AWS re:Invent 2018

Latest Episodes:

AMT301: Alexa, Where's My Car? Test Drive of AWS Connected Vehicle Solution Dec 01, 2018

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The transformation of the auto industry from manufacturers to mobility providers is centered on seamlessly and safely connecting vehicles to the outside world. In this session, we discuss how customers are using AWS for a variety of connected vehicle use cases. Leave this session with source code, architecture diagrams, and an understanding of how to use the AWS connected vehicle reference architecture to build your own prototypes. Also learn how companies leverage Amazon services such as Alexa, AWS IoT, AWS Greengrass, AWS Lambda, and Amazon Kinesis Data Analytics to rapidly develop and deploy innovative mobility services. Learn how to use new enhancements in your architectures, including the IoT Device Simulator, a scalable, simulated vehicle, load generation tool, as well as the AWS IoT Framework for Automotive Grade Linux (AGL), an integrated build tool for AGL that includes the AWS IoT Device SDK and AWS Greengrass.

AMT302: Easy Rider: How ML, Serverless, and IoT Drive Mobility as a Service Dec 01, 2018

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Vehicle mobility is evolving, from traditional rental and fleet services, to car sharing, ride hailing, and future driverless services. Mobility providers need an agile, scalable, digital platform to manage all aspects of their fleet and its usage. In this session, Avis Budget Group (ABG) and Slalom walk through their serverless mobility platform using the AWS connected vehicle reference architecture, Amazon SageMaker, Amazon Kinesis Data Analytics, and AWS Lambda. Learn the practical application of using AWS IoT to connect vehicles and Amazon SageMaker to apply machine learning to uncover insights for use cases, including vehicle inventory, shuttling efficiency, driver behavior, and vehicle trajectory analysis to identify fraudulent vehicle usage. We dive deep into the overall solution and services mentioned above, as well as the operations dashboard ABG created with Uber's open source framework, deck.gl.

ANT201: Big Data Analytics Architectural Patterns & Best Practices Dec 01, 2018

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In this session, we discuss architectural principles that helps simplify big data analytics. We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost. Complete Title: AWS re:Invent 2018: [REPEAT 1] Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)

ANT202: Modern Cloud Data Warehousing Dec 01, 2018

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Most companies are overrun with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we discuss the most common use cases with Amazon Redshift, and we take an in-depth look at how modern data warehousing blends and analyzes all your data to give you deeper insights to run your business. Intuit joins us to share their experience modernizing their analytics pipeline. Complete Title: AWS re:Invent 2018: [REPEAT 1] Modern Cloud Data Warehousing ft. Intuit: Optimize Analytics Practices (ANT202-R1)

ANT204: Build Data Engineering Platforms with Amazon EMR Dec 01, 2018

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Amazon EMR provides a flexible range of service customization options, enabling customers to use it as a building block for their data platforms. In this session, AWS customers Salesforce.com and Vanguard discuss in detail how they use Amazon EMR to build a self-service, secure, and auditable data engineering platform. Customers who want to optimize their design and configurations should attend this session to learn best practices from customer experts. Topics include achieving cost-efficient scale, using notebooks, processing streaming data, rapid prototyping of applications and data pipelines, architecting for both transient and persistent clusters, setting up advanced security and authorization controls, and enabling easy self service for users.

ANT205: Technology Trends: Data Lakes and Analytics Dec 01, 2018

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In this talk, Anurag Gupta, VP for AWS Analytic and Transactional Database Services, talks about some of the key trends we see in data lakes and analytics, and he describes how they shape the services we offer at AWS. Specific trends include the rise of machine generated data and semi-structured/unstructured data as dominant sources of new data, the move towards serverless, SPI-centric computing, and the growing need for local access to data from users around the world.

ANT206: How Amazon Uses AWS Services for Analytics at a Massive Scale Dec 01, 2018

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As Amazon's consumer business continues to grow, so does the volume of data and the number and complexity of the analytics done in support of the business. In this session, we talk about how Amazon.com uses AWS technologies to build a scalable environment for data and analytics. We look at how Amazon is evolving the world of data warehousing with a combination of a data lake and parallel, scalable compute engines, such as Amazon EMR and Amazon Redshift. Complete Title: AWS re:Invent 2018: Under the Hood: How Amazon Uses AWS Services for Analytics at a Massive Scale (ANT206)

ANT209: Security Challenges & Use Cases in the Modern Application Dec 01, 2018

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Modern application build-and-deploy workflows are creating new challenges for traditional security models. Traditional workflows need to be recast in new datasets, and new workflows need to be added to cover the expanding threat surface area. In this session, we explore the security challenges created by modern application build-and-deploy pipelines. We also discuss basic considerations for security defense, example use cases, and a customer case study to illustrate the concepts. This session is brought to you by AWS partner, Sumo Logic. Complete Title: AWS re:Invent 2018: Security Challenges & Use Cases in the Modern Application Build-and-Deploy Pipeline (ANT209-S)

ANT210: WuXi NextCODE Scales up Genomic Sequencing on AWS Dec 01, 2018

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Genomic sequencing is growing at a rate of 100 million sequences a year, translating into 40 exabytes by the year 2025. Handling this level of growth and performing big data analytics is a massive challenge in scalability, flexibility, and speed. In this session, learn from pioneering genomic sequencing company WuXi NextCODE, which handles complex and performance-heavy database and genomic sequencing workloads, about moving from on premises to all-in on the public cloud. Discover how WuXi NextCODE was able to achieve the performance that its workloads demand and surpass the limits of what it was able to achieve previously in genomic sequencing. This session is brought to you by AWS partner, NetApp, Inc.

ANT308: Building Serverless Analytics Pipelines with AWS Glue Dec 01, 2018

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Organizations need to gain insight and knowledge from a growing number of IoT, APIs, clickstreams, and unstructured and log data sources. However, organizations are also often limited by legacy data warehouses and ETL processes that were designed for transactional data. In this session, we introduce key ETL features of AWS Glue, we cover common use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL pipelines for your data lake. We also discuss how to build scalable, efficient, and serverless ETL pipelines using AWS Glue. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.

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