ETL
The future of data integration in 2022 and beyond
Traditional methods including manual creation of scripts, scrubbing the data, and later loading it into a data warehouse or ETL, (extract-transform-load) was used to integrate data from different sources. These methods were adopted in the era of resource constraints and have now become very time-intensive, expensive, and error-prone, says Yash Mehta, an IoT and big
Read moreMaking IoT data work for your business
There was a time you couldn’t escape the discussion around the Internet of Everything (IoE), which in itself felt symbolic of the journey we’d inevitably go on with the Internet of Things (IoT).
Read moreEnterprises gain IoT and blockchain integration, with added Raspberry Pi
Information Builders, a provider in business intelligence (BI), analytics, and data management solutions, announced the availability of an enhanced version of iWay 8, its suite of solutions for real-time data integration and management.
Read moreHuawei big data platform fuels development of Informatica PowerCenter data integration
Huawei announced that the Informatica PowerCenter data integration solution has earned a ‘Huawei Ready’ certification.
Read moreEvolving landscape of IoT data and analytics explored in new Machina Research report
For decades, enterprises have solidly built their knowledge, strategic insights and processes around well-established approaches to data management and analytics.
Read moreHow to build deep learning open source communities online
IoT Now asked Adam Gibson and Chris Nicholson, the founders of Deeplearning4j — the first commercial-grade, open source, distributed neural net library written for Java and Scala, with one of the most active communities on Gitter — to share their thoughts and lessons learned on open source community building.
Read more