Tag Archives: Spark

Simplifying Big Data in the Cloud

Categories: Cloud Data Engineering Product Spark

In recent years, as public cloud adoption has accelerated and customers have started looking towards cloud for large-scale data workloads, we sought to reimagine how to most effectively offer Cloudera capabilities in the cloud. Our customers wanted to understand how to leverage the agility, scale, and ease-of-use offered by the cloud to efficiently and cost-effectively…

Read More

Omneo’s Journey to an Enterprise Data Hub

Categories: Enterprise Data Hub Success Stories

Omneo Enterprise Data Hub The Omneo team embarked on a journey into Big Data to solve a complex problem, to bring product quality intelligence to manufacturers in a complex supply chain. The challenge encompassed several primary aspects including, multiple distributed data sources, heterogeneous data sets, lack of a consistent or common industry format for data,…

Read More

What To Consider When You’re Considering Cloud

Categories: Analytic Database Cloud Data Engineering Data Science Operational Database Spark

In a blog posted earlier this week, my esteemed colleague Sean Anderson laid out a powerful argument for machine learning (ML) as a way to fuel recommendation engines, churn reduction engines, and IoT workflows. Leveraging components like Apache Spark, and its machine-learning libraries, data scientists are able to design and train complex models using troves…

Read More

Apache Spark Market Survey (Part 1 of 2)

Categories: Spark

As an IT industry analyst (and former technical product manager), I’m always fascinated with how enterprises large and small adopt new technologies. What does it take for a new solution to not only present a compelling opportunity, but also prove itself ready for prime time? What separates out the eventual market dominating solution from all…

Read More