By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

RESEARCH & RESOURCES


Featured Webinars

  • From Migration to Modernization: Boosting Your Data Infrastructure for Success

    Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth. October 22, 2024

  • Driving Data Quality at Scale with High-Performance Observability

    In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. October 24, 2024

  • Building Sophisticated AI Business Applications in the Cloud

    In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 29, 2024

Upcoming Webinars

International Broadcasts

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

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.


On Demand

The New Architecture for a Modern BI Environment: Answering the Challenge of Growing Sources of BI Data

Data, data everywhere … Today’s BI implementation experts are faced with increasing volumes and sources of data (on premises and off), new and innovative technologies, more complex data integration and quality issues, and difficulties maintaining and enhancing these diverse BI architectures.

Claudia Imhoff, Ph.D.


Realizing the Potential of In-Memory Computing for BI and Analytics

For business intelligence and analytics, in-memory computing is a groundbreaking development. In-memory computing can free users from many of the performance constraints on data access and analysis caused by having to go to disk. Using expanded main memory opens up a much larger territory for running analytic functions against data locally, and for reports and analytic models that demand real-time data.

David Stodder


Boost Your Data Warehouse and Analytics Environments with “Fresh” Data

To help business users make better and faster decisions, your business intelligence (BI), data warehousing (DW), and analytics environments should provide access to the most current information residing in your operational systems.

Philip Russom, Ph.D.


The Doctor Is In: The Role of the Data Scientist for Analyzing Big Data

No profession is getting more attention these days than that of the “data scientist.” Data scientists have made the covers of business magazines and are practically rock stars at online companies such as Google, Facebook, and LinkedIn.

David Stodder


Big Data and Your Data Warehouse

Just a few years ago, big data was a problem in terms of scaling up IT systems and discovering the business value. Thanks to advances in vendor platforms and user practices, most enterprises today consider big data an opportunity—not a problem—because they can mine and analyze it for valuable business insight.

Philip Russom, Ph.D.


Data Exploration and Discovery: A New Approach to Business Analytics

Big data and advanced analytics extend the traditional BI environment with new analytic solutions that enhance business decision making and operational efficiency. Examples of solutions include support for new analytics-driven operational applications, analytics accelerators, data transformation hubs, and investigative computing platforms.

Colin White


Integrating Hadoop into Business Intelligence and Data Warehousing

TDWI recognizes that Hadoop usage is a minority practice today, but assumes that mainstream usage of Hadoop within business intelligence (BI) and data warehousing (DW) applications will become common across many industries within a few years. This Webinar provides an overview of Hadoop products and best practices in the context of BI/DW applications so that user organizations can prepare to integrate Hadoop into their BI/DW technology stacks and software portfolios successfully.

Philip Russom, Ph.D.


TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.

LINKS

Contact Us Marketing Opportunities Become an Instructor or Contributor Media Downloads Author Submissions Reprints & Permissions Vendor News Newsletters Press Releases Sitemap TDWI Europe Become a Member