Apache Spark with its rich data APIs has been the processing engine of choice in a wide range of applications from data engineering to machine learning, but its security integration has been a pain point.t Many enterprise customers needi finer granularity of control, in particular at the column and row level (commonly known as Fine Grained Access Control or FGAC).
As data science has taken center stage in a lot of organizations, many are relearning what they’ve already known – that dry, mathematical calculations don’t inspire and don’t stick. It’s the story that matters. In this second of a two-part blog series, we look at some best practices for data storytelling and how Qlik analytics can help.
If there is a single most delicate aspect to the balance of data sharing and compliance, it lies in the process of creating a single source of truth. This project involves many departments across the company: sales, customer support, and of course, IT. The more stakeholders are involved, the more project's complexity rises, as it contains different objectives from different parties.
Cloudera Data Platform (CDP) unifies the technologies from Cloudera Enterprise Data Hub (CDH) and Hortonworks Data Platform (HDP). As part of that unification process, Cloudera merged the YARN Scheduler functionality from the legacy platforms, creating a Capacity Scheduler that better services all customers. In merging this scheduler functionality, Cloudera significantly reduced the time and effort to migrate from CDH and HDP.
