Industry 4.0, an Ambitious Idea, Needs Data Democratization
The key to achieving Industry 4.0 success is data democratization, which provides broad accessibility to data and corresponding analytics
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
The key to achieving Industry 4.0 success is data democratization, which provides broad accessibility to data and corresponding analytics
A majority of companies consider most of their enterprises' data to be "dark data," or basically data overlooked by analytic applications and
To maintain the performance, reliability, and data durability of your production Kafka cluster, it’s crucial to monitor, prepare for, and react to these …
New technology enables a wide range of data sharing models that help businesses monetize data assets without distributing or disclosing sensitive
In this week's real-time analytics news: AWS re:Invent in Las Vegas drew huge crowds and had many announcements about new services and partnerships.
As ever-stricter privacy laws are passed, zero-party data may be the only way to future-proof your consumer interactions and prepare your company for the …
With open banking, each data element can be exposed as an API. The process is infinitely more efficient than other data access and sharing methods and has a …
With StreamSets, data engineers can design reusable intelligent mainframe data pipelines that transform the data in motion while identifying and adapting to …
An essential element in making business decisions today is how to make transactional and operational mainframe data more easily available for reporting and …
In anticipation of every-growing big data volumes, new International System of Units prefixes were added this month for the first time since 1991.