xyzt.ai’s Post

If you work with data - you’ve probably heard of the term “Open Table Format”. If you haven’t, or if you want to learn what Open Table Formats (OTFs) are and why they are all the rage, check out my recent blog post: https://lnkd.in/g_BDeaxe

Quack Quack, Dive into Iceberg! Why not use DuckDB to query your Iceberg tables? There's no need to rely on expensive engines every time you need to run analytics. DuckDB is a lightweight, in-process SQL engine that can handle Iceberg tables efficiently, offering a cost-effective and straightforward solution for your data analysis needs.

🎓 Tutorial: Learn how to publish customized hosted feature layer views of the same source data. This walkthrough demonstrates the configuration and publishing steps to create multiple feature layers from the same source data. https://ow.ly/hZCQ50TKLAf

Learn how to turbocharge your data productivity with Matillion DPC agents, create custom joins in ThoughtSpot’s SQL Editor and more in our January blog roundup. 👉 https://bit.ly/3ORSdnj

🎓 Tutorial: Learn how to publish customized hosted feature layer views of the same source data. This walkthrough demonstrates the configuration and publishing steps to create multiple feature layers from the same source data. https://ow.ly/Xvob50THikE

Working with Data From Multiple Databases In this 10 minute video, we'll walk you through the entire process of working with data from multiple databases. By then end of the video, you will see how, with m-Power's help, we have placed data side by side on the same screen from 2 completely separate databases. https://lnkd.in/eX_ggW3B

Working with Data From Multiple Databases In this 10 minute video, we'll walk you through the entire process of working with data from multiple databases. By then end of the video, you will see how, with m-Power's help, we have placed data side by side on the same screen from 2 completely separate databases. https://lnkd.in/ehNaHDea

Do you ever use the OBJECT_PICK or OBJECT_DELETE functions in Snowflake? When working with semi-structured data, we often want to use only specific keys and values. These functions can be handy for materializing a smaller subset of your semi-structured data or implementing dynamic data masking policies. I'll share the docs and a Medium article I found in the comments. Here's an example of how they work!

What does the head() function in pandas do? The head() function in pandas is used to quickly show the first rows of your DataFrame. It's a handy tool for getting a preview of your data, making it easier to check data integrity and structure right after loading it into your workspace.

🎓 Tutorial: Learn how to publish customized hosted feature layer views of the same source data. This walkthrough demonstrates the configuration and publishing steps to create multiple feature layers from the same source data. https://ow.ly/iQAc50TO4WL