Systems | Development | Analytics | API | Testing

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.

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.

The FORTUNE 500 list by FORTUNE is one of those venerable institutions of the business world. Since 1955, FORTUNE has been portraying the shape of the U.S. economy through its annual top 500 companies.

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.

In this blog post, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. We are going to talk about encryption, authentication and authorization.

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.