Recently, Databricks introduced Delta Lake, a new analytics platform that combines the best elements of data lakes and data warehouses in a paradigm it calls a “lakehouse.” Delta Lake expands the breadth and depth of use cases that Databricks customers can enjoy. Databricks provides a unified analytics platform that provides robust support for use cases ranging from simple reporting to complex data warehousing to real-time machine learning.

With Yellowfin 9, we introduced to the world an incredibly flexible, action-based dashboard builder and progressive data storytelling capabilities that advance the capability of the dashboard experience. We’ve received great feedback since then and this month, the newly-released 9.1 further enhances the user experience of analysts, developers, and business users in Yellowfin’s action-based dashboards, data storytelling, and data discovery products.

Data saturation is everywhere. We want to collect more data because we want better information from them. However, the rapid rise in our ability to collect data hasn’t been matched by our ability to get meaningful insights from the data.

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…