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Hortonworks & Bilot Data Driven Transformations with Hadoop
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Bilot Breakfast Seminar, Helsinki, 2015-11-19. Hortonworks HDP Hadoop & Use cases.
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Hortonworks & Bilot Data Driven Transformations with Hadoop
1.
Data driven transformations Mats
Johansson Solutions Engineer - EMEA © Hortonworks Inc. 2011 – 2015. All Rights Reserved
2.
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© Hortonworks Inc. 2014 Traditional systems under pressure Challenges • Constrains data to app • Can’t manage new data • Costly to Scale Business Value Clickstream Geolocation Web Data Internet of Things Docs, emails Server logs 2012 2.8 Zettabytes 2020 40 Zettabytes LAGGARDS INDUSTRY LEADERS 1 2 New Data ERP CRM SCM New Traditional
3.
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© Hortonworks Inc. 2014 Modern Data Architecture emerges to unify data & processing Modern Data Architecture • Enable applications to have access to all your enterprise data through an efficient centralized platform • Supported with a centralized approach governance, security and operations • Versatile to handle any applications and datasets no matter the size or type Clickstream Web & Social Geolocation Sensor & Machine Server Logs Unstructured SOURCES Existing Systems ERP CRM SCM ANALYTICS Data Marts Business Analytics Visualization & Dashboards ANALYTICS Applications Business Analytics Visualization & Dashboards ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° HDFS (Hadoop Distributed File System) YARN: Data Operating System Interactive Real-TimeBatch Partner ISVBatch BatchMP P EDW
4.
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© Hortonworks Inc. 2014 Hortonworks Data Platform powered by Apache Hadoop Hortonworks Data Platform powered by Apache Hadoop Enrich Context Store Data and Metadata Internet of Anything Hortonworks DataFlow powered by Apache NiFi Perishable Insights Historical Insights Hortonworks DataFlow Adds to Hadoop Capabilities Hortonworks DataFlow and Hortonworks Data Platform deliver the industry’s most complete solution Big Data management
5.
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© Hortonworks Inc. 2014 Only Hortonworks Delivers Open Enterprise Hadoop H O R T O N W O R K S D ATA P L AT F O R M YARN: Data Operating System CLICKSTREAM SENSOR SOCIAL MOBILE GEOLOCATION SERVERLOG Batch Interactive Search Streaming Machine Learning EXISTING
6.
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© Hortonworks Inc. 2014 YA R N D A T A O P E R A T I N G S Y S T E M OPERATI ONS SECURI TY GOVERNANCE STORAGE STORAGE Machine Learning Batch StreamingInteractive Search Centralized Platform for operations, governance and security Diverse Applications run simultaneously on a single cluster Maximum Data Ingest including existing and new sources, regardless of raw format Shared Big Data Assets across business groups, functions and users Centralized Platform with YARN-Based Architecture
7.
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© Hortonworks Inc. 2014 Offering You the Most Flexibility A N Y D ATA Existing and new datasets A N Y A P P L I C AT I O N Multiple engines for data analysis A N Y W H E R E Complete range of deployment options Batch Interactive Search Streaming Machine Learning Click- stream Sensor Social Mobile Geo- Location Server Log Linux Windows CloudOn-Premise
8.
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© Hortonworks Inc. 2014 Hortonworks Capabilities The Data Flow Thing Process and Analyze Collect Store & Integrate
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© Hortonworks Inc. 2014 Hadoop Driver: Cost optimization Archive Data off EDW Move rarely used data to Hadoop as active archive, store more data longer Offload costly ETL process Free your EDW to perform high-value functions like analytics & operations, not ETL Enrich the value of your EDW Use Hadoop to refine new data sources, such as web and machine data for new analytical context ANALYTICS Data Marts Business Analytics Visualization & Dashboards HDP helps you reduce costs and optimize the value associated with your EDW ANALYTICSDATA SYSTEMS Data Marts Business Analytics Visualization & Dashboards HDP 2.3 ELT ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° N Cold Data, Deeper Archive & New Sources Enterprise Data Warehouse Hot MPP In-Memory Clickstream Web & Social Geolocation Sensor & Machine Server Logs Unstructured Existing Systems ERP CRM SCM SOURCES
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© Hortonworks Inc. 2014 Single View Improve acquisition and retention Predictive Analytics Identify your next best action Data Discovery Uncover new findings Financial Services New Account Risk Screens Trading Risk Insurance Underwriting Improved Customer Service Insurance Underwriting Aggregate Banking Data as a Service Cross-sell & Upsell of Financial Products Risk Analysis for Usage-Based Car Insurance Identify Claims Errors for Reimbursement Telecom Unified Household View of the Customer Searchable Data for NPTB Recommendations Protect Customer Data from Employee Misuse Analyze Call Center Contacts Records Network Infrastructure Capacity Planning Call Detail Records (CDR) Analysis Inferred Demographics for Improved Targeting Proactive Maintenance on Transmission Equipment Tiered Service for High-Value Customers Retail 360° View of the Customer Supply Chain Optimization Website Optimization for Path to Purchase Localized, Personalized Promotions A/B Testing for Online Advertisements Data-Driven Pricing, improved loyalty programs Customer Segmentation Personalized, Real-time Offers In-Store Shopper Behavior Manufacturing Supply Chain and Logistics Optimize Warehouse Inventory Levels Product Insight from Electronic Usage Data Assembly Line Quality Assurance Proactive Equipment Maintenance Crowdsource Quality Assurance Single View of a Product Throughout Lifecycle Connected Car Data for Ongoing Innovation Improve Manufacturing Yields Healthcare Electronic Medical Records Monitor Patient Vitals in Real-Time Use Genomic Data in Medical Trials Improving Lifelong Care for Epilepsy Rapid Stroke Detection and Intervention Monitor Medical Supply Chain to Reduce Waste Reduce Patient Re-Admittance Rates Video Analysis for Surgical Decision Support Healthcare Analytics as a Service Oil & Gas Unify Exploration & Production Data Monitor Rig Safety in Real-Time Geographic exploration DCA to Slow Well Declines Curves Proactive Maintenance for Oil Field Equipment Define Operational Set Points for Wells Government Single View of Entity CBM & Autonomic Logistic Analysis Sentiment Analysis on Program Effectiveness Prevent Fraud, Waste and Abuse Proactive Maintenance for Public Infrastructure Meet Deadlines for Government Reporting Hadoop Driver: Advanced analytic applications
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© Hortonworks Inc. 2014 Hortonworks Data Platform Hortonworks Data Platform 2.3 Hortonworks Data Platform provides Hadoop for the Enterprise: a centralized architecture of core enterprise services, for any application and any data. Open & Enterprise • HDP incorporates every element required of an enterprise data platform: data storage, data access, governance, security, operations • All components are developed in open source and then rigorously tested, certified, and delivered as an integrated open source platform that’s easy to consume and use by the enterprise and ecosystem. YARN: Data Operating System (Cluster Resource Management) 1 ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° Apache Pig ° ° ° ° ° ° ° ° ° ° HDFS (Hadoop Distributed File System) INTEGRATION GOVERNANCE BATCH, INTERACTIVE & REAL-TIME DATA ACCESS Apache Falcon Apache Hive Apache Slider Apache HBase Apache Accumulo Apache Solr Apache Spark Apache Storm Apache Sqoop Apache Flume Apache Kafka SECURITY Apache Ranger Apache Knox Apache Falcon OPERATIONS Apache Ambari Apache Zookeeper Apache Oozie Apache Atlas Apache Atlas Cloudbreak
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© Hortonworks Inc. 2014 HDP: Any Data, Any Application, Anywhere Any Application • Deep integration with ecosystem partners to extend existing investments and skills • Broadest set of applications through the stable of YARN-Ready applications Any Data Deploy applications fueled by clickstream, sensor, social, mobile, geo-location, server log, and other new paradigm datasets with existing legacy datasets. Anywhere Implement HDP naturally across the complete range of deployment options Clickstream Web & Social Geolocation Internet of Things Server Logs Files, emailsERP CRM SCM hybrid commodity appliance cloud Over 70 Hortonworks Certified YARN Apps
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The Data Lake Use
Cases © Hortonworks Inc. 2011 – 2015. All Rights Reserved
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© Hortonworks Inc. 2014 What is a Data Lake? §It is a PLATFORM for your data. (NOT a database) §Multipurpose open PLATFORM to land all data in a single place and interact with it many ways (Stream, Batch, Interactive Query). §A platform that allows for the ecosystem to provide higher level services (SAP, SAS, Microsoft, Teradata, etc..) §Provides first class APIs and frameworks to enable integration §Provides first class data management capabilities (metadata management, security, governance, transformation pipelines, replication, retention, etc..) Page 14
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Spotify Use Case Full
presentation available at: http://www.slideshare.net/JoshBaer/how-apache-drives-music- recommendations-at-spotify?related=1
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© Hortonworks Inc. 2014Page 16 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Data Discovery and Predictive Analytics Elefante Wine Inc. Use Case & Demo Mats Johansson Solutions Engineer EMEA Hortonworks Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Elefante Wine Current Challenges The Company Elefante Wine is a boutique wine fulfillment company with a large fleet of trucks. It delivers wine in a highly-regulated industry with stringent transportation requirements. The Situation Recently a number of driver violations led to fines and increased insurance rates The Challenges • Rising Operational Costs • Driver Safety • Risk Management • Logistics Optimization Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Elefante Wine Risk and Driver Safety Challenges Trucks outfitted with new sensors generating large volumes of new data: • Location • Speed • Driver Violations Need to be integrate real-time & historical data Increase safety and reduce liabilities Anticipate driver violations BEFORE they happen and take precautionary actions Find predictive correlations in driver behavior over large volumes of real-time data Difficult to deliver timely insights to the right people and systems to take action Data Discovery Uncover new findings Predictive Analytics Identify your next best action Better Understanding of the Past Better Prediction of the Future Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Elefante Wine’s YARN-enabled Architecture Distributed Storage: HDFS Many Workloads: YARN Stream Processing (Storm) Inbound Messaging (Kafka) Real-‐time Serving (HBase) Alerts & Events (ActiveMQ) Real-‐Time Web App SQL Interactive Query (Hive on Tez) Truck Sensors One cluster with consistent security, governance & operations Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Explore Enriched Events to Build a Predictive Model Apache Zeppelin Notebook environment that supports Spark Agile data visualizations Zeppelin Supports Spark Jobs on YARN Data Scientists Explore and visualize events in Zeppelin Build a machine-learning model in Spark, to predict driver violations Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Streaming Demo Data Discovery Through Streaming Sensor Data from Trucks
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© Hortonworks Inc. 2014 Enriching Truck Events for Analysis with Pig HDFS Raw Truck EventsWeather Data Sets Raw Weather Data HCatalog (Metadata) Payroll Data HR & Payroll DBs Load Raw Truck Events Clean & Filter Cleaned Events Transformed Events Transform Join with HR & weather data Enriched Events Enriched Events Store Zeppelin Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Apache Zeppelin Visualization Demo Exploring and Model Building on enriched sensor data
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© Hortonworks Inc. 2014 Recommendations from the CDO Investment recommendations, in order of priority 1. Visibility sensors and auto braking systems to deal with foggy conditions 2. Slip-resistant tires for improved safety during rainy conditions 3. Driver certification to minimize violations Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Apps on YARN Trucking company datasets stored in HDFS Real-time and Predictive Application Architecture Your BI Tool Predictive application Truck sensors App alerts (ActiveMQ) Messages SQL Stream NoSQLML Use Model Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Large Scale Machine-‐Learning Insights for Elefante Wine Improve Predictive Power Algorithms on Terabytes of data Improve confidence by testing hypotheses over huge datasets Accelerate Time to Market Rapidly test out machine-learning algorithms Integrate Predictive Models into Apps Run models in Storm or your other apps Run it All in a Multi-Tenant Cluster Large scale machine learning on YARN respects other tenants in an HDP cluster Tweet: #hadooproadshow
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© Hortonworks Inc. 2014Page 27 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Tweet: #hadooproadshow Try It Yourself, Download the Sandbox: hortonworks.com/sandbox Tweet: #hadooproadshow
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© Hortonworks Inc. 2014 Thank you! Mats Johansson mjohansson@hortonworks.com @matsjo66 https://se.linkedin.com/in/matsjo66
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