What's new and a look a head: Unlocking Value with Unravel presented by VP of Solutions Engineering Chris Santiago.

Are you having trouble creating and running scheduled jobs in BigQuery, and would like to implement it in your production and development pipelines? Check out this video where we will be discussing BigQuery's scheduled queries feature, and the IAM permissions needed to create and configure them. We will show you how to configure and schedule queries and the configuration options available. Watch this video to learn some important caveats and how to overcome them while using scheduled queries in BigQuery.

💻 Get a server: 📄 Documentation on Fundamentals: ✨ Follow us and star us!

Would you like to know how to manage your workloads efficiently? Are you interested in learning how to share the slots across different workloads/projects?

This video will show how you can move your Selenium projects to Katalon Studio – better test automation, no legacy scripts wasted.

Learn how Snowflake can be used to efficiently calculate On Time In Full metrics and how Snowflake can simplify and improve your inventory management process in this tutorial from Snowflake senior sales engineer, Benjamin McClellan.

In this new Spool Tutorial, learn about exporting Google Analytics 4 data to your chosen destination. Stitch partners with the most common data warehouses and data lakes to help move your data to places like Amazon Redshift, Snowflake, Amazon S3, PostgreSQL, Panoply, and more.

What is a data lifecycle? From birth to death, from source to destination, data seems to always be on a journey. If storage and compute were free or there were no laws like the “Right to be Forgotten” within policies such as “General Data Protection Regulation” or GDPR for short, organizations might never delete information. However, at scale data gets extremely expensive and customers do have liberties with regards to governance and sovereignty. Often it is the case that platforms have whole controls and procedures around the lifecycle of data. And in this episode, we will focus on the complexity of scale when it comes to the day in the life of data.

The first 5 challenges of #bigdataanalytics have been solved, bringing us closer to the end of the #datajourney. And here is where it starts getting real: Data Analytics. Today, there are struggles between operational and business analysis departments. SQL and ML functionality natively without data movement or duplication. How can you access and share the data timely, and efficiently, without data movement or duplication or an insane cost increase? Thomas Hazel shares his insights on how any organization can overcome this challenge, easily.

Learn how to change the color settings in a chart by using different metric ranges, and even custom sets of colors. You'll learn how manipulate the color in your charts by setting upper and lower bounds, or by specifying the midpoint in your chart. You will also learn the two places that you can access the color settings in your charts.