The Data Science Iron Triangle – Modern BI and Machine Learning

Categories: Analytic Database Data Engineering Data Science Machine Learning

The New Iron Triangle It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. These systems replaced highly manual operations…

Read More

Introducing Blended Learning From Cloudera University

Categories: Analytic Database Cloudera University Data Science Enterprise Data Hub Spark

Over the past decade, Cloudera University has taught more than 50,000 developers, administrators, analysts, and data scientists how to apply big data technologies. Developers are learning the APIs, so they can create new applications that were never before possible. Administrators learn to plan, install, monitor, and troubleshoot clusters. And analysts discover the power of SQL over large, diverse datasets. Training sessions are delivered…

Read More

The cost of not embarking on a customer 360 strategy

Categories: Analytic Database Partners

Gartner’s recently released report “Master Data Management Forms the Basis of a Trusted 360-Degree View of the Customer,” shares the results of an executive survey highlighting several key points, including that customer initiatives, are among CEOs’ top five priorities in 2018. The report includes numerous strategic recommendations and outlines the impact of a Master Data…

Read More

Turning petabytes of pharmaceutical data into actionable insights

Categories: Data Engineering Enterprise Data Hub General Open Source Software Operational Database

Authors: Mai N. Nguyen, Accenture & Mitch Gomulinski, Cloudera Imagine storing the DNA of the entire population of the US – and then cloning them, twice. That’s the equivalent of 1 petabyte (ComputerWeekly) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that…

Read More

Building the Modern Platform with Cloudera Enterprise 6.x

Categories: Data Engineering Enterprise Data Hub Shared Data Experience

Why Enterprises Need to Unify ML, Analytics, and Cloud Times are changing, and the traditional models of analytics and data management don’t serve the needs of the modern enterprise, so the way to address these topics is changing too. While organizations are moving more workloads to the cloud, many mission-critical workloads remain on-prem. End users,…

Read More