How to Run Spark Over Kubernetes to Power Your Data Science Lifecycle

Spark is known for its powerful engine which enables distributed data processing. It provides unmatched functionality to handle petabytes of data across multiple servers and its capabilities and performance unseated other technologies in the Hadoop world. Although Spark provides great power, it also comes with a high maintenance cost. In recent years, innovations to simplify the Spark infrastructure have been formed, supporting these large data processing tasks.

Fundamentals for Success in Cloud Data Management

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Data architects deal with constantly evolving workloads and business analysts must balance the urgency and importance of a concurrent user population that continues to grow.

Covid-19 Accelerates The Need for Retail, Manufacturing Supply Chains To Adapt

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions.

Strength in Numbers: Why Crowdsourcing Works!

The heat of summer and the smell of fresh-cut grass triggers many memories. I feel a sense of yearning from those memories, particularly as I know, during normal times, the college football season has begun. It’s been many years – too many to mention here – since I last played. The sense of anticipation persists, as it is this time of year the team would gather for camp.

Cloudera Named Leader in The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020

Cloudera has been named a Leader in The Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. At Cloudera, we are committed to always staying at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely.

Data Champions: Balancing IT and Business Needs

Digital transformation has been on the agenda for a long time, but the sudden need to respond to the unprecedented challenges of 2020, has meant the buzzword has become an executable reality for many enterprises. I recently came across a KPMG report that revealed that 80% of executives are increasing investments on emerging technologies now, to drive higher realized value in the future. Underlying digital transformation and investment decisions is a precious asset: data.