TDWI Webinars

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


Upcoming

Are You Ready for Hadoop? Introducing the TDWI Hadoop Readiness Assessment

A recent TDWI survey shows that Hadoop clusters in production are up 60 percent over two years. This is no surprise because use cases for Hadoop in data warehousing, business intelligence, and analytics are well established. In addition, applications of Hadoop for archiving, content management, and operational applications are emerging into prominence. These developments show that Hadoop usage is diversifying broadly across and within mainstream enterprises, such that Hadoop will eventually be a common platform for many purposes in many IT portfolios.

Date: February 11, 2016

Time: 9:00AM PT

Fern Halper, Philip Russom


Rapid Deployment of Advanced Behavioral Analytics

The continued growth of interactive businesses combined with the explosive diffusion of online, mobile, and IoT (Internet of Things) touch points has enabled organizations to develop business applications involving millions, if not orders of magnitude more interactions and transactions. The success of the business, though, depends on driving the customers and users toward profitable transactions. Examples include purchasing products viewed on an eCommerce web site, recommending an article to a friend, or triggering automated controls within an industrial environment to avoid a part failure. These are examples of scenarios that are informed through behavioral analytics.

Date: March 8, 2016

Time: 9:00AM PT

David Loshin


Data Warehouse Modernization in the Age of Big Data Analytics

Data warehouses (DWs) and requirements for them continue to evolve. DWs are more relevant than ever, as they support operationalized analytics, and wring business value from machine data and other new forms of big data. Hence, it’s important to modernize a DW environment, to keep it competitive and aligned with business goals, in the new age of big data analytics. Yet, user organizations struggle to stay educated about trends and take the right action to modernize their DW investments. Many users need to catch up by deploying a number of upgrades and extensions to their existing DW environments and by adopting modern development methods. Once caught up, they need a strategy for continuous modernization.

Date: April 14, 2016

Time: 9:00AM PT

Philip Russom


On Demand

Demystifying Elastic Data Warehousing: Perceptual Barriers versus Real-World Benefits

We all know that data warehouses and users’ best practices for them are changing dramatically today. As users build new data warehouses and modernize established ones, they are turning to cloud-based elastic data warehousing, because the automation of elasticity yields agility, ease of use, scalability, and performance, while reducing maintenance, tuning, capital investments, and other costs.

Philip Russom


Are you sure that your data is protected? How data-centric security is critical to your business

Are access and authentication enough when it comes to securing your data, especially an organization’s most critical data? The short answer is no. In 2015, many customers of large and small companies including T-Mobile, Excellus Blue Cross Blue Shield, UCLA Health, Scottrade, and more fell victim to data breaches. No industry is immune. TDWI has noted for years that most data warehouses rely on user-centric authorization almost exclusively, with little or no use of data-centric security. Given the ever increasing number of data breaches, security upgrades are certainly needed for data warehouses and the larger evolving data ecosystem.

Fern Halper