| John, once you've begun to use Hadoop for ETL offload, the next logical steps on your journey toward the data warehouse of the future are to create an active archive and a data repository — allowing you to perform more advanced analytics faster, while further reducing costs. Learn how taking your structured data and moving it into Hadoop for active archive keeps it available for analytics and search while lowering costs. After that, you can create a data repository by moving siloed and unstructured data to Hadoop. Making more data available for advanced analytics, which helps you to increase profits, reduce fraud, decrease reporting costs and boost productivity. Attend this webinar and you'll: - Find out how you can benefit from Hadoop for active archive
- Learn how to break down data siloes
- Understand the reasons for and benefits of using Hadoop for creating an active archive and data repository
- Get helpful tips for expanding your use of Hadoop
It's time to create your data repository for advanced analytics so you can continue your journey toward the data warehouse of the future. It also sets you up for the final step in the journey: Lambda Architecture with In-Memory Technology. Can't make the live session, register today and we'll notify you when it's available on-demand. | 
