Retailers are using big data to report on consumer demand, inventory availability, and supply chain performance in real time. Big data provides a convenient, easy way for retail organizations to quickly ingest petabytes of data and apply machine learning techniques for efficiently moving consumer goods. A top supermarket retailer has recently used Unravel to monitor its vast trove of customer data to stock the right product for the right customer, at the right time.

One key aspect of the Cloudera Data Platform (CDP), which is just beginning to be understood, is how much of a recombinant-evolution it represents, from an architectural standpoint, vis-à-vis Hadoop in its first decade. I’ve been having a blast showing CDP to customers over the past few months and the response has been nothing short of phenomenal…

The novel coronavirus, COVID-19, presents challenges the world hasn’t seen for decades. Humans have fought global pandemics before, and it isn’t easy. But we have an additional weapon on our side this time — data.

Back in 1985, Simple Minds sang “Don’t You (Forget About Me),” the soundtrack to – what is IMHO – one of the greatest movies of the ‘80s: “The Breakfast Club.” The song famously asks us not to forget, and – if any of the wedding parties I’ve attended are anything to go by – we certainly haven’t. However, when it comes to our sensitive data, that’s not always the case.

This blog post is part of a series on Cloudera’s Operational Database (OpDB) in CDP. Each post goes into more details about new features and capabilities. Start from the beginning of the series with, Operational Database in CDP. Cloudera’s OpDB provides a rich set of capabilities to store and access data. In this blog post, we’ll look at the accessibility capabilities of OpDB and how you can make use of these capabilities to access your data.