Blog

Updated October 23, 2025

Data loading seems simple on the surface — move information from here to there. The complexity emerges when you ask: at what stage should transformation occur? Before you load? After? This sequencing question, whether to restructure and clean data pre-load…

Updated January 15, 2020

91% of businesses today are facing persistent barriers to digital transformation and are looking to make major investments in security and compliance, multi-cloud, self-service analytics and artificial intelligence. Only too aware of operating in a 'transform or die' landscape, performance…

Updated December 31, 2019

If you’ve been following the AtScale blog throughout the years, we hope that we have provided you with content that has furthered your understanding of the big data analytics landscape and who we are as a company. Of these articles,…

Updated November 26, 2019

Hadoop hasn't lived up to its early promise.  Enterprises in North America are already investing in their third generation data lake, with the same goal of “democratizing data” at scale. The goal of Governed Self-Service providing business insights, and ultimately…

Updated July 26, 2019

Enterprises are moving to the cloud, but this move to become more data-driven is not without major growing pains along the way. According to CMSWire, in fact, in 2019, only 31% of organizations consider themselves data-driven, compared with 37% just…

Updated March 6, 2019

Despite the challenges associated with data warehousing, enterprise IT leaders have accepted it as a necessary evil of deriving value from information within Hadoop and other Big Data ecosystems. How much does it cost to create data warehouses or datamarts…