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

David Stodder

Visual Analytics for Making Smarter Decisions Faster

Business users today want to move past the limits of spreadsheets and canned business intelligence (BI) reporting to gain a richer, more personalized experience with data. Users want to explore data and discover new insights they can apply readily to improve business strategies, processes, operations, and customer engagement.

Date: August 4, 2015

Time: 9:00AM PT

David Stodder


Fern Halper

Stream Processing: Streaming Data in Real Time, in Memory

As big data continues to grow bigger, become more diverse, and more real-time, forward looking organizations are looking to manage and analyze this data using advanced analytics in an environment which might include multiple approaches and technologies. For real time streaming data this could include utilizing technologies that support in-memory processing, where data and mathematical computations are performed in RAM rather than on disk; enabling processing thousands of times faster than data access from disk.

Date: August 12, 2015

Time: 9:00AM PT

Fern Halper


Fern Halper

Practical Predictive Analytics for the Line-of-Business Analyst

Can business analysts effectively use predictive analytics? Adoption of predictive analytics and other advanced analytics has increased for a number of reasons, including a better understanding of the value of the technology and the availability of computing power. Economic factors are also a driving force in utilizing predictive analytics for business as companies strive to remain competitive. Companies want to better understand customer behavior. They want to better predict failures in their infrastructure. The uses for predictive analytics are extensive and growing.

Date: August 20, 2015

Time: 9:00AM PT

Fern Halper


David Loshin

Taking Data Integration to the Next Level

Few organizations design an a priori “enterprise architecture.” Rather, systems environments evolve organically as technology decisions are made to address particular business challenges. In essence, this engineers complexity into the environment and establishes data integration as a necessity for interoperation.

Date: August 25, 2015

Time: 9:00AM PT

David Loshin


Philip Russom

Drawing the Big Picture: Multi-Platform Data Architectures, Queries, and Analytics

If you’re truly passionate about data, you want to reach as much data as possible, no matter where it comes from, where it resides, what type of platform it’s on, or what structure it’s in. That’s because the mission of the data management professional is to integrate data creatively and comprehensively to serve an evolving array of business purposes.

Date: August 26, 2015

Time: 9:00AM PT

Philip Russom


Philip Russom

Igniting Analytics: Apache Spark’s Promise and Potential Perils

Apache Spark is a parallel processing engine for big data that achieves high speed and low latency by leveraging in-memory computing and cyclic data flows. Benchmarks show Spark to be up to 100 times faster than Hadoop MapReduce with in-memory operations and 10 times fast with disk-bound ones. High performance aside, interest in Spark is rising rapidly because it offers a number of other advantages over Hadoop MapReduce, while also aligning with the needs of enterprise users and IT organizations.

Date: September 24, 2015

Time: 9:00AM PT

Philip Russom


Fern Halper

New Approaches for Fast Decision Making with Analytics: 5 Tips You Should Know

Changes are occurring in how businesses make decisions. Successful companies are not willing to wait a week or even a day for insight from IT. They want it on-demand, close to real time, and more frequently—and embedded into business processes. Organizations want easy-to-use analytics software for both traditional BI and even more advanced analytics. The need for speed, flexibility, and agility in decision making is becoming a business imperative.

Date: September 29, 2015

Time: 9:00AM PT

Fern Halper