Storing the data independent of the SaaS database provides greater flexibility to transform, join, cleanse, cube, or aggregate data as required by downstream users and applications.

A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they have to do is type in a question.

Learn how to use Excel Power Query's extract and split column features to extract delimited strings into their components with this step-by-step tutorial. You might receive foreign data in the ...

SQL Server 2019 builds on intelligent query processing features that were implemented in SQL Server 2017, and expands them to new areas of the database engine. Let's take a deeper dive into some ...

They will also dive into SQL and write complex queries to extract and organize data across databases. As the course progresses, lessons cover the fundamentals of machine learning, including ...

Starburst unifies siloed data, simplifies AI workflows with Trino, and boosts LLM accuracy using RAG, governance, and open ...

Tinybird first ingests data in real time from event streaming platforms, such Kafka, Amazon Kinesis or Pub/Sub. It can also ingest data from BigQuery, Snowflake, Amazon S3 and other storage locations.

Key features of Power Query include data transformation, undo functionality, seamless Excel integration, and the ability to handle structured web data efficiently. 1: Importing Data from Web Sources ...