Solving business problems using big data depends upon the approach taken. For example, if an organization only knows data warehouses, then challenges will be framed to fit using a data warehouse. As Abraham Maslow, a prominent psychologist eloquently said “I suppose it is tempting, if the only tool you have is a hammer, to treat […]
DataOps Highlights the Need for Automated ETL Testing (Part 2)
Click to learn more about author Wayne Yaddow. DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. ETL (i.e., extract, transform, load) projects are often devoid of automated testing. The […]
The Declarative Approach in a Data Playground
Click to learn more about author Michele Iurillo. One of the most fascinating things I’ve found at my current organization is undoubtedly the declarative approach. It is something so simple and so powerful. In my first business intelligence endeavors, there were data normalization issues; in my Data Governance period, Data Quality and proactive Metadata Management were the critical points. But […]
In a Data-Driven Economy, Data “Real Estate” Must Be Modernized
Click to learn more about author Mike Potter. The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. But […]
DataOps Highlights the Need for Automated ETL Testing (Part 1)
Click to learn more about author Wayne Yaddow. DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. ETL (i.e., extract, transform, load) projects are often devoid of automated testing. The […]
Change Nothing Else – Just Make Your Data Faster
Click to learn more about author Helena Schwenk. Your data engineers, analysts, and data scientists are working to find answers to your questions and deliver insights to help you make decisions. They, like most of us, are not particularly fond of seeing the “spinner,” testing their patience as they wait while running queries and algorithms, […]
How to Plan a Threat Hunt: Using Log Analytics to Manage Data in Depth
Click to learn more about author Thomas Hazel. Security analysts have long been challenged to keep up with growing volumes of increasingly sophisticated cyberattacks, but their struggles have recently grown more acute. Only 46% of security operations leaders are satisfied with their team’s ability to detect threats, and 82% of decision-makers report that their responses to threats […]
Understanding the ETL vs. ELT Alphabet Soup and When to Use Each
There are advantages and disadvantages to both ETL and ELT. To understand which method is a better fit, it’s important to understand what it means when one letter comes before the other.
Case Study: Indiana University, Data Virtualization, and The Decision Support Initiative
“We can throw business intelligence tools at problems and we can have really smart technicians write code but if it’s not serving the needs of the business and actually answering questions that people need to know, then ultimately, our work is futile,” said Dan Young, Chief Data Architect at Indiana University (IU). Young said that […]
Planet of the Apps and Their SaaS-ification
Click to learn more about author Chris Lynch. As the CEO of a technology startup and a recovering venture capitalist, I’ve developed a love/hate relationship with technology during the last few decades. I had the incredible opportunity to be at the forefront of change and explosive growth in the early networking days, was present for […]