Microsoft veteran Bob Muglia: Relational knowledge graphs will transform business
'We're at the start of a whole new era' with knowledge graphs, says Microsoft veteran Bob Muglia, akin to the arrival of the modern data stack in 2013.
'We're at the start of a whole new era' with knowledge graphs, says Microsoft veteran Bob Muglia, akin to the arrival of the modern data stack in 2013.
For those struggling to understand big data, there are three key concepts that can help: volume, velocity, and variety. These three vectors describe how big data is so very different from old school data management.
The Estée Lauder Companies has created a chief analytics officer position as part of its senior leadership team. Learn about this important role and its impact on digital transformation efforts. From data science to culture, it's more complicated than you might think.
Facebook is providing more details about its Lumos platform, which allows those without deep learning and computer vision training to use it.
Understanding the difference between descriptive, predictive, and prescriptive analytics can set you on the right path to finding a viable and productive solution for your business—but beware of potential pitfalls.
Greenplum is probably the best-kept secret in the analytic database world. While Pivotal was busily building its Cloud Foundry business, its Greenplum business has continued to thrive. The new release steps up the multi-workload capabilities that differentiate Greenplum. The next question is when will Pivotal launch a managed Greenplum cloud service?
An earnest argument for NoSQL...from an RDBMS veteran of IBM and Oracle.
Microsoft's new home-brewed Hadoop distribution lets Azure HDInsight keep on truckin' in a post-Hortonworks big data world.
The company founded by the creators of Apache Spark is working to elevate its newest innovations to open source standards.
Being able to deploy machine learning applications at the edge is the key to unlocking a multi-billion dollar market. TinyML is the art and science of producing machine learning models frugal enough to work at the edge, and it's seeing rapid growth.