Walk around any large organization and hear people groan about finding the right data to do their work. In the typical organization, data sits in multiple places, lost behind technical and functional boundaries. These isolated systems, referred to as “data silos,” have often existed for good purposes and reasons such as helping each business function […]
Get Ready for DataOps
An emerging discipline called DataOps is taking a page out of the DevOps playbook. The latter is all about accelerating the time to software delivery, and the former about accelerating data flow. And just as DevOps replaces the waterfall method of software delivery, DataOps replaces the waterfall approach of delivering data to the data consumer. […]
Modeling Sets of Data
Click to learn more about author Thomas Frisendal. Remember? People of my age were taught set algebra at high-school (in my case in the late seventies). Today it is elementary school stuff. And it is indeed a useful tool with applications in many real-life situations. Why did Set Algebra not Become More Popular? In retrospect, […]
The State of Data Management: Challenges, Predictions, and Solutions
The level of sophistication around data has increased quite a bit in the 20 years Ron Agresta has been working with SAS. “Back in the day, it would be no governance, minimal quality, and those capabilities were not well managed. Now the whole segment has shifted,” he said, and it’s much rarer to find companies […]
The Atoms and Molecules of Data Models
Click to learn more about author Thomas Frisendal. I realized that I needed to know what the constituent parts of data models really are. Across the board, all platforms, all models etc. Is there anything similar to atoms and the (chemical) bonds that enables the formation of molecules? My concerns were twofold: As part of […]
Where Does the Data Live?
Click to learn more about author William Peterson. Where does the data live? A simple question that can have a very complex answer. But the reality may be that with a data fabric the answer doesn’t matter. Why? As we pointed out in the first blog in this series: “The next generation of Data Management will […]
Data Virtualization: The Rite of Passage
Click to learn more about author Kim Kaluba. During a recent visit to Disney World, I had the thrilling experience of soaring on the back of a Banshee in Pandora – the fictional world from Avatar – in the park’s “Flight of Passage” virtual reality ride. As I hopped on my Banshee and put on […]
Data Lineage and Metadata Management: An Innovative Approach
“Every day, companies need to track and trace data movement processes through metadata discovery and data lineage,” emphasizes Amnon Drori, CEO and co-founder of Octopai. This task has not been easy and has often frustrated Drori throughout his twenty-year career. In the past, Drori’s teams have had to spend time checking and rechecking data, a […]
The Data Hub Brings Opportunities for Data Orchestration
The massive proliferation of data volumes has created an important opportunity for business insight and data-informed decision-making, but many companies struggle with getting the value out of all that data. “While data is the new gold, and we are currently experiencing a data-driven ‘gold rush,’ enterprises are still struggling to manage data from multiple sources,” […]
The Next Phase of Data Management
Click to learn more about author William Peterson. Existing generations of Data Management are point products or tools solving a specific issue. Conceptually this is similar to networking devices or compute being treated as a manageable resource. Terms like Data Fabric, while helpful, can be confusing as there are a number of competing definitions and uses […]