Making Hadoop based analytics simple for everyone to use

•

2 j'aime•1,987 vues

This talk was held at the 13th meeting on Sept 23rd 2014 by Bruno Ungermann. Conceptual overview of Hadoop based analytics, comparison between data warehouse architecture and Big Data architecture, characteristics of „schema on read“, typical Big Data use cases like customer analytics, operational analytics and EDW optimization, short software demo

Technologie

Datameer!
Big Data Analytics for Hadoop!
© 2014 Datameer, Inc. All rights reserved.

Datameer’s Vision!
Make big data analytics
simple for everyone
© 2014 Datameer, Inc. All rights reserved.

200 Customers/240 Deployments!
© 2014 Datameer, Inc. All rights reserved.

Datameer Addresses All 3 Issues
Volume
Data
Size
Gartner’s definition of Big Data
Data
CBoimg pDleaxtiaty

The Lean Data Supply Chain!
© 2014 Datameer, Inc. All rights reserved.

Classical Data Pipeline (structured, well known)!
© 2014 Datameer, Inc. All rights reserved.
Oracle Warehouse 70
Terabyte, 128 Cores,
25.000 Jobs PL/SQL per
day!
Informatica, Talend,
Flume, Sqoop...! Trifacta, Paxata, PIG...!
Tableau, Qlikview,
Platfora...! TDWI: 18 Monate!

Modern Data Pipeline!
© 2014 Datameer, Inc. All rights reserved.

Datameer: Fastest Time to Insights!
EDW
ETL
Data Warehouse
BI
© 2014 Datameer, Inc. All rights reserved.
Time
Simplicity
Datameer
Integrate
Analyze
Visualize
Complex
1
month
12
months
18
months
Custom Big Data
Raw Data
Hadoop
Flume
Hive
Pig
Sqoop

End-to-End Big Data Analytics for Hadoop!
Wizard-led Data Integration
© 2014 Datameer, Inc. All rights reserved.
! No ETL
! 55+ Connectors + plug-in API
! Smart Sampling
Point-and-click Analytics
! Spreadsheet UI
! 250+ pre-built functions
! Visual Data Profiling
Drag-and-Drop Visualization
! HTML5 support
! View on any device

Add-ons: Apps + Data Mining!
Pre-built Applications! Drag & Drop Data Mining!
© 2013 Datameer, Inc. All rights reserved.
New!!

Enterprise Integration
© 2013 Datameer, Inc. All rights reserved.

Big Data Use Cases
© 2014 Datameer, Inc. All rights reserved.
Data-Driven
Products & Services
Customer
Analytics
Operational
Analytics
EDW Optimization

Examples of Customer ROI!
Data-Driven
Products & Services
© 2014 Datameer, Inc. All rights reserved.
Customer
Analytics
Operational
Analytics
EDW
Optimization
Increased
Customer
conversion by 3x
Developed new
premium
service offering
98% OpEx savings
$1M+ CapEx
savings
Saved $22,000 /
minute

Customer Analytics!
Increase Customer
Acquisition
Decrease Customer
Acquisition Cost
Increase Revenue per
Customer
© 2014 Datameer, Inc. All rights reserved.
Reduce Customer Churn
Product Enhancement

Operational Analytics!
Industrial Monitoring &
Optimization
IT Operation Analytics
© 2014 Datameer, Inc. All rights reserved.
Internet of Things
Network Planning
Supply Chain

Data-Driven Products & Services!
Integrated Analytics
Data ProductData Improved Service
© 2014 Datameer, Inc. All rights reserved.

Contenu connexe

Tendances

Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%

Cloudera, Inc.

WestJet Customer Presentation

Splunk

In this webinar, Cloudera and AtScale will showcase: How a company can modernize their analytic architecture to deliver flexibility and agility to more end-users. How using AtScale’s Universal Semantic layer can end the data chaos and allow business users to use the data in the modern platform. Highlight the performance of AtScale and Cloudera’s analytic database with newly completed TPC-DS standard benchmarking. Best practices for migrating from legacy appliances.

Consolidate your data marts for fast, flexible analytics 5.24.18

Cloudera, Inc.

Data Science for IOT - Prabal Acharyya, OSIsoft Internet of Things World SF 2015

Prabal Acharyya

SplunkLive! Customer Presentation - Cardinal Health

Splunk

University of Alberta Customer Presentation

Splunk

Wondering how to improve on your production yield, increase asset life and activate reliability centered maintenance? TEKsystems has developed “Golden Batch” recommendation engine to realize your goals of modern manufacturing. This is a Predictive analytics framework built on top of Manufacturing Data Lake for analysis and training of machine learning algorithms, and subsequent processing and detection of streaming data from sensors to detect or predict failures. We’ll present a solution architecture featuring Spring XD for data pipelining, Apache Geode for in-memory processing, Hadoop as a data lake, and R for machine learning.

#GeodeSummit - Modern manufacturing powered by Spring XD and Geode

PivotalOpenSourceHub

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/the-data-driven-engineering-revolution-a-presentation-from-edge-impulse/ Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “Data-Driven Engineering Revolution” tutorial at the May 2021 Embedded Vision Summit. In this talk, IoT industry pioneer and Edge Impulse co-founder Zach Shelby shares insights about how machine learning is revolutionizing embedded engineering. Advances in silicon and deep learning are enabling embedded machine learning (TinyML) to be deployed where data is born, from industrial sensor data to audio and video. Shelby explains the new paradigm of data-driven engineering with ML, showing how developers are using data instead of code to drive algorithm innovation. To support widespread deployment, ML workloads need to run on embedded computing targets from MCUs to GPUs, with MLOps processes to support efficient development and deployment. Industrial, logistics and health markets are particularly ripe to deploy this data-driven approach, and Shelby highlights several exciting case studies.

“The Data-Driven Engineering Revolution,” a Presentation from Edge Impulse

Edge AI and Vision Alliance

A new foundation for the Modern Information Architecture. Speaker: Amr Awadallah, CTO & Cofounder, Cloudera Our legacy information architecture is not able to cope with the realities of today's business. This is because it is not able to scale to meet our SLAs due to separation of storage and compute, economically store the volumes and types of data we currently confront, provide the agility necessary for innovation, and most importantly, provide a full 360 degree view of our customers, products, and business. In this talk Dr. Amr Awadallah will present the Enterprise Data Hub (EDH) as the new foundation for the modern information architecture. Built with Apache Hadoop at the core, the EDH is an extremely scalable, flexible, and fault-tolerant, data processing system designed to put data at the center of your business.

Evolution from Apache Hadoop to the Enterprise Data Hub by Cloudera - ArabNet...

ArabNet ME

The benefits of Cloud are impacting all industries - but the route to adoption isn't always straight forward. Once implemented, many organisations find it more difficult to manage than originally expected. There are growing challenges at every stage and knowing what to focus on and how to holistically migrate and optimise cloud systems can save you from what can become a very costly series of learning curves. This webinar explores how businesses can adopt, migrate and optimise cloud systems within their organisation with a step-by-step roadmap.

Cloud Best Practices

enzoriv

Data-Based Maintenance: The Killer App for IoT

Michael Kanellos

In this interactive panel discussion, you will hear from these Spark experts as to why they chose to go "all-in" on Spark, leveraging the rich core capabilities that make Spark so exciting, and committing to significant IP that turns Spark into a world-class enterprise data preparation engine. Raymond and David will explain specific cases where capabilities were built on top of core Spark to provide a true interactive data prep application experience. Innovations such as creating a Domain Specific Language (DSL), an optimizing compiler, a persistent columnar caching layer, application specific Resilient Distributed Datasets (RDDs), on-line aggregation operators to solve the core memory, pipelining and shuffling obstacles to produce a highly interactive application with the core user and data volume scale-out benefits of Spark.

Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...

Data Con LA

AI in Software for Augmenting Intelligence Across the Enterprise

The Hive

Spark & Hadoop in Production - Pepperdata Meetup

Becky Mendenhall

This talk introduces an open-source solution that integrates cloud native apps running on Cloud Foundry with an open-source hybrid transactions + analytics real-time solution. The architecture is based on the fastest scalable, highly available and fully consistent In-Memory Data Grid (Apache Geode / GemFire), natively integrated to the first open-source massive parallel data warehouse (Greenplum Database) in a hybrid transactional and analytical architecture that is extremely fast, horizontally scalable, highly resilient and open source. This session also features a live demo running on Cloud Foundry, showing a real case of real-time closed-loop analytics and machine learning using the featured solution.

#GeodeSummit: Architecting Data-Driven, Smarter Cloud Native Apps with Real-T...

PivotalOpenSourceHub

Intro to Big Data and Apache Hadoop by Dr. Amr Awadallah at CLOUD WEEKEND '13...

TheInevitableCloud

Sqrrl March Webinar: How to Build a Big App

Sqrrl

Nimbix HPC Cloud Deck - 2015

Don Allen

Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions. As an AWS Advanced Consulting Partner, Impetus offers an ML-based automated solution for data warehouse, ETL, and analytics workload transformation to AWS. You can convert almost all legacy sources to an AWS-native technology stack (Redshift-EMR, Glue, Lambda, etc.) 4x faster than hand-coding. Join us as we share our experience in delivering continued value to Fortune 1000 companies. The webinar will detail the following: Critical considerations for moving to AWS A strategy for transforming workloads to AWS Nuances of workload conversion to AWS A demo of the fastest way to convert ETL, analytics, and data warehouse to AWS To learn more - https://bit.ly/2RHJeac

The fastest way to convert etl analytics and data warehouse to AWS- Impetus W...

Impetus Technologies

The connected enterprise. Is your business ready?

RoutecoMarketing

Tendances (20)

Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%

WestJet Customer Presentation

Consolidate your data marts for fast, flexible analytics 5.24.18

Data Science for IOT - Prabal Acharyya, OSIsoft Internet of Things World SF 2015

SplunkLive! Customer Presentation - Cardinal Health

University of Alberta Customer Presentation

#GeodeSummit - Modern manufacturing powered by Spring XD and Geode

“The Data-Driven Engineering Revolution,” a Presentation from Edge Impulse

Evolution from Apache Hadoop to the Enterprise Data Hub by Cloudera - ArabNet...

Cloud Best Practices

Data-Based Maintenance: The Killer App for IoT

Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...

AI in Software for Augmenting Intelligence Across the Enterprise

Spark & Hadoop in Production - Pepperdata Meetup

#GeodeSummit: Architecting Data-Driven, Smarter Cloud Native Apps with Real-T...

Intro to Big Data and Apache Hadoop by Dr. Amr Awadallah at CLOUD WEEKEND '13...

Sqrrl March Webinar: How to Build a Big App

Nimbix HPC Cloud Deck - 2015

The fastest way to convert etl analytics and data warehouse to AWS- Impetus W...

The connected enterprise. Is your business ready?

En vedette

The World Wide Distributed Computing Architecture of the LHC Datagrid

Swiss Big Data User Group

Large Hadron Collider

Pranjal Maurya

(Presented at MapR's Big Data Everywhere event in Redwood City, CA in December 2016) The relationship between business teams and IT has changed as the complexity of data has increased. A traditional data pipeline designed for an IT-centered approach to information management is not designed for the data demands of today's business decisions. Designing a big data strategy requires modernizing previous approaches. Self-service data preparation in a collaborative, intuitive, governed, and secure environment is the key to a nimble and decisive business unit.

Reinventing the Modern Information Pipeline: Paxata and MapR

Lilia Gutnik

Switzerland Analysis

domsr

Grid computing [2005]

Raul Soto

Introducción al Grid Computing

Esteban Saavedra

Grid computing ppt

Richa Chaudhary

Distributed Systems

Rupsee

En vedette (8)

The World Wide Distributed Computing Architecture of the LHC Datagrid

Large Hadron Collider

Reinventing the Modern Information Pipeline: Paxata and MapR

Switzerland Analysis

Grid computing [2005]

Introducción al Grid Computing

Grid computing ppt

Distributed Systems

Similaire à Making Hadoop based analytics simple for everyone to use

The Future of Data Management: The Enterprise Data Hub

Cloudera, Inc.

Big Data enables you to combine the vast amount of customer behavior data being generated from mobile, web, social media, transaction systems, Ads and turn them into new insights that drive customer acquisition and retention. This talk will highlight and showcase how leading edge companies are leveraging big data to: Combine customer interaction data to understand customer buying journey Understand high-value customer behavior beyond profile segmentation Identify the most common path to customer churn Perform market basket analysis to help with cross-sell and up-sell Speakers: Matt Schumpert Director of Product Management Matt has been working in the enterprise infrastructure software space for 15 years in various capacities, including product management, sales engineering, sales leadership and strategic alliances. An early employee of Big Data pioneer Datameer, Matt is currently focused on driving the strategic direction and technology strategy for Datameer’s flagship Big Data analytics product. Previously, Matt built the sales engineering organization at Datameer, managed strategic partnerships at Oracle & BEA Systems in the US an Europe, and drove sales of business rules management software at ILOG (now IBM). Matt holds a BS in Computer Science from the University of Virginia.

Understanding Customer Buying Journey with Big Data

AnalyticsWeek

The Future of Data Management: The Enterprise Data Hub

Cloudera, Inc.

Businesses want to execute an analytical job at scale in Hadoop, but different parts of that job are potential candidates for specific execution engines so that the job performs under optimal conditions. In addition, past engines such as classic Map Reduce are potentially giving way to new ones such as Spark. This talk will demonstrate how you can leverage the Datameer application to hide the complexity of choosing the right execution engine for an analytical job at scale in Hadoop, and how Spark fits into this context.

Operating in a Multi-execution Engine Hadoop Environment by Erik Halseth of D...

Data Con LA

Turning Data into Business Value with a Modern Data Platform

Cloudera, Inc.

Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight

Cloudera, Inc.

Manufacturers have an abundance of data, whether from connected sensors, plant systems, manufacturing systems, claims systems and external data from industry and government. Manufacturers face increased challenges from continually improving product quality, reducing warranty and recall costs to efficiently leveraging their supply chain. For example, giving the manufacturer a complete view of the product and customer information integrating manufacturing and plant floor data, with as built product configurations with sensor data from customer use to efficiently analyze warranty claim information to reduce detection to correction time, detect fraud and even become proactive around issues requires a capable enterprise data hub that integrates large volumes of both structured and unstructured information. Learn how an enterprise data hub built on Hadoop provides the tools to support analysis at every level in the manufacturing organization.

Hadoop and Manufacturing

Cloudera, Inc.

The Journey to Success with Big Data

Cloudera, Inc.

PRGX is the world's leading provider of accounts payable audit services and works with leading global retailers. As new forms of data started to flow into their organizations, standard RDBMS systems were not allowing them to scale. Now, by using Talend with Cloudera Enterprise, they are able to acheive a 9-10x performance benefit in processing data, reduce errors, and now provide more innovative products and services to end customers. Watch this webinar to learn how PRGX worked with Cloudera and Talend to create a high-performance computing platform for data analytics and discovery that rapidly allows them to process, model, and serve massive amount of structured and unstructured data.

Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...

Cloudera, Inc.

Higher ROI-N

Anupam Jaiswal

What is the value of big data? How does a user get that value? Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers. In this session, you will learn: How analysts get value out of big data How to visualize data at every step of analysis How analysts can do big data analytics without IT, in one product

Webinar - Big Data: Power to the User

Datameer

Analytic workloads and the ability to determine “what happened” are some of the most common use cases across enterprises today - helping you understand and adapt based on changing trends. However, for most businesses today, they are only able to see a piece of the story. Analytics are limited by the amount of data able to be stored and ultimately accessed, it’s time-intensive to bring in new datasets or fit unstructured data into rigid schemas, and user access is constrained to a select few who must already know the questions they’re trying to answer. It’s no surprise that big data is disrupting this modus operandi for analytics. A modern, Hadoop-based platform is designed to help businesses break free of these analytic limitations, providing a new kind of adaptive, high-performance analytic database. The recent release of Cloudera 5.8 continues to advance Cloudera Enterprise as the foundation for these analytic workloads. Join Justin Erickson, Senior Director of Product Management at Cloudera, and Andy Frey, Chief Technology Officer at Marketing Associates, as they discuss: -What technology is needed to build a modern analytic database with Hadoop -What’s new with Cloudera 5.8 -How to align your teams around agile analytics -Real world success from Marketing Associates -What’s next for Cloudera Enterprise’s Analytic Database

Building a Modern Analytic Database with Cloudera 5.8

Cloudera, Inc.

Simplifying Real-Time Architectures for IoT with Apache Kudu

Cloudera, Inc.

What if… …your data stores were limitless and accessible? …data discovery was fast… really fast? …connectivity was so seamless you could almost take it for granted? And what if you could do all this with your preferred BI tool? Learn how to integrate Cloudera Enterprise with SAP Lumira via embedded connectivity from Simba Technologies. In this interactive webinar, experts from Cloudera, SAP, and Simba Technologies will introduce strategies for overcoming current data-discovery challenges, show you how to achieve powerful analytical insight, and demonstrate how to integrate Cloudera Enterprise with SAP Lumira.

Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...

Cloudera, Inc.

To view the full webinar, please go to: http://info.datameer.com/Slideshare-Complement-Your-Existing-EDW-with-Hadoop-OnDemand.html With 40% yearly growth in data volumes, traditional data warehouses have become increasingly expensive and challenging. Much of today’s new data sources are unstructured, making the structured data warehouse an unsuitable platform for analyses. As a result, organizations now look at Hadoop as a data platform to complement existing BI data warehouses, and a scalable, flexible and cost-effective solution for data storage and analysis. Join Datameer and Cloudera in this webinar to discuss how Hadoop and big data analytics can help to: -Get all the data your business needs quickly into one environment Shorten the time to insight from months to days Extend the life of your existing data warehouse investments Enable your business analysts to ask and answer bigger questions

Complement Your Existing Data Warehouse with Big Data & Hadoop

Datameer

Bernard Doering, Senior Slaes Director DACH, Cloudera. Hadoop and the Future of Data Management. As Hadoop takes the data management market by storm, organisations are evolving the role it plays in the modern data centre. Explore how this disruptive technology is quickly transforming an industry and how you can leverage it today, in combination with MongoDB, to drive meaningful change in your business.

MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera

MongoDB

Silicon Valley Code Camp -- October 11, 2014. Session: Getting started with Hadoop on the Cloud. Hadoop and Cloud is an almost perfect marriage. Hadoop is a distributed computing framework that leverages a cluster built on commodity hardware. The Cloud simplifies provisioning of machines and software. Getting started with Hadoop on the Cloud makes it simple to provision your environment quickly and actually get started using Hadoop. IBM Bluemix has democratized Hadoop for the masses! This session will provide a brief introduction to what Hadoop is, how does cloud work and will then focus on how to get started via a series of demos. We will conclude with a discussion around the tutorials and public datasets - all of the tools needed to get you started quickly. Learn more about BigInsights for Hadoop: https://developer.ibm.com/hadoop/

Getting started with Hadoop on the Cloud with Bluemix

Nicolas Morales

Demand for quicker access to multiple integrated sources of data continues to rise. Immediate access to data stored in a variety of systems - such as mainframes, data warehouses, and data marts - to mine visually for business intelligence is the competitive differentiation enterprises need to win in today’s economy. Stop playing the waiting game and learn about a new end-to-end solution for combining, analyzing, and visualizing data from practically any source in your enterprise environment. Leading organizations are already taking advantage of this architectural innovation to gain modern insights while reducing costs and propelling their businesses ahead of the competition. Are you tired of waiting? Don't let your architecture hold you back. Access this webinar and hear from a team of industry experts on how you can Break the Barriers to Big Data Insight.

Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight

Precisely

Data Driven With the Cloudera Modern Data Warehouse 3.19.19

Cloudera, Inc.

There are 250 Database products, are you running the right one?

Aerospike, Inc.

Similaire à Making Hadoop based analytics simple for everyone to use (20)

The Future of Data Management: The Enterprise Data Hub

Understanding Customer Buying Journey with Big Data

The Future of Data Management: The Enterprise Data Hub

Operating in a Multi-execution Engine Hadoop Environment by Erik Halseth of D...

Turning Data into Business Value with a Modern Data Platform

Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight

Hadoop and Manufacturing

The Journey to Success with Big Data

Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...

Higher ROI-N

Webinar - Big Data: Power to the User

Building a Modern Analytic Database with Cloudera 5.8

Simplifying Real-Time Architectures for IoT with Apache Kudu

Limitless Data, Rapid Discovery, Powerful Insight: How to Connect Cloudera to...

Complement Your Existing Data Warehouse with Big Data & Hadoop

MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera

Getting started with Hadoop on the Cloud with Bluemix

Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight

Data Driven With the Cloudera Modern Data Warehouse 3.19.19

There are 250 Database products, are you running the right one?

Plus de Swiss Big Data User Group

This talk was held at the 12th meeting on July 22 2014 by Karen Zhang. Customers in business-to-consumer (B2C) and business-to-business (B2B) markets go through similar buying journey: need, search, evaluate, and finally order. Thus similar customer analytics approaches are applicable to both scenarios. However company’s go-to-market strategies are usually different in B2C vs. B2B. This study discusses unique characteristics of analytic methodologies applied in B2B vs. B2C. Two case studies will be presented to illustrate similarities and differences.

Data Analytics – B2B vs. B2C

Swiss Big Data User Group

This talk was held at the 12th meeting on July 22 2014 by Romeo Kienzler. After giving a short contextual overview about SQL for Hadoop projects in the Ecosystem (Hive, Impala, Presto, Cascading Lingual, ...) we will hear about the latest SQL for Hadoop features in Big SQL. Big SQL delivers some exciting capabilities including low latency and high performance queries while maintaining backwards compatibility to Hive and HCatalog. This is achieved by a optimizer and dedicated execution framework which will be covered in detail. Finally as demo of Big SQL v3.0 on a cluster in Silicon Valley Lab (SVL) will be shown.

SQL on Hadoop

Swiss Big Data User Group

This talk was held at the 11th meeting on April 7 2014 by Marcel Kornacker. Impala (impala.io) raises the bar for SQL query performance on Apache Hadoop. With Impala, you can query Hadoop data – including SELECT, JOIN, and aggregate functions – in real time to do BI-style analysis. As a result, Impala makes a Hadoop-based enterprise data hub function like an enterprise data warehouse for native Big Data.

Building a Hadoop Data Warehouse with Impala

Swiss Big Data User Group

This talk was held at the 11th meeting on April 7 2014 by Karolina Alexiou. Analysis of big data is useless (and a lot harder to sell) when you can't measure whether the resulting insights are correct. In order to develop sophisticated data analysis methodologies tailored to your particular use-case, you need to be able to figure out what works and what doesn't. It is crucial to gather data independently to your analysis (ground truth) and compare it to your results using the correct metrics and account for biases. The sheer volume of data means that you also need to have a strategy for slicing and dicing the data to isolate the really valuable parts, and also, a keen eye for visualization so that you can quickly compare methodologies and support the validity of your insights to third parties.

Closing The Loop for Evaluating Big Data Analysis

Swiss Big Data User Group

This talk was held at the 10th meeting on February 3rd 2014 by Daniel Fasel. Many traditional Swiss companies, such as banks, insurance companies and government agencies, are highly interested in Big Data and Data Science but don’t know exactly what the business value of Big Data is for them. Often Big Data is misinterpreted as large amounts of data and companies are unaware of the innovation behind the new technologies of Big Data and how these technologies can be profitable to them. In this presentation, I discuss sample cases that demonstrate a set of these new technologies and how they can be applied not only for large web scale data but also for data sets of traditional companies. First, I demonstrate how multi-structured data can be indexed and searched using Autonomy. I show how fast new analytical application can be built based on a real-time streaming example using STORM, Redis and Node.js. And the last demonstration shows how machine learning algorithms and visualization can be applied for improving analytics using AsterData.

Big Data and Data Science for traditional Swiss companies

Swiss Big Data User Group

This talk was held at the 10th meeting on February 3rd 2014 by Sean Owen. Having collected Big Data, organizations are now keen on data science and “Big Learning”. Much of the focus has been on data science as exploratory analytics: offline, in the lab. However, building from that a production-ready large-scale operational analytics system remains a difficult and ad-hoc endeavor, especially when real-time answers are required. Design patterns for effective implementations are emerging, which take advantage of relaxed assumptions, adopt a new tiered "lambda" architecture, and pick the right scale-friendly algorithms to succeed. Drawing on experience from customer problems and the open source Oryx project at Cloudera, this session will provide examples of operational analytics projects in the field, and present a reference architecture and algorithm design choices for a successful implementation.

Design Patterns for Large-Scale Real-Time Learning

Swiss Big Data User Group

This talk was held at the 10th meeting on February 3rd 2014 by Dr. Thilo Stadelmann. Many companies are struggling with Big Data. Some argue that Big Data is the new answer to all problems while others are more critical about it. What is common to many discussions with IT professionals is that almost everyone has a different understanding of the topic. Moreover, many enterprises find it very hard to recruit the perfect data scientist to solve Big Data problems. In this talk we give an overview of our understanding of data science and present the driving factors for the newly established Datalab at Zurich University of Applied Sciences. The goal of the lab is to establish a sound curriculum and research agenda to prepare data scientists for the ever-increasing demand from industry and to allow industry partners collaborate with academia to solve problems that go beyond everyday routines.

Educating Data Scientists of the Future

Swiss Big Data User Group

Unleash the power of Big Data in your existing Data Warehouse

Swiss Big Data User Group

Big data is an opportunity for communications service providers (CSPs) to create the intelligence for operating their infrastructures more efficiently, to analyze the success of their services, and to create a better personal experience for their customers. CSP Top executives, Network and IT managers and Marketing, are eager to exploit the large amount of information to achieve better business decisions. They expect their Chief Technical Officer to provide end-to-end analytic solutions based on the data available in their IT and network infrastructure. This presentation analyzes the complete value chain that can transform CSPs’ data to knowledge. It covers the sources of information, the data collection tools, the analytic platforms providing quick data access, and finally the business intelligence use cases with the presentation and visualization of the results and predictions.

Big data for Telco: opportunity or threat?

Swiss Big Data User Group

The "Babelfish" system is built with Scala and runs in the Java Virtual Machine. For graph persistence, a neo4j database with Lucene index is used. A generic importer module reads data from various data sources and persists them in a version-aware way, using the domain model as a schema. The schema is used by our domain specific language to statically verify queries. Query results can either be in the form of graphs or tables. For the latter, an additional step uses an in-memory SQL-Database for further processing of the results. Queries in the generated DSL can be submitted via a REST interface. The server uses json4s for serialization of the results. This interface as well as the deployable war-file is generated by the web framework Scalatra.

Project "Babelfish" - A data warehouse to attack complexity

Swiss Big Data User Group

Brainserve Datacenter: the High-Density Choice

Swiss Big Data User Group

Urturn on AWS: scaling infra, cost and time to maket

Swiss Big Data User Group

New opportunities for connected data : Neo4j the graph database

Swiss Big Data User Group

Technology Outlook - The new Era of computing

Swiss Big Data User Group

While user tracking with WebTrends, comScore, Google Analytics etc. is a de-facto standard in the online world, tracking visitors in the real world is still fragmented. From a wide perspective, potential tracking data is produced by various sensors. With a real ‘bricks and mortar’ store, one could figure out possible sensors they could use: customer frequency counters at the doors, the cashier system, free WiFi access points, video capture, temperature, background music, smells and many more. For many of those sensors additional hardware and software would be needed, but a few sensors already have solutions available, e.g. video capturing with face or even eye recognition. The most interesting sensor data that doesn’t require additional hardware and software could be the WiFi access points. Especially given that many visitors will have WiFi enabled mobile phones. This talk demonstrates how WiFi access point log files can be used to answer different questions for a particular store.

In-Store Analysis with Hadoop

Swiss Big Data User Group

ParaView is an open-source graphical user interface for VTK with additional functionality including the capability to perform rendering in parallel and a client-server architecture enabling visualization and analysis to be performed on a server while being viewed and driven from a client. ParaView, like VTK, is open-sourced under a BSD license and its development is overseen by the commercial entity, Kitware, Inc. ParaView is multi-platform, extensible via its plugin architecture, and natively supports many common data analysis tasks and data formats. As it builds upon VTK, any VTK functionality can in principle be invoked. In practice not all VTK functionality is exposed by default but can easily be exposed or extended via the plugin architecture previously mentioned and discussed in more detail below. Exposing VTK functionality is as easy as writing a short XML file. In this talk I present the process of plugging into ParaView to do visualization and analysis of terabytes of data in real time.

Big Data Visualization With ParaView

Swiss Big Data User Group

Apache Drill [1] is a distributed system for interactive analysis of large-scale datasets, inspired by Google’s Dremel technology. It is a design goal to scale to 10,000 servers or more and to be able to process Petabytes of data and trillions of records in seconds. Since its inception in mid 2012, Apache Drill has gained widespread interest in the community. In this talk we focus on how Apache Drill enables interactive analysis and query at scale. First we walk through typical use cases and then delve into Drill's architecture, the data flow and query languages as well as data sources supported. [1] http://incubator.apache.org/drill/

Introduction to Apache Drill

Swiss Big Data User Group

Oracle's BigData solutions consist of a number of new products and solutions to support customers looking to gain maximum business value from data sets such as weblogs, social media feeds, smart meters, sensors and other devices that generate massive volumes of data (commonly defined as ‘Big Data’) that isn’t readily accessible in enterprise data warehouses and business intelligence applications today.

Oracle's BigData solutions

Swiss Big Data User Group

Introducing Splunk – The Big Data Engine

Swiss Big Data User Group

James Kinley from Cloudera: An introduction to Cloudera Impala. Cloudera Impala provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS or HBase. In addition to using the same unified storage platform, Impala also uses the same metadata, SQL syntax (Hive SQL), ODBC driver and user interface (Hue Beeswax) as Apache Hive. This provides a familiar and unified platform for batch-oriented or real-time queries. The link to the video: http://zurichtechtalks.ch/post/37339409724/an-introduction-to-cloudera-impala-sql-on-top-of

Cloudera impala

Swiss Big Data User Group

Plus de Swiss Big Data User Group (20)

Data Analytics – B2B vs. B2C

SQL on Hadoop

Building a Hadoop Data Warehouse with Impala

Closing The Loop for Evaluating Big Data Analysis

Big Data and Data Science for traditional Swiss companies

Design Patterns for Large-Scale Real-Time Learning

Educating Data Scientists of the Future

Unleash the power of Big Data in your existing Data Warehouse

Big data for Telco: opportunity or threat?

Project "Babelfish" - A data warehouse to attack complexity

Brainserve Datacenter: the High-Density Choice

Urturn on AWS: scaling infra, cost and time to maket

New opportunities for connected data : Neo4j the graph database

Technology Outlook - The new Era of computing

In-Store Analysis with Hadoop

Big Data Visualization With ParaView

Introduction to Apache Drill

Oracle's BigData solutions

Introducing Splunk – The Big Data Engine

Cloudera impala

Dernier

Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

CNIC Information System with Pakdata Cf In Pakistan

danishmna97

Six Myths about Ontologies: The Basics of Formal Ontology

johnbeverley2021

DBX First Quarter 2024 Investor Presentation

Dropbox

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Zilliz

Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2

ICT role in 21st century education and its challenges

rafiqahmad00786416

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Vector Search -An Introduction in Oracle Database 23ai.pptx

Remote DBA Services

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

Architecting Cloud Native Applications

WSO2

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

apidays

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@

Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...

apidays

Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Orbitshub

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

apidays

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

Dernier (20)

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

CNIC Information System with Pakdata Cf In Pakistan

Six Myths about Ontologies: The Basics of Formal Ontology

DBX First Quarter 2024 Investor Presentation

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

WSO2's API Vision: Unifying Control, Empowering Developers

ICT role in 21st century education and its challenges

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

How to Troubleshoot Apps for the Modern Connected Worker

Vector Search -An Introduction in Oracle Database 23ai.pptx

Why Teams call analytics are critical to your entire business

Architecting Cloud Native Applications

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

FWD Group - Insurer Innovation Award 2024

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Apidays New York 2024 - The value of a flexible API Management solution for O...

Understanding the FAA Part 107 License ..

Making Hadoop based analytics simple for everyone to use

4. Datameer Addresses All 3 Issues Volume Data Size Gartner’s definition of Big Data Data CBoimg pDleaxtiaty

6. Classical Data Pipeline (structured, well known)! © 2014 Datameer, Inc. All rights reserved. Oracle Warehouse 70 Terabyte, 128 Cores, 25.000 Jobs PL/SQL per day! Informatica, Talend, Flume, Sqoop...! Trifacta, Paxata, PIG...! Tableau, Qlikview, Platfora...! TDWI: 18 Monate!

8. Datameer: Fastest Time to Insights! EDW ETL Data Warehouse BI © 2014 Datameer, Inc. All rights reserved. Time Simplicity Datameer Integrate Analyze Visualize Complex 1 month 12 months 18 months Custom Big Data Raw Data Hadoop Flume Hive Pig Sqoop

9. End-to-End Big Data Analytics for Hadoop! Wizard-led Data Integration © 2014 Datameer, Inc. All rights reserved. ! No ETL ! 55+ Connectors + plug-in API ! Smart Sampling Point-and-click Analytics ! Spreadsheet UI ! 250+ pre-built functions ! Visual Data Profiling Drag-and-Drop Visualization ! HTML5 support ! View on any device

13. Examples of Customer ROI! Data-Driven Products & Services © 2014 Datameer, Inc. All rights reserved. Customer Analytics Operational Analytics EDW Optimization Increased Customer conversion by 3x Developed new premium service offering 98% OpEx savings $1M+ CapEx savings Saved $22,000 / minute

14. Customer Analytics! Increase Customer Acquisition Decrease Customer Acquisition Cost Increase Revenue per Customer © 2014 Datameer, Inc. All rights reserved. Reduce Customer Churn Product Enhancement

Making Hadoop based analytics simple for everyone to use

Recommandé

Recommandé

Contenu connexe

Tendances

Tendances (20)

En vedette

En vedette (8)

Similaire à Making Hadoop based analytics simple for everyone to use

Similaire à Making Hadoop based analytics simple for everyone to use (20)

Plus de Swiss Big Data User Group

Plus de Swiss Big Data User Group (20)

Dernier

Dernier (20)

Making Hadoop based analytics simple for everyone to use