Yan Leshinsky, VP of Amazon Redshift at AWS, delivers this live session at AWS Innovate: Data Edition. Learn about the newest developments in AWS data services and hear how AWS is freeing builders to innovate and reinvent their businesses with data.
Speaker: Yan Leshinsky, VP Amazon Redshift, AWS
32:18Building a data strategy is imperative and pivotal for businesses and organizations to stay relevant now, and in the future.
51:26Effective leaders rely on data to make informed decisions, look around corners, and take meaningful action. They build a modern data strategy to deliver insights to the people and applications that ne
52:42To make decisions quickly, organizations want to store any amount of data in open formats, break down disconnected data silos, empower people to run analytics or machine learning using their preferred
30:02Get insights and learn how to turn your data into a tool for innovation including achieving agility, scalability, and cost-savings.
36:39With AWS, you can select the right tools to accelerate production launches, and see faster time to value.
31:28Organisations are looking for ways to extract data from images and videos. Storing and manual cataloging of such media is expensive, error-prone, and hard to scale.
32:43Organisations of all sizes use Amazon OpenSearch Service to handle their log analytics workloads.
30:10Organizations can use Amazon EMR to run petabyte-scale analysis using Apache Spark, Hadoop and other open source frameworks at less than half of the cost of traditional on-premises solutions.
29:40Businesses are increasingly using machine learning (ML) to make near-real-time decisions
25:57Uncover and learn how to take existing data in your relational database, for example product reviews, blog comments, and extract sentiments hidden in it.
30:25Learn how to bring data closer to your users by seamlessly embedding analytics within applications using Amazon QuickSight.
22:33Learn how to use Amazon Textract to extract structured data to more accessible file types or to a queryable database, integrate a data lake and analytics solution, visualize the extraction results
28:37learn more about scaling ML beyond the role of the data scientist. The session features a demo focusing on 3 AWS tools you can leverage to enable insights beyond traditional skillset
10:23In this session, we show you how to reinvent new experiences and reimagine old processes with Analytics and AI & Machine Learning (ML) to match your business and organization needs.
30:01As data grows, we need innovative approaches to get insight from all the information at scale and speed. You can use new Redshift features to do more with your data.
28:28Learn how customers have made the move, the migration tools offered by AWS, and new features in Amazon Redshift that makes migration faster and easier.
28:38AWS gives you the broadest and deepest portfolio of purpose-built analytics services optimized for your unique analytics use cases.
33:37Learn how you can improve performance to impact both revenue and customer satisfaction through a distributed cache with Amazon ElastiCache for Redis.
37:27Learn how to easily migrate and maintain database infrastructure and break free from managing legacy systems using AWS managed databases, all while delivering operational efficiency, performance,
