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.


Leveraging Data Governance to Align and Operationalize Business Policies

There is growing awareness that for practitioners to effectively manage data as an asset to the business, that data must not be simply collected and moved between systems, but must be validated to ensure the level of trust that the data is fit for its various downstream purposes. This demands conformance to business rules that accurately reflect meeting the needs of defined business policies. Understanding business policies, transforming them into data rules, and implementing those rules is the process of data governance. Organizations whose understanding enables their ability to effectively govern their data are gaining business advantage as they leverage data quality, metadata, and data governance tools to translate business policies into consistent, useful data.

Date: December 1, 2015

Time: 9:00AM PT

David Loshin

Your Data Warehouse Is Not Alone: Now It Has Friends in the Extended Analytics Architecture

Analytics are today’s business weapon of choice. Changing business environments and competitive pressures have driven companies to seek a new edge from innovative technologies such as Hadoop, specialized data stores, and the cloud. This expanding and constantly evolving set of data sources means the enterprise data warehouse can no longer be the singular physical location for all large-scale information management.

Date: December 3, 2015

Time: 9:00AM PT

Claudia Imhoff

Engaging the Business: Agile, Collaborative Approaches to Data Usability

The term “data-driven” has become an accepted principle for modern organizations, but to drive modern, agile businesses, each data consumer’s view of enterprise data must both align with individual data quality and usability criteria and remain consistent with other data users in the organization. While traditional data quality/data preparation tools were intended to ensure accuracy and trust, the conventional wisdom centered on a technical, IT-centric usage model.

Date: December 15, 2015

Time: 9:00AM PT

David Loshin

Modernizing Data Integration to Accommodate New Big Data and New Business Requirements

There’s a lot of buzz currently about how many types of IT systems need updates, upgrades, extensions, and replacements, due to recent changes in business and technology requirements. Current parlance refers to these collectively as “modernization” projects.

Date: December 16, 2015

Time: 9:00AM PT

Philip Russom

Seven Steps to Faster Analytics Processing with Open Source

Excellence in analytics is a competitive advantage in nearly all industries. For this reason, organizations need their data scientists, business analysts, and business users to be able to access and interact with more sources and more types of data than ever before. The Hadoop ecosystem is flourishing, producing innovative technologies and frameworks such as Apache Spark, Apache Apex, and more that are becoming important for providing processing speed and power as well as data integration and preparation capabilities for fast, visual, and interactive analytics.

Date: December 17, 2015

Time: 9:00AM PT

David Stodder

Operationalizing and Embedding Analytics for Action

What good is analytics if no one takes action on it? Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions—at the point of decision making. These systems might be automated or provide manual, actionable insights. Analytics is currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex, and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, asset management, customer call centers, and recommendation engines—to name just a few.

Date: January 12, 2016

Time: 9:00AM PT

Fern Halper

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.

Date: January 21, 2016

Time: 9:00AM PT

Fern Halper