Most companies are over-run with data, yet they lack critical insights to make timely and accurate business decisions due to cost, complexity, and rigid architectures of traditional data warehouses. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. Amazon Redshift offers optimization for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solution and extends queries to the data lake with no data movement needed. In this session, we discuss how moving to Amazon Redshift enables you to unlock better price-performance and scale, automate administrative tasks, natively integrates with your data lake and enables you to analyze open data formats without the need to load, transform, or move the data.

Speaker: Noman Jaffery, Specialist Solutions Architect, Data Warehouse, AWS