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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

Stream Processing: Streaming Data in Real Time In-Memory

As big data continues to grow bigger and become more diverse and more real-time, forward-looking organizations are looking to manage and analyze this data using advanced analytics in an environment that 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.

Fern Halper, Ph.D.


Visual Dashboards for Self-Service BI

A picture can paint a thousand numbers and broaden the appeal of BI tools. A fiercely competitive business environment demands more agility and shorter time to insight. These forces have given rise to visual data discovery tools as a new module in the BI portfolio. Specialty BI vendors are growing rapidly and BI platform vendors have rushed to add visual discovery capabilities to their portfolios.

Cindi Howson


Making Predictive Analytics Consumable

Predictive analytics is a powerful technology that is rapidly becoming mainstream. It is being used across industries to understand and predict customer behavior, detect fraud, determine outcomes, and much more. An important trend in the market is the move to make the output from predictive analytics more consumable by end users.

Fern Halper, Ph.D.


Choosing Data Visualizations to Satisfy User Requirements

Data visualization is hot, but just giving users a library of visual objects will not make them suddenly more productive with data. It is important to match requirements with the right visualization options. Users need data visualization for a variety of business intelligence and analytics activities.

David Stodder


Moving Analytics to the Cloud: Are You Ready?

TDWI has seen a growing interest in utilizing the cloud for deploying reporting platforms, analytic tools, data warehouses, and other databases—and for good reason. The fluid allocation of resources that is typical of a cloud lends itself to analytic projects, especially those utilizing big data. A number of cloud use cases are emerging.

Fern Halper, Ph.D.


Big Data Analytics for Better Customer Intelligence: Steps to Success

Becoming customer centric is a critical success factor for most organizations. The marketplace rewards those that have the smartest and most responsive customer marketing, sales, service, and engagement. Superior use of data is essential to achieving goals in all of these areas. Leading organizations are separating themselves from the pack by deploying big data analytics, data visualization, analytics platforms, and business intelligence to gain the most insight from customer data generated across all channels, including social media.

David Stodder


Modernize Data Warehousing with Hadoop, Data Virtualization, and In-Memory Techniques

A growing number of user organizations are under pressure to capture and manage big data, as well as get business value from big data by analyzing it. To achieve these goals, many organizations are extending and revamping their data warehouse (DW) environments. According to TDWI surveys, the new technologies being adopted most by users who are modernizing their DWs include: Hadoop, Data virtualization, and In-memory techniques.

Philip Russom, Ph.D.


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