There has been a lot of discussion about how data lakes have failed. That is far from true. Companies are finally figuring out how to make them work as part of a larger data strategy.
To see the significant difference between modern agile data engineering and dataops platforms compared to old fashioned ETL technology, you have to check under the hood.
On April 3rd, Cloudera announced its results and it took a big stock hit. Today, August 15th, Hortonworks announced its results and got the opposite reaction. What does this mean for on-premise Hadoop ...
DataOps is an automated, process-oriented methodology that plays off of the DevOps idea but used by analytic and data teams to reduce the delivery time of data analytics projects.
While most ( 63% ) of the surveyed companies have employed a CDO (where virtually none of them had just four years ago), many of them could not seem to agree on what the role of CDO should be.
The third wave of big data innovation is now here and finally allows companies without an army of big data experts to use big data for competitive advantage.
It is 20+ years since ETL tools came out and we are still revisiting the same argument but in a newer context. For big data, either on premise or in the cloud, should I hand code or should I use tools ...
Today we officially unveiled Infoworks’ Autonomous Data Engine (ADE) V2.4, the latest release of our end-to-end automated software platform for agile data engineering--both on-premises and in the cloud.
Amazon is coming for your business. The good news? There is no reason that big data can’t also be used by your organization to become an agile industry powerhouse.