Understanding and Evaluating Cloud-Based ETL Tools November 06, 2023 by Abe Dearmer Considering your options for cloud-based ETL tools? In this engaging blog post, we'll break down exactly what you should be looking for.
Active Data Warehouses vs. Traditional Data Warehouses August 31, 2023 by Terence Bennett Explore the differences between active and traditional data warehouses, their benefits, drawbacks, and best use cases. Make the right choice for your business.
Data Migration with Microsoft SQL Server ETL Tools August 30, 2023 by Donal Tobin Explore the advantages of ETL-based data migration, top SQL Server ETL tools, and best practices for optimizing your data integration process.
Fivetran vs. Talend vs. Integrate.io: A Comprehensive Comparison April 12, 2023 by Mark Smallcombe Which ETL solution is right for you? In this in-depth guide, we compare Fivetran vs. Talend vs. Integrate.io so you can make the best choice. Check it out.
7 Important Capabilities for Data Observability February 06, 2023 by Lyndsay Wise Organizations are starting to look more seriously at the health of their data and leveraging analytics to do so. Data observability gives organizations that ability but the market is still...
Overcoming 9 Data Governance Challenges January 30, 2023 by Lyndsay Wise Data governance is the process of managing and protecting data throughout its lifecycle.
7 Important ETL Requirements December 26, 2022 by Lyndsay Wise Let's simplify ETL to identify seven criteria that shouldn't be overlooked. The seven criteria are: Extract, Cleanse, Transform, Load, Analyze, Automate, Right time access
The Importance of Business and IT Alignment to Build Successful Data Pipelines October 31, 2022 by Lyndsay Wise Successful data pipeline projects being built require broader considerations than just the pipelines themselves. Understanding business outcomes and needs, help data teams build better data pipelines across the data ecosystem.
Successful Data Projects Start with Understanding Business Problems October 25, 2022 by Lyndsay Wise Too many data projects overlook the root causes driving data pipeline needs. Organizations need to drive data projects by evaluating business challenges, risks, and opportunities. Overall project success requires an...