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What’s Ahead in Data Management in 2019?

tdwi.org

This webinar is a must attend  for technical users and business managers who are facing these changes. The expert panel on this webinar will help attendees understand what’s ahead in 2019 and beyond for data management. Attendees can then apply that information to prioritize the data management changes they must address and how they will prepare via hiring, training, budgeting, making a business case, and adopting the right data platforms and tools.
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Top 10 Considerations When Looking for a CAPTCHA Vendor

The key to effectively safeguarding business platforms and keeping customers safe today is by stopping malicious bots. Unfortunately, due to rapid advancements in image recognition software, bots can easily beat traditional, legacy CAPTCHA challenges, so it’s important to ensure the vendor you select can sufficiently protect you

OTHER ON-DEMAND WEBINARS

Make Big Data Work in the Cloud

waterlinedata.com

Watch Matt Aslett from 451 Research and MakeBigDataWork.org in this 45 minute educational webinar on how to make big data work in the cloud.As companies shift their Big Data to the cloud and hybrid environments, the need for Big Data analytics and a corresponding long-term analytics strategy has become increasingly critical. Heres your opportunity to listen to experienced Big Data practitioners articulate their best practices in building successful, long term analytics architectures.
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Using DataOps for Data Pipeline Engineering Quality

tdwi.org

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.
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Data Privacy Using AI-Driven Data Catalogs

Do you have your Enterprise’s data privacy under control? Do you know what datasets are sensitive and who has access? Many companies are behind on privacy and regulatory compliance (GDPR, CCPA, etc.). Legacy tools and manual processes are inaccurate and error prone and can force you to choose between delaying data access by months, or increased compliance risk.
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The Rise of Data Mesh and Data Fabric Architectures

As businesses strive to advance digital transformation efforts, legacy architectures can be a significant obstacle to enabling the agility required to succeed in today's ever-changing data landscape. Many enterprises struggle with scaling the delivery of data and analytics to accommodate the growing array of data domains, users, and use cases. As a result, data mesh and data fabric architectures are on the rise with the aim of abstracting data management complexity, increasing data availability, and fostering greater collaboration.
Watch Now

Make Big Data Work in the Cloud

waterlinedata.com

Watch Matt Aslett from 451 Research and MakeBigDataWork.org in this 45 minute educational webinar on how to make big data work in the cloud.As companies shift their Big Data to the cloud and hybrid environments, the need for Big Data analytics and a corresponding long-term analytics strategy has become increasingly critical. Heres your opportunity to listen to experienced Big Data practitioners articulate their best practices in building successful, long term analytics architectures.
Watch Now

Using DataOps for Data Pipeline Engineering Quality

tdwi.org

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.
Watch Now

Data Privacy Using AI-Driven Data Catalogs

Do you have your Enterprise’s data privacy under control? Do you know what datasets are sensitive and who has access? Many companies are behind on privacy and regulatory compliance (GDPR, CCPA, etc.). Legacy tools and manual processes are inaccurate and error prone and can force you to choose between delaying data access by months, or increased compliance risk.
Watch Now

The Rise of Data Mesh and Data Fabric Architectures

As businesses strive to advance digital transformation efforts, legacy architectures can be a significant obstacle to enabling the agility required to succeed in today's ever-changing data landscape. Many enterprises struggle with scaling the delivery of data and analytics to accommodate the growing array of data domains, users, and use cases. As a result, data mesh and data fabric architectures are on the rise with the aim of abstracting data management complexity, increasing data availability, and fostering greater collaboration.
Watch Now
More On-Demand Webinars

Spotlight

Top 10 Considerations When Looking for a CAPTCHA Vendor

The key to effectively safeguarding business platforms and keeping customers safe today is by stopping malicious bots. Unfortunately, due to rapid advancements in image recognition software, bots can easily beat traditional, legacy CAPTCHA challenges, so it’s important to ensure the vendor you select can sufficiently protect you

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