17 Best Data Warehousing Tools and Resources July 11, 2023 by Abe Dearmer A quick guide to the best data warehousing tools out there, complete with pricing information, all in one place.
The Ultimate Guide to Data Warehouse Design March 13, 2023 by Mark Smallcombe Data warehouses help you run logical queries, build accurate forecasting models, and identify impactful trends throughout your organization. But, what goes into designing a data warehouse? Whether you choose to...
Data Warehouse vs. Database: 7 Key Differences March 13, 2023 by Donal Tobin Data warehouse vs. databases: which do you need for your business? Discover the key differences and how a data integration solution fits in.
MongoDB vs. MySQL: Detailed Comparison of Performance and Speed March 01, 2023 by Mark Smallcombe MongoDB vs. MySQL brings up a lot of features to consider. Get a detailed comparison of their performances and speeds before you commit.
Isn't the Data Warehouse the Same Thing as the Data Lakehouse? February 24, 2023 by Bill Inmon Find out the differences between data lakehouses and data warehouses. Learn how Integrate.io provides powerful analytics capabilities to help make transitions quicker & easier.
Understanding The Risks and Rewards of Data Observability January 16, 2023 by Lyndsay Wise Before implementing a data observability solution, it is important to understand the benefits and risks associated with a data observability implementation. Organizations need to understand the benefits and challenges to...
Top 5 ETL to Snowflake Tools January 11, 2023 by Abe Dearmer What are the best ETL to Snowflake tools for 2021? And why should you use ETL for Snowflake in the first place?
From Data Warehouse to Lakehouse December 30, 2022 by Bill Inmon Bill Inmon outlines the interesting evolution of data architecture from simple applications to data warehousing and beyond in this new post from Integrate.io.
Why the Data Warehouse is Not Dead and Stronger Than Ever November 25, 2022 by Bill Inmon Read Bill Inmon's perspectives about the so-called 'death' of the data warehouse and why this technology is stronger than ever before.