Apache Tajo, a relational database warehouse system for Hadoop, has graduated to to-level status within the Apache Software Foundation. It might be easy to overlook Tajo because its creators, committers and users are largely based in Korea — and because there’s a whole lot of similar technologies, including one developed at Facebook — but the project could be a dark horse in the race for mass adoption. Among Tajo’s lead contributors are an engineer from LinkedIn and members of the Hortonworks technical team, which suggests those companies see some value in it even among the myriad other options.
For decades now, data pipelines have been authored manually, either through hand-coding or interactive visual design. This has resulted in operational brittleness…Register
In this era of digital transformation, organizations looking to gain and maintain their competitive edge are constantly trying to improve the value…Read More
In the era of digital transformation, organizations employ analytics to gain and maintain a competitive edge by constantly improving the value of…Read More
File storage is a critical component of every hybrid cloud strategy, and enterprises often prefer this type of storage over block and…Read More
Very few organizations see disaster recovery (DR) for their IT systems as a business differentiator, so they often prefer to outsource the…Read More
Exponential data growth is no longer news, with the growth of unstructured data now outpacing structured data by several orders of magnitude.…Read More