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How Data Reliability Engineering Can Solve Today’s Data Challenges

A 20-year-old article from MIT Technology Review tells us that good software “is usable, reliable, defect-free, cost-effective, and maintainable. And software now is none of those things.”  Today, most businesses would beg to differ. From payments to CRM to analytics and people operations, software runs everything.  Businesses rely on data to drive revenue and create better customer experiences – […]

How to Become a DataOps Engineer

DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]

Case Study: Executing an Effective Data Strategy

Few tasks are more logistically and technologically daunting than providing air, land, and sea transportation for the U.S. military across the entire world. Yet that is precisely the mission of the United States Transportation Command, or USTRANSCOM. According to a Congressional Research Service report, on any given day USTRANSCOM conducts over 240 air missions, sends […]

Data Management Trends in 2022

Data Management is about collecting, storing, and using data efficiently, securely, and in a cost-effective way. More and more, organizations are shifting to scalable Data Management platforms (in the cloud) to govern, secure, and analyze data. This allows them to process their business functions with a single unified platform. Data Management platforms provide increased control, […]

Data Operations and DataOps: Not One and the Same

Click to learn more about author John Pocknell. In today’s competitive enterprise landscape, having a proper DataOps strategy in place correlates with better data intelligence and optimization within an organization – breaking down silos and enabling data democratization and better business agility at scale. But DataOps as a methodology is not to be confused with data operations, which […]