Data Modeling: Learn How to Convert Schema on Read Into Schema on Write

See what a JSON document looks like, understand how to read it, and learn how to convert it to a standard relational data model.
Watch Now

Spotlight

OTHER ON-DEMAND WEBINARS

Common Mistakes to avoid when implementing your Data Governance Program

Are you planning to implement a data governance program? What are the things that practitioners often overlook or underestimate, and what are the most common mistakes they make? Join us to hear from Katherine Fraser, CEO of 1 to learn more about the key components of a successful data governance program, common mistakes made and to avoid when implementing a data governance program, and tips for maintaining a successful data governance program.
Watch Now

6 Steps for a Successful Data Migration

Did you know that most migrations fail in some way, either missing project deadlines, overshooting budgets, or running into complications in the new environment? A lack of visibility into data can seriously jeopardize—and sometimes even ruin—a migration project.
Watch Now

Data Science for Spreadsheet Users

DataCamp

In this webinar, DataCamp Account Executive Chris Cardillo will challenge anyone spending their days in and out of spreadsheets to pick up a coding language. He’ll cover the tangible benefits of incorporating coding into an everyday workflow, as well as examples of where coding enhances or replaces work done in spreadsheets. Finally, he’ll cover some R language equivalents for spreadsheet techniques, and where to get started when you’re ready to take the first step.
Watch Now

Data Architecture Best Practices for Advanced Analytics

Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need. There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.
Watch Now