A journey of analytic data to a warm lake, hot insights, and frozen glacier (Level 200)
Traditional data warehouses struggle with vast amounts of data - it costs too much or data is siloed. This prohibits customers from innovating and extracting value from their data. Customers want to analyze their operations quicker and operationalize insights faster. In this session, we share how you can maximize performance and minimize the costs of your analytical data journey, from ingest, to processing, to archival for both structured and unstructured datasets, with a data heatmap classification. We focus on how you can combine services like Amazon Redshift for Data Warehousing, or Amazon FSx for Lustre for HPC Analytics, with Amazon S3, which forms the heart of the data lake for our customers.
Wali Akbari, Senior Storage Solutions Architect, APJ, AWS
Evgeny Minkevich, Senior Solutions Architect, AWS