Data Management has never been more critical than today. As AI grows more prominent, data initiatives are more important than ever. As the digital age propels us forward, the need for robust DataOps strategies becomes evident. These strategies, however, are not devoid of challenges. Data-focused practitioners have a unique relationship with data. They are grappling […]
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 – […]
Data Observability and Its Impact on the Data Operations Lifecycle
The quality of the data you use in daily operations plays a significant role in how well you will generate valuable insights for your enterprise. You want to rely on data integrity to ensure you avoid simple mistakes because of poor sourcing or data that may not be correctly organized and verified. That requires the […]
DataOps: What It Is and What the Enterprise Gets Wrong
By 2025, the total amount of data created, captured, copied, and consumed globally is projected to reach more than 180 zettabytes. With this rapid growth, the ability to harness data for business impact is even more vital. To keep up with the exponential data growth and resulting challenges, data teams must adjust the way they operate. […]
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 […]
DataOps or Data Fabric: Which Should Your Business Adopt First?
There’s no shortage of buzzwords and phrases to define how an organization approaches and uses its data – with two of the most popular being DataOps and data fabric. For years, large enterprises have struggled to distinguish between the two and decide which is the right first choice to enable them to compete with data […]
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, […]
Is DataOps the Savior of Under-Pressure Analytics Teams?
DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. And many believe it could now finally be about to enter the mainstream. The number of data requests from the business keeps growing […]
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 […]