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Tag: Data Architecture

When a Data Mesh Doesn’t Make Sense for Your Organization
Hype is a funny thing. Sometimes you find yourself in a Godfather Part 2 situation where the hype is totally justified. You hear about it. You try it. Life is […] The post When a Data Mesh Doesn’t Make Sense for Your Organization appeared first on Datafloq.
The extensive scope of knowledge graph use cases
Image by atul prajapati from Pixabay February’s Enterprise Data Transformation Symposium, hosted by Semantic Arts, featured talks from two prominent members of pharma’s Pistoia Alliance: Martin Romacker of Roche and Ben Gardner of AstraZeneca. It’s been evident for years now that the Pistoia Alliance, organized originally in 2008 by Pfizer, …
What Are the Limits of Sourcing Renewable Energy for Data Centers?
Data centers are a hot topic in renewable energy discourse. Big data proves data center renewable energy is the key to decentralized energy generation and distribution, making it the next […] The post What Are the Limits of Sourcing Renewable Energy for Data Centers? appeared first on Datafloq.
Knowledge DNA Isn’t What You Think It Is
FAIR Data Forecast interview with Andrew Padilla, Owner, Datacequia LLC At the beginning of his career, Andrew Padilla built up an extensive base of experience in healthcare information systems. That experience served him well when he led the development of a cloud native system for a healthcare provider from bare …
Brick by brick: Becoming a data architecture expert in 2022
Data architects are leading experts in data-focused professions. Acquiring the skills necessary to become a professional is like laying the bricks of a wall. If you proceed in a planned and meticulous manner, you will have a solid wall. Otherwise, without an expert opinion of data architecture, a business should
Comparing data fabrics, data meshes and knowledge graphs
Vendors, consultants, and their clients have been talking in data fabric terms for close to a decade now, if not longer. If “big data” was the problem to solve, then a data fabric suggested a ready solution. John Mashey, then chief scientist at Silicon Graphics, used the term “big data” …
Top Considerations When Migrating Off of Hadoop
Apache Hadoop was created more than 15 years ago as an open source, distributed storage and compute platform designed for large data sets and large-scale batch processing. Early on, it was cheaper than traditional data storage solutions. At the time, businesses didn’t need to run it on particular hardware. The …
Evolution to the Data Lakehouse
This is a guest authored article by the data team at Forest Rim Technology. We thank Bill Inmon, CEO, and Mary Levins, chief data strategy officer, of Forest Rim Technology for their contributions. The Original Data Challenge With the proliferation of applications came the problem of data integrity. The problem …
MIT Tech Review Study: Building a High-performance Data and AI Organization — The Data Architecture Matters.
Only 13% of organizations — super achievers — are succeeding at their data and AI strategy yet the successful application of data and AI has never been a greater necessity for survival than now1. In order to remain forward-thinking in today’s landscape, data leaders are looking for the ability to …
Rise of the Lakehouse
With the fast-moving evolution of the data lake, Billy Bosworth and Ali Ghodsi share their mutual thoughts on the top 5 common questions they get asked about data warehouses, data lakes, and lakehouses. Coming from different backgrounds, they each provide unique and valuable insights into this market. Ali has spent …