Register now for - "Data Sharing and Marketplaces: The New Frontier in Data- Thursday, December 15, 11 a.m. Eastern Time.

Past Webinars
Community Forum Webinars

Foundations for Data Marketplaces: How to Build a Robust Data Supply Chain

November 29, 2022

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Data marketplaces form the centerpiece of the new data economy. They make it easy for companies to buy, sell, or exchange data products in a frictionless manner. Data suppliers use marketplaces to package, publish, and distribute data products, while data buyers use them to search, browse, acquire, and ingest those products.

There are many types of data marketplaces. Some are public, open to any buyer and seller. Others center around a single sizable data supplier or data buyer. Still others are internal, fostering the exchange of data products among disparate business units. Modern data marketplaces provide numerous value-added services that go well beyond static product lists and file transfer links. They actively vet and recommend data products; they check data quality and schema changes; they enrich customer data sets with multi-vendor data; and they host collaborative workspaces for buyers and sellers to validate, filter, and augment data products.

Sponsor: Revelate

Community Forum Webinars

The Rising Role of the Data Catalog in Governance Programs

November 02, 2022

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Data catalogs stand at the nexus of exploding data supply and demand. Multiplying users, applications, and devices demand multi-structured data from a growing supply of sources, including databases, data warehouses, and data lakes. Enterprises that catalog their data assets effectively can help reconcile this supply and demand while governing consumption. Those that don’t will become less productive and increase compliance risk.

This webinar will explore the rising role of the data catalog in data governance programs. Kevin Petrie, VP of Research at Eckerson Group, and Lewis Wynne-Jones, VP of Product at ThinkDataWorks, will define why and how leading enterprises implement catalogs as part of their governance programs.

Community Forum Webinars

Data Access Management: Balancing Data Access and Data Security

October 05, 2022

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Data Access Management (DAM) is the process of defining and enforcing policies that control access to application data throughout the enterprise. Until recently, DAM required a trade-off between data access and data protection, but that zero-sum game does not work in today's complex global data landscape.

The modern approach to DAM provides both greater data access and better data protection through centrally managed and universally enforced data access policies. Data access management solutions dynamically evaluate every data request against applicable access policies at runtime to determine what data the requester can see. They enable data governance teams to centrally manage data access policies and equip data system administrators with no-code/low-code tools to configure automated enforcement.

You will learn:

• The main pillars of Data Access Management

• The evolution of DAM

• How DAM solutions work

• Strategies to improve implementation

Sponsor: InfoVia

Community Forum Webinars

CDO TechVent: Observability

August 25, 2022

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As enterprises expand, digitize, and analyze, they create a world of complexity. Digital transformation brings new users, applications, devices, and IT infrastructure. And analytics brings rivers of data from many fast-changing sources.

The emerging discipline of observability seeks to help business and IT leaders understand all the moving pieces. It monitors indicators, correlates them, identifies issues, assesses root causes, generates alerts, and remediates issues. But how do you extract just the right signals from all that noise? And how many tools do you need?

Panelists: Kevin Petrie, Laura Sebastian-Coleman, Kyle Kirwan, Chris Santiago, Josh Benamram, Seth Rao

Sponsors: Bigeye, FirstEigen, Unravel Data,, Acceldata

Media Sponsors: BARC, Datanami, HPCwire, The Bloor Group, Tabor Communications, CDInsights - Cloud Data Insights News & Analysis, RTInsights, Solutions Review

Community Forum Webinars

Beyond Observability: Autonomous Trustability of Data Lake and Pipeline

July 27, 2022

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Continuous testing is one of the four key pillars of DataOps. But with the enormous volume of data flowing through cloud and hybrid data lakes, how can data engineers keep up? The answer is automation.

A new generation of data observability tools leverage machine learning to autonomously validate data throughout the data pipelines. They instill trust in data by catching issues before they break downstream processes and connect to data catalogs to track data quality in real time. Join Eckerson Group Senior Analyst Joe Hilleary, CEO of FirstEigen Seth Rao, and Director of Product Marketing of Alation Ibby Rahmani as they explore the impact of these solutions.

Sponsor: First Eigen