A data warehouse stores data from in-house systems and various outside sources. Data warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of modern business intelligence. The architecture for data warehouses was […]
5 Common Data Governance Challenges (and How to Overcome Them)
It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to overcome Data Governance challenges. Let’s break down some of today’s biggest Data Governance challenges […]
What Is a Data Silo?
Data silos have often had a negative connotation. They describe isolated data islands that appear or are discovered upon finding disjointed Data Management components. These include: Systems that cannot programmatically work with other systems because of older or incompatible code Fixed data that is controlled by one department or team but is cut off from […]
A Brief History of Data Silos
The original purpose of a data silo was to keep secrets. People have been keeping secrets for a long, long time. Prior to the written word, keeping a secret meant not sharing specific information with anyone else, verbally. And then came the written word. Secrets could be shared accidentally, or even stolen. Life became more […]
What Is Data Virtualization?
Data virtualization is a special kind of data integration technology that provides access of data in real time, seamlessly all in one place. Think of it like a television guide which contains a listing of shows on a variety of channels, without having to be on that channel to see the content. In data virtualization, […]
Why Graph Databases Are an Essential Choice for Master Data Management
Click to learn more about author Brian Platz. Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. It’s outdated, it’s clunky, and it was built for a different era. […]
How a Data Catalog Enables Remote Collaboration
Click to learn more about author Emily Washington. Forty-two percent of the U.S. workforce is working from home full-time, according to the Stanford Institute for Economic Policy Research — almost twice as many employees as this time last year. As companies reimagine a post-pandemic workforce, many are either abandoning their office spaces completely or embracing […]
Metadata Management and Analytics: What is the Intersection?
Metadata Management implies a set of activities, which administer data for better usage and outcomes. Thus, this practice involves establishing stringent roles, responsibilities, policies, and processes to ensure that data-driven information is available, accessible, sharable, and maintainable across an organization for the best analysis and application of such information in daily business. In that sense, Metadata […]
Improving Data Pipelines with DataOps
Click to learn more about author Joe DosSantos. It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […]
Wrangle Your Technology Sprawl by Adopting a DevOps Mentality
Click to learn more about author Rob Chapman. If you’re part of an IT team supporting a lot of retail locations, you’ve likely felt the burden of technology sprawl. Businesses that once had just a few servers and a small IT shop are suddenly dealing with dozens, hundreds, or maybe even thousands of systems. Unfortunately, […]