We are looking forward to meeting you at re:Invent 2018! SlideShare Explore Search You. In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities. Note: If you’re interested in machine learning, check out the AI Summit, and machine learning and AI workshops and sessions.The following breakout Analytics sessions compose this year’s session catalog. Contino help companies move to cloud native-architecture and software development practices in order to accelerate time to market and maximise organisational agility. RE:INVENT 2020 AWS leader highlights from 2020 Andy Jassy Keynote Watch Andy Jassy share his insights and the latest news about AWS customers, products, and services. We leverage API-driven ML services, AWS Glue, Amazon Athena and Amazon QuickSight. We also discuss how changing your design architecture by decoupling compute and storage impacts TCO. This session focuses on key motivations to move to the cloud. DEV305 - AWS DevOps Essentials: An Introductory Workshop on CI/CD Best Practices. The same business data can be safely used for many different analytics and data processing needs. Initially developed entirely on EC2, Lifion is undergoing a cloud native transformation and embracing AWS managed services. AIM202-L – Leadership Session: Machine Learning Amazon has a long history in AI, from personalization and recommendation engines to robotics in fulfillment centers. They walk us through their architecture and the best practices they learned in building and deploying their real-time analytics solution. Intuit joins us to share their experience modernizing their analytics pipeline. DevOps represents a lean, value-driven operating model which describes a set of approaches to software delivery and IT operations at speed and scale - and goes hand-in-hand with the agility, scalability and reliability of public cloud. ANT208 – Serverless Video Ingestion & Analytics with Amazon Kinesis Video Streams Amazon Kinesis Video Streams makes it easy to capture live video, play it back, and store it for real-time and batch-oriented ML-driven analytics. How do you structure your indexes, by single tenant or multi-tenant? We address key points such as continuous compliance, integrating security, and removing people from the data to vastly improve the organization's security posture over traditional operating models. The Amazon transformation to DevOps was born out of the desire to be even more customer obsessed, more agile, and more innovative. You can schedule a meeting with our team onsite here: book a meeting! Additionally, presentations coupled with hands-on labs reinforce the patterns presented in this session. In this chalk talk, we discuss how to migrate your Oracle data warehouse to Amazon Redshift and achieve agility and faster time to insights while reducing costs. Getting insights from this data requires database and analytics services that scale and perform in ways not possible before. Whether you are new to the cloud or an experienced user, you … AWS CDK re:Invent 2018 Session. For sessions at re:Invent that shed some light on developments in the cloud-native space, consider registering for the following: ARC212 - Trends in Digital Transformation. ANT365 – Serverless Stream Processing with AWS Lambda. Node.js; CDK Toolkit: npm i -g aws-cdk Setup. What are the tradeoffs in scale and cost? Elasticsearch provides a rich query API, supporting high throughput, low-latency search across numeric and string data and with a built-in capability of bringing relevant results for your queries. Watch Now. Their strengths are different and complementary. ANT327 – Best Practices to Secure Data Lake on AWS. As usual, AWS announced a slew of new services and updates to it’s existing services at reInvent 2018. AWS re:Invent 2018 session notes . They walk us through their architecture and the best practices they learned in building and deploying their real-time analytics solution. We also talk about how to write your IAM policies to scope your users’ interaction with the service. The keynotes AWS re:Invent 2018 Keynote with Andy Jassy (Wednesday, November 28) Among other topics in his keynote, AWS CEO Andy Jassy discusses … Old Password. ANT402- Securing Your Amazon Elasticsearch Service Domain. This blog post includes links to video recordings of the Amazon DynamoDB-related keynotes, announcements, and sessions from AWS re:Invent 2018. ANT363 – Build a Streaming Application Using Amazon Kinesis Amazon Kinesis Data Analytics enables you to quickly build and easily manage applications that process streaming data in real-time. In this builders session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight. In this session, AWS customers Airbnb and Guardian Life discuss how they migrated their workload to Amazon EMR. He focuses on data analytics and ML technologies, working with AWS customers to build innovative data-driven products. Our customer Autodesk joins us to describe how they created real-time metrics generation and analytics using Amazon Kinesis and Amazon Elasticsearch Service. Amazon Kinesis makes it easy to speed up the time it takes for you to get valuable, real-time insights from your streaming data. But how do you get visibility on how they are interconnected into a larger application service and how well they are working together, or whether they’re working together at all? By the time you leave, you’ll know how to distribute your data and design your DDL to deliver the best data warehouse for your business. 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. A modern application service consists of many microservices working together. In this session, we walk through the most popular applications that customers implement using Amazon Kinesis, including streaming extract-transform-load, continuous metric generation, and responsive analytics. In this session, we demonstrate a prescriptive approach to incrementally adopt and embrace some of the best practices around continuous integration and delivery using AWS developer tools and third-party solutions, including AWS CodeCommit, AWS CodeBuild, Jenkins, AWS CodePipeline, AWS CodeDeploy, AWS X-Ray, and AWS Cloud9. Hear how they went from disaster to delight with Amazon ES. Typically, this involves modernising working practices, introduction of automation so that applications and infrastructure can be managed at speed and high efficiency - maximising security without introducing risk. They then show you how to defend your environment from these threats. In this builders session, we demonstrate building complex workflows using AWS Glue orchestration capabilities. I will be updating the list as more services get announced. In this session, we walk through the most popular applications that customers implement using Amazon Kinesis, including streaming extract-transform-load, continuous metric generation, and responsive analytics. DAT206-L - Leadership Session: AWS Database and Analytics. In this builders session, we detail how to efficiently start, stop, and resize your clusters for Apache Spark and Hadoop, reducing your costs, and accelerating your “time-to-completion” for jobs. Finally, we show you how to use the RESTful API to serve real-time predictions on streaming data from Amazon Kinesis Data Streams. Also, learn how to interactively author ETL scripts in an Amazon SageMaker notebook connected to an AWS Glue development endpoint. OK × USER PROFILE. This demo includes the use of AWS Cloud9, a cloud-based IDE, to build a fully serverless cloud native application in React using the AWS Mobile Hub via the AWS Mobile CLI and AWS Amplify. In this session, we live demo exciting new capabilities the team have been heads down building. C3.ai leaders participated in three separate speaking sessions with utility customer ENGIE and C3.ai partner Intel‚ and hosted users and customers at a visible show-floor experience. This AI cloud-based offering enables remote monitoring of patients using an array of sensors, wearable devices, and ML algorithms to objectively quantify the impact of interventions and power clinical studies in various therapeutics conditions. We discuss the underlying processing model, and how to handle concurrency and tenancy for read- and write-heavy workloads. AWS offers the broadest set of database and analytics services to process, store, manage, and analyze all your data. Learn how services like AWS CloudFormation and AWS OpsWorks enable you to automate your instance provisioning and configurations as code, ensuring consistent, compliant, and scalable cloud infrastructure. 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. There are many ways for our customers and partners to discover the abundant benefits of our partnership with AWS while at re:Invent 2018 We’re excited to talk cloud with you.