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AWS Summit Berlin 2013 - Keynote - Schnee von Morgen
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Schnee von Morgen Kundenbeispiel aus der Keynote Nikolai Longolius, CEO
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Suetables guarantees to deliver you the outstanding services and best prices in the whole industry. Contact us today for the latest and trendy designs of silver Jewellery. Visit us at http://www.suetables.com/
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Listen to this session to get some insights from two recent implementations of cloud-based Big Data clusters. The purpose of the first solution is DWH Offloading and Machine Learning in the telecommunications industry. The session will cover how we established the data transfer between on-premises server and cloud services. In addition, we will talk about Spark jobs on EMR-cluster, Hive with GlueCatalog to query data stored in S3, quick analytics with Athena, hosting and testing Exasol on EC2-Instances and the provisioning of the cloud infrastructure with CloudFormation. Looking at an earlier phase in the AWS adoption lifecycle, we will also talk about an insurance company finding their way into the AWS cloud. Their goal is to complement their existing enterprise DWH with more agile and data science oriented tools from the cloud, aiming at machine learning and artifical intelligence to complement their claims workflow. In this part we will cover topics like security setup in IAM, connectivity configuration in EC2 and EMR, all complemented with S3 for their storage needs. Speakers: Roland Wammers, Matthias Diekstall, Manuel Marowski, Opitz Consulting Deutschland GmbH
Analytics Web Day | From Theory to Practice: Big Data Stories from the Field
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The previous presentation showed how events can be ingested and analyzed continuously in real time. One of Big Data's principles is to store raw data as long as possible - to be able to answer future questions. If the data is permanently stored in Amazon Simple Storage Service (S3), it can be queried at any time with Amazon Athena without spinning up a database. This session shows step by step how the data should be structured so that both costs and response times are reduced when using Athena. The details and effects of compression, partitions, and column storage formats are compared. Finally, AWS Glue is used as a fully managed service for Extract Transform Load (ETL) to derive optimized views from the raw data for frequently issued queries. Speaker: Steffen Grunwald, Senior Solutions Architect, AWS
Analytics Web Day | Query your Data in S3 with SQL and optimize for Cost and ...
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"Build and run applications without thinking about servers". You want it? You get it! We will start this session with a motivation why serverless applications are a thing. Once we got there, we will actually start building one, of course with making use of a serverless CI/CD pipeline. After we will have looked into how we can still test it locally, we shall also dive into analyzing and debugging our app - of course in a serverless manner. Speaker: Dirk Fröhner, Senior Solutions Architect, AWS
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Suetables guarantees to deliver you the outstanding services and best prices in the whole industry. Contact us today for the latest and trendy designs of silver Jewellery. Visit us at http://www.suetables.com/
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Currents in gases All rights reserved. Please do NOT use it without any credit. Download for more details. Enjoy!
Dong dien trong chat khi
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Mai Phạm
Independent and concise superannuation industry news from QMV
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Magfa
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Listen to this session to get some insights from two recent implementations of cloud-based Big Data clusters. The purpose of the first solution is DWH Offloading and Machine Learning in the telecommunications industry. The session will cover how we established the data transfer between on-premises server and cloud services. In addition, we will talk about Spark jobs on EMR-cluster, Hive with GlueCatalog to query data stored in S3, quick analytics with Athena, hosting and testing Exasol on EC2-Instances and the provisioning of the cloud infrastructure with CloudFormation. Looking at an earlier phase in the AWS adoption lifecycle, we will also talk about an insurance company finding their way into the AWS cloud. Their goal is to complement their existing enterprise DWH with more agile and data science oriented tools from the cloud, aiming at machine learning and artifical intelligence to complement their claims workflow. In this part we will cover topics like security setup in IAM, connectivity configuration in EC2 and EMR, all complemented with S3 for their storage needs. Speakers: Roland Wammers, Matthias Diekstall, Manuel Marowski, Opitz Consulting Deutschland GmbH
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The previous presentation showed how events can be ingested and analyzed continuously in real time. One of Big Data's principles is to store raw data as long as possible - to be able to answer future questions. If the data is permanently stored in Amazon Simple Storage Service (S3), it can be queried at any time with Amazon Athena without spinning up a database. This session shows step by step how the data should be structured so that both costs and response times are reduced when using Athena. The details and effects of compression, partitions, and column storage formats are compared. Finally, AWS Glue is used as a fully managed service for Extract Transform Load (ETL) to derive optimized views from the raw data for frequently issued queries. Speaker: Steffen Grunwald, Senior Solutions Architect, AWS
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"Build and run applications without thinking about servers". You want it? You get it! We will start this session with a motivation why serverless applications are a thing. Once we got there, we will actually start building one, of course with making use of a serverless CI/CD pipeline. After we will have looked into how we can still test it locally, we shall also dive into analyzing and debugging our app - of course in a serverless manner. Speaker: Dirk Fröhner, Senior Solutions Architect, AWS
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The most common way to start developing for Alexa is with custom skills while not too many of us except for device manufacturers get in touch with Smart Home skills on Alexa. This session introduces and demonstrates the power of Smart Home skills and it takes a look behind the technical scene of what happens in between an “Alexa, turn on the lights” and Alexa´s final “Ok” confirmation. Once you are familiar with the concept of Smart Home skills you will find out that it’s not just for implementing large-scale Smart Home solutions as the Smart Home API is also a great playground for your next Do it Yourself project. At the end of this session you’ve learned about the probably simplest way to build a Smart Home project with Raspberry Pi and AWS IoT – and you will be equipped with essential knowledge on how to build your own voice-controlled “thing”.
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Automating the boring task of submitting travel expenses we developed ML model for classifying recipes. Using AWS EC2, Lambda, S3, SageMaker, Rekognition we evaluated different ways of training model and serving predictions as well as different model approaches (classical ML vs. Deep Learning).
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Nearly everything in IT - servers, applications, websites, connected devices, and other things - generate discrete, time-stamped records of events called logs. Processing and analyzing these logs to gain actionable insights is log analytics. We'll look at how to use centralized log analytics across multiple sources with Amazon Elasticsearch Service.
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Querying streaming data with SQL to derive actionable insights at the point of impact in a timely and continuous fashion offers various benefits over querying data in a traditional database. However, although it is desirable for many use cases to transition to a stream based paradigm, stream processing systems and traditional databases are fundamentally different: in a database, the data is (more or less) fixed and the queries are executed in an ad-hoc manner, whereas in stream processing systems, the queries are fixed and the data flows through the system in real-time. This leads to different primitives that are required to model and query streaming data. In this session, we will introduce basic stream processing concepts and discuss strategies that are commonly used to address the challenges that arise from querying of streaming data. We will discuss different time semantics, processing guarantees and elaborate how to deal with reordering and late arriving of events. Finally, we will compare how different streaming use cases can be implemented on AWS by leveraging Amazon Kinesis Data Analytics and Apache Flink.
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Zehntausende gemeinnützige und nichtstaatliche Organisationen weltweit verwenden AWS, damit sie sich auf ihre eigentliche Mission konzentrieren können, statt ihre IT-Infrastruktur zu verwalten. Die Anwendungsgebiete von Nonprofits und NGOs sind dabei genauso vielfältig, wie bei Enterprise oder Start-up oder anderen AWS-Anwendern im öffentlichen Sektor. Gemeinnützige Organisationen und NGOs nutzen AWS z.B. um hochverfügbare und hochskalierbare Websites zu erstellen, um ihre Spendenaktionen und Öffentlichkeitsarbeit effizient zu verwalten, oder um Nutzen aus Big Data Anwendungen zu ziehen. In dieser Sitzung werden wir einen Blick auf die verschiedenen AWS-Programme werfen, die gemeinnützigen Organisationen den Einstige in AWS und die Umsetzung ihrer IT-Projekte erleichtern. Insbesondere informieren wir auch über das Angebote mit Stifter-Helfen.de - dem deutschen TechSoup-Partner. Dieses Angebot stellt den begünstigten Organisationen pro Jahr $2.000 in AWS Credit Codes zu Verfügung. Die Session richtet sich an alle, die sich für einen guten Zweck engagieren wollen und dabei nicht auf innovative Cloud-Services zur Umsetzung ihrer IT-Projekte verzichten wollen. Für die Teilnahme and der Session sind keine technischen Vorkenntnisse notwendig
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With serverless things are getting really different. Commodity building blocks from our cloud providers, functional billing, serverless marketplaces etc. are going to hit the usual “Not invented here”3 syndrome in organizations. Many beloved things have to be un- or re-learned by software developers. How can we prepare our organizations and people for unlearning old patterns and behaviours? Let’s have a look from a knowledge management perspective. Objective of the talk: Intro into systemic knowledge management
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With more and more application workloads moving to Kubernetes, the interest in managed Kubernetes services in enterprises is increasing. While Amazon EKS will make operations easier, an efficient and transparent delivery pipeline becomes more important than ever. This will provide an increased application development velocity that will directly convert into a competitive advantage with fast paced digital services. While established tools such as Jenkins can be used quite efficiently for CI tasks, modern cloud-native tools like Spinnaker are gaining attention by focusing more in the continuous delivery process. We will show you how Spinnaker and its new Kubernetes v2 provider can be utilized together with Amazon EKS to streamline your application deployments. Speaker: Jukka Forsgren, nordcloud
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Modern Applications Web Day | Continuous Delivery to Amazon EKS with Spinnaker
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The most common way to start developing for Alexa is with custom skills while not too many of us except for device manufacturers get in touch with Smart Home skills on Alexa. This session introduces and demonstrates the power of Smart Home skills and it takes a look behind the technical scene of what happens in between an “Alexa, turn on the lights” and Alexa´s final “Ok” confirmation. Once you are familiar with the concept of Smart Home skills you will find out that it’s not just for implementing large-scale Smart Home solutions as the Smart Home API is also a great playground for your next Do it Yourself project. At the end of this session you’ve learned about the probably simplest way to build a Smart Home project with Raspberry Pi and AWS IoT – and you will be equipped with essential knowledge on how to build your own voice-controlled “thing”.
Building Smart Home skills for Alexa
Building Smart Home skills for Alexa
AWS Germany
Automating the boring task of submitting travel expenses we developed ML model for classifying recipes. Using AWS EC2, Lambda, S3, SageMaker, Rekognition we evaluated different ways of training model and serving predictions as well as different model approaches (classical ML vs. Deep Learning).
Hotel or Taxi? "Sorting hat" for travel expenses with AWS ML infrastructure
Hotel or Taxi? "Sorting hat" for travel expenses with AWS ML infrastructure
AWS Germany
This is a hands-on workshop where every participant will not only learn how to architect and implement a serverless application on Amazon Web Services using nothing but serverless resources for all layers in theory, but actually do it in practice, with all the necessary support from the speakers. Serverless computing allows you to build and run applications and services without thinking about servers. Serverless applications don't require you to provision, scale, and manage any servers. You can build them for nearly any type of application or backend service, and everything required to run and scale your application with high availability is handled for you. Building serverless applications means that developers can focus on their core product instead of worrying about managing and operating servers or runtimes. This reduced overhead lets developers reclaim time and energy that can be spent on developing great products which scale and that are reliable.
Wild Rydes with Big Data/Kinesis focus: AWS Serverless Workshop
Wild Rydes with Big Data/Kinesis focus: AWS Serverless Workshop
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Nearly everything in IT - servers, applications, websites, connected devices, and other things - generate discrete, time-stamped records of events called logs. Processing and analyzing these logs to gain actionable insights is log analytics. We'll look at how to use centralized log analytics across multiple sources with Amazon Elasticsearch Service.
Log Analytics with AWS
Log Analytics with AWS
AWS Germany
Querying streaming data with SQL to derive actionable insights at the point of impact in a timely and continuous fashion offers various benefits over querying data in a traditional database. However, although it is desirable for many use cases to transition to a stream based paradigm, stream processing systems and traditional databases are fundamentally different: in a database, the data is (more or less) fixed and the queries are executed in an ad-hoc manner, whereas in stream processing systems, the queries are fixed and the data flows through the system in real-time. This leads to different primitives that are required to model and query streaming data. In this session, we will introduce basic stream processing concepts and discuss strategies that are commonly used to address the challenges that arise from querying of streaming data. We will discuss different time semantics, processing guarantees and elaborate how to deal with reordering and late arriving of events. Finally, we will compare how different streaming use cases can be implemented on AWS by leveraging Amazon Kinesis Data Analytics and Apache Flink.
Deep Dive into Concepts and Tools for Analyzing Streaming Data on AWS
Deep Dive into Concepts and Tools for Analyzing Streaming Data on AWS
AWS Germany
Zehntausende gemeinnützige und nichtstaatliche Organisationen weltweit verwenden AWS, damit sie sich auf ihre eigentliche Mission konzentrieren können, statt ihre IT-Infrastruktur zu verwalten. Die Anwendungsgebiete von Nonprofits und NGOs sind dabei genauso vielfältig, wie bei Enterprise oder Start-up oder anderen AWS-Anwendern im öffentlichen Sektor. Gemeinnützige Organisationen und NGOs nutzen AWS z.B. um hochverfügbare und hochskalierbare Websites zu erstellen, um ihre Spendenaktionen und Öffentlichkeitsarbeit effizient zu verwalten, oder um Nutzen aus Big Data Anwendungen zu ziehen. In dieser Sitzung werden wir einen Blick auf die verschiedenen AWS-Programme werfen, die gemeinnützigen Organisationen den Einstige in AWS und die Umsetzung ihrer IT-Projekte erleichtern. Insbesondere informieren wir auch über das Angebote mit Stifter-Helfen.de - dem deutschen TechSoup-Partner. Dieses Angebot stellt den begünstigten Organisationen pro Jahr $2.000 in AWS Credit Codes zu Verfügung. Die Session richtet sich an alle, die sich für einen guten Zweck engagieren wollen und dabei nicht auf innovative Cloud-Services zur Umsetzung ihrer IT-Projekte verzichten wollen. Für die Teilnahme and der Session sind keine technischen Vorkenntnisse notwendig
AWS Programme für Nonprofits
AWS Programme für Nonprofits
AWS Germany
Lecture about AWS Microservices and Data Design
Microservices and Data Design
Microservices and Data Design
AWS Germany
With serverless things are getting really different. Commodity building blocks from our cloud providers, functional billing, serverless marketplaces etc. are going to hit the usual “Not invented here”3 syndrome in organizations. Many beloved things have to be un- or re-learned by software developers. How can we prepare our organizations and people for unlearning old patterns and behaviours? Let’s have a look from a knowledge management perspective. Objective of the talk: Intro into systemic knowledge management
Serverless vs. Developers – the real crash
Serverless vs. Developers – the real crash
AWS Germany
Streaming services allow you to ingest and analyze events continuously in real time. One of Big Data's principles is to store raw data as long as possible - to be able to answer future questions. If the data is permanently stored in Amazon Simple Storage Service (S3), it can be queried at any time with Amazon Athena without spinning up a database. This session shows step by step how the data should be structured so that both costs and response times are reduced when using Athena. The details and effects of compression, partitions, and column storage formats are compared. Finally, AWS Glue is used as a fully managed service for Extract Transform Load (ETL) to derive optimized views from the raw data for frequently issued queries.
Query your data in S3 with SQL and optimize for cost and performance
Query your data in S3 with SQL and optimize for cost and performance
AWS Germany
When running a Kubernetes Cluster in AWS there are secrets like AWS and Kubernetes credentials, access information for databases or integration with the company LDAP that need to be stored and managed. HashiCorp’s Vault secures, stores, and controls access to tokens, passwords, certificates, API keys, and other secrets . It handles leasing, key revocation, key rolling, and auditing. This talk will give an overview of secret management in general and Vault’s concepts. The talk will explain how to make use of Vault’s extensive feature set and show patterns that implement integration between Kubernetes applications and Vault.
Secret Management with Hashicorp’s Vault
Secret Management with Hashicorp’s Vault
AWS Germany
Running more than one containerized application in production makes teams look for solutions to quickly deploy and orchestrate containers. One of the most popular options is the open-source project Kubernetes. With the release of the Amazon Elastic Container Service for Kubernetes (EKS), engineering teams now have access to a fully managed Kubernetes control plane and time to focus on building applications. This workshop will deliver hands-on labs to support you getting familiar with Amazon's EKS.
EKS Workshop
EKS Workshop
AWS Germany
Our challenge is to provide a container cluster as part of the Cloud Platform at Scout24. Our goal is to support all the different applications with varying requirements the Scout24 dev teams can throw at us. Up until now, we have run all of them on the same ECS cluster with the same parameters. As we get further into our AWS migration, we have learned this does not scale. We combat this by introducing categories in one cluster with different configurations for the service. We will introduce how we tune each category differently, with different resource limits, different scaling approaches and more…
Scale to Infinity with ECS
Scale to Infinity with ECS
AWS Germany
Containers gained strong traction since day one for both enterprises and startups. Today AWS customers are launching hundreds of millions of new containers – each week. Join us as we cover the state of containerized application development and deployment trends. This session will dive deep on new container capabilities that help customers deploying and running container-based workloads for web services and batches.
Containers on AWS - State of the Union
Containers on AWS - State of the Union
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Are you looking to move to the cloud, but aren’t sure quite where to start? Are you already using AWS, and are looking for ways to simplify some of your workflows? If you answered “yes” (or even “maybe”) to either one of those questions, this session / hands-on workshop is for you. We’re going to take you through using Amazon Lightsail, an AWS service that provides the quickest way to get started in the cloud, to deploy and scale an application on AWS.
Deploying and Scaling Your First Cloud Application with Amazon Lightsail
Deploying and Scaling Your First Cloud Application with Amazon Lightsail
AWS Germany
Scout24 is a leading operator of digital marketplaces specializing in the real estate and automotive sectors in Germany and other selected European countries. We provide the best experience to our users on our two well-known and popular brands, ImmobilienScout24 and AutoScout24 by offering highly personalized services. This talk is about how we leverage AWS infrastructure to rapidly experiment with state of the art ML algorithms which enables us to move quickly from idea through prototype to product. We illustrate this with a concrete use case: our Smart Consumer Notification engine.
Building Personalized Data Products - From Idea to Product
Building Personalized Data Products - From Idea to Product
AWS Germany
AWS Amplify has released a brand new CLI Toolchain that makes it easy to create & configure AWS cloud services on the fly directly from your local environment. This CLI complements the AWS Amplify Library to provide an end to end solution for the creation, configuration, & implementation of scalable cloud-enabled applications with a Rails-like experience focusing on developer efficiency. AWS Amplify supports not only JavaScript applications & frameworks like Angular, React, & React Native, but also native iOS & native Android.
Introduction to AWS Amplify and the Amplify CLI Toolchain
Introduction to AWS Amplify and the Amplify CLI Toolchain
AWS Germany
Cost efficiency is an important aspect for companies of all sizes and levels of maturity, where it can become a competitive advantage. Especially on large organizations composed of hundreds of teams, it is hard to enforce initiatives that require buy-in and significant implementation effort from the various teams that often have other priorities. In this session you will see how you can implement a cost savings initiative that provides multiple easy to use options for running at the lowest possible cost, that can be leveraged at scale with the least amount of buy-in and configuration effort from the teams. The session will explore topics such as resource tagging, centralized reserved instance purchases, automated instance terminations outside office hours and automated use of the spot market with minimal configuration changes to existing environments.
Savings on scale - Spot Instances with Autospotter
Savings on scale - Spot Instances with Autospotter
AWS Germany
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