Database management systems, and the world of databases, is undergoing rapid change in 2012 as enterprises take on the challenges of a mobile workforce and big data and look to take advantage of innovations in lowering costs and improving performance. Learn what the top trends are, how they will affect your business and how you can prepare for them.
Due to increasing data volume and data’s high utility, there has been an explosion of capabilities in the possibilities in the past few years brought into the early mainstream. While stalwarts of our information, like the relational row-based enterprise data warehouse, remain highly supported, it is widely acknowledged that no single solution will satisfy all enterprise data management needs. Many are confused by the value of Hadoop, data warehouse appliances and stream processing and their seemingly conflicting value propositions with current information management infrastructure.
SAS Grid Computing lets you create a managed, shared environment for processing large volumes of data and analytic programs quickly using dynamic, resource-based load balancing. You can split individual jobs into pieces that run in parallel across multiple machines using shared physical storage. This enables the build and management of a lower-cost, flexible infrastructure that can scale to meet the rapidly changing data management requirements.
This practical session will organize and explore the major categories of information stores available and help you make the best choices to ensure information remains an unparalleled corporate asset.
Attendees will learn:
- The place for relational row-oriented data warehouse and data marts
- Efficient operation of a relational database with I/O bottleneck alleviation
- Major trends in the use of databases in organizations
- Hadoop basics for “big data”, webscale, unstructured workloads
- How SAS Grid Computing manages the growth of the data environment
