AWS re:Invent 2017

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ABD210: Modernizing Amtrak: Serverless Solution for Real-Time Data Capabilities Dec 01, 2017

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As the nation's only high-speed intercity passenger rail provider, Amtrak needs to know critical information to run their business such as: Who's onboard any train at any time? How are booking and revenue trending? Amtrak was faced with unpredictable and often slow response times from existing databases, ranging from seconds to hours; existing booking and revenue dashboards were spreadsheet-based and manual; multiple copies of data were stored in different repositories, lacking integration and consistency; and operations and maintenance (O&M) costs were relatively high. Join us as we demonstrate how Deloitte and Amtrak successfully went live with a cloud-native operational database and analytical datamart for near-real-time reporting in under six months. We highlight the specific challenges and the modernization of architecture on an AWS native Platform as a Service (PaaS) solution. The solution includes cloud-native components such as AWS Lambda for microservices, Amazon Kinesis and AWS Data Pipeline for moving data, Amazon S3 for storage, Amazon DynamoDB for a managed NoSQL database service, and Amazon Redshift for near-real time reports and dashboards. Deloitte's solution enabled “at scale” processing of 1 million transactions/day and up to 2K transactions/minute. It provided flexibility and scalability, largely eliminate the need for system management, and dramatically reduce operating costs. Moreover, it laid the groundwork for decommissioning legacy systems, anticipated to save at least $1M over 3 years. Session sponsored by Deloitte

ABD211: Sysco Foods: A Journey from Too Much Data to Curated Insights Dec 01, 2017

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In this session, we detail Sysco's journey from a company focused on hindsight-based reporting to one focused on insights and foresight. For this shift, Sysco moved from multiple data warehouses to an AWS ecosystem, including Amazon Redshift, Amazon EMR, AWS Data Pipeline, and more. As the team at Sysco worked with Tableau, they gained agile insight across their business. Learn how Sysco decided to use AWS, how they scaled, and how they became more strategic with the AWS ecosystem and Tableau. Session sponsored by Tableau

ABD212: SAP HANA: The Foundation of SAP's Digital Core Dec 01, 2017

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Learn how customers are leveraging AWS to better position their enterprises for the digital transformation journey. In this session, you hear about: operations and process; the SAP transformation journey including architecting, migrating, running SAP on AWS; complete automation and management of the AWS layer using AWS native services; and a customer example. We also discuss the challenges of migration to the cloud and a managed services environment; the benefits to the customer of the new operating model; and lessons learned. By the end of the session, you understand why you should consider AWS for your next SAP platform, how to get there when you are ready and some best practices to manage your SAP systems on AWS. session sponsored by DXC Technology

ABD214: Real-time User Insights for Mobile and Web Applications with Amazon Pinpoint Dec 01, 2017

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With customers demanding relevant and real-time experiences across a range of devices, digital businesses are looking to gather user data at scale, understand this data, and respond to customer needs instantly. This requires tools that can record large volumes of user data in a structured fashion, and then instantly make this data available to generate insights. In this session, we demonstrate how you can use Amazon Pinpoint to capture user data in a structured yet flexible manner. Further, we demonstrate how this data can be set up for instant consumption using services like Amazon Kinesis Firehose and Amazon Redshift. We walk through example data based on real world scenarios, to illustrate how Amazon Pinpoint lets you easily organize millions of events, record them in real-time, and store them for further analysis.

ABD216: NEW LAUNCH! Introducing Amazon Kinesis Video Streams Dec 01, 2017

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Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), and other processing. In this session, we introduce Kinesis Video Streams and its key features, and review common use cases including smart home, smart city, industrial automation, and computer vision. We also discuss how you can use the Kinesis Video Streams parser library to work with the output of video streams to power popular deep learning frameworks. Lastly, Abeja, a leading Japanese artificial intelligence (AI) solutions provider, talks about how they built a deep-learning system for the retail industry using Kinesis Video Streams to deliver better shopping experience.

ABD217: From Batch to Streaming: How Amazon Flex Uses Real-time Analytics to Deliver Packages on Time Dec 01, 2017

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Reducing the time to get actionable insights from data is important to all businesses, and customers who employ batch data analytics tools are exploring the benefits of streaming analytics. Learn best practices to extend your architecture from data warehouses and databases to real-time solutions. Learn how to use Amazon Kinesis to get real-time data insights and integrate them with Amazon Aurora, Amazon RDS, Amazon Redshift, and Amazon S3. The Amazon Flex team describes how they used streaming analytics in their Amazon Flex mobile app, used by Amazon delivery drivers to deliver millions of packages each month on time. They discuss the architecture that enabled the move from a batch processing system to a real-time system, overcoming the challenges of migrating existing batch data to streaming data, and how to benefit from real-time analytics.

ABD218: How EuroLeague Basketball Uses IoT Analytics to Engage Fans Dec 01, 2017

Show notes

IoT and big data have made their way out of industrial applications, general automation, and consumer goods, and are now a valuable tool for improving consumer engagement across a number of industries, including media, entertainment, and sports. The low cost and ease of implementation of AWS analytics services and AWS IoT have allowed AGT, a leader in IoT, to develop their IoTA analytics platform. Using IoTA, AGT brought a tailored solution to EuroLeague Basketball for real-time content production and fan engagement during the 2017-18 season. In this session, we take a deep dive into how this solution is architected for secure, scalable, and highly performant data collection from athletes, coaches, and fans. We also talk about how the data is transformed into insights and integrated into a content generation pipeline. Lastly, we demonstrate how this solution can be easily adapted for other industries and applications.

ABD222: How to Confidently Unleash Data to Meet the Needs of Your Entire Organization Dec 01, 2017

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Where are you on the spectrum of IT leaders? Are you confident that you're providing the technology and solutions that consistently meet or exceed the needs of your internal customers? Do your peers at the executive table see you as an innovative technology leader? Innovative IT leaders understand the value of getting data and analytics directly into the hands of decision makers, and into their own. In this session, Daren Thayne, Domo's Chief Technology Officer, shares how innovative IT leaders are helping drive a culture change at their organizations. See how transformative it can be to have real-time access to all of the data that' is relevant to YOUR job (including a complete view of your entire AWS environment), as well as understand how it can help you lead the way in applying that same pattern throughout your entire company. Session sponsored by Domo

ABD223: IT Innovators: New Technology for Leveraging Data to Enable Agility, Innovation, and Business Optimization Dec 01, 2017

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Companies of all sizes are looking for technology to efficiently leverage data and their existing IT investments to stay competitive and understand where to find new growth. Regardless of where companies are in their data-driven journey, they face greater demands for information by customers, prospects, partners, vendors and employees. All stakeholders inside and outside the organization want information on-demand or in “real time”, available anywhere on any device. They want to use it to optimize business outcomes without having to rely on complex software tools or human gatekeepers to relevant information. Learn how IT innovators at companies such as MasterCard, Jefferson Health, and TELUS are using Domo's Business Cloud to help their organizations more effectively leverage data at scale. Session sponsored by Domo

ABD301: Analyzing Streaming Data in Real Time with Amazon Kinesis Dec 01, 2017

Show notes

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. In this session, we present an end-to-end streaming data solution using Kinesis Streams for data ingestion, Kinesis Analytics for real-time processing, and Kinesis Firehose for persistence. We review in detail how to write SQL queries using streaming data and discuss best practices to optimize and monitor your Kinesis Analytics applications. Lastly, we discuss how to estimate the cost of the entire system.

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AWS re:Invent 2017

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