Flexibility is key when building and scaling a data lake. The analytics solutions you use in the future will almost certainly be different from the ones you use today, and choosing the right storage architecture gives you the agility to quickly experiment and migrate with the latest analytics solutions. In this session, we explore best practices for building a data lake in Amazon S3 and Amazon Glacier for leveraging an entire array of AWS, open source, and third-party analytics tools. We explore use cases for traditional analytics tools, including Amazon EMR and AWS Glue, as well as query-in-place tools like Amazon Athena, Amazon Redshift Spectrum, Amazon S3 Select, and Amazon Glacier Select.
Home
»
Vidyard - All Players
»
Getting Started with Data Lake - Build Data Lakes and Analytics on AWS (Cantonese Webinar)
Most Recent Videos
27:27
FSI Biz3. Transforming Business Unveiling the Role of Generative AI in Driving Sales Revenue Growth
23:59:59
1. Unleashing Data-Driven Innovation with AWS Data Analytics and Amazon Quicksight for Transformativ
52:22
FSI KN1. Opening Keynote Generative Artificial Intelligence (AI) and AI ML for Financial Services
23:59:59
FSI Tech 1. Powering Quant Research by Amazon FinSpace with Managed KDB Insights
23:59:59
FSI Keynote 1. Opening Keynote Generative Artificial Intelligence (AI) and AI ML for Financial Servi