Enterprise Data Warehouse Modernization and Big Data Analytics
TDWI Speaker: David Loshin, President of Knowledge Integrity
Date: Tuesday, July 28, 2015
Time: 9:00 a.m. PT, 12:00 p.m. ET
Webinar Abstract
Most legacy enterprise data warehouse (EDW) architecture can satisfy many routine workloads associated with operational querying, reporting, and analytics. However, the accelerated growth of data volumes, diversified types of both structured and unstructured data streams, have motivated many business intelligence stakeholders to consider newer technologies that can accommodate these workloads. Today, companies are being asked to support more advanced predictive and prescriptive analytics while also maintaining a nearly flat budget.
In this webinar we discuss drivers for incremental enterprise data warehouse modernization, such as the needs for elasticity, scalability, the desire to incorporate advanced analytics, and incorporation of new yet varied data sources. We will consider some of the emerging technologies that are promoted for modernization, including Hadoop and NoSQL. Lastly, we discuss the benefits and drawbacks of the different choices, and provide some guidance for mapping out a blueprint for EDW modernization.
Attendees will learn:
- Incorporating different types of data streams
- Using more advanced analytical models
- Alternatives to the prototypical EDW architecture
- Quickly evolving the modernization strategy to rapidly scale
David Loshin