Get a three-step framework for optimizing the data warehouse with Hadoop
Enterprises are looking for fresher data – from daily, to hourly, to real-time – as well as access to data from more sources and for longer periods of time. And they need it faster and cheaper. Meanwhile, traditional approaches for transforming data in the data warehouse (ELT) can’t keep pace; retention windows are shrinking to as little as eight weeks; and, as data volumes grow, IT is forced to make cost and performance trade-offs.
Many organizations have discovered that shifting ELT to Hadoop dramatically reduces costs, allows them to incorporate new data faster, and frees up data warehouse capacity for faster analytics and end-user response times.
This presentation will outline a three-step framework for optimizing the data warehouse with Hadoop and demonstrate an end-to-end approach that takes you from data integration to data discovery and visualization with the click of a button. No trade-offs, no compromises.