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A Brief History of Data Lakes

Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the […]

Understanding DataOps

DataOps (data operations) has its roots in the Agile philosophy. It relies heavily on automation, and focuses on improving the speed and accuracy of computer processing, including analytics, data access, integration, and quality control. DataOps started as a system of best practices, but has gradually matured to a fully functional approach for handling data analytics. […]

The Benefits of Simplifying Data Access

Click to learn more about author Philip On. Data is one of the most valuable resources a company has, but for many it remains largely untapped. It’s stored in departmental silos, or because of overly complicated access, it remains locked behind the doors of data specialists.  Access to data needs to be simplified so that […]

Can Blockchain Eliminate the Data Silo?

Click to learn more about author Flip Filipowski. Data silos aren’t a new IT obstacle — they’ve been around since the dawn of internet businesses. Companies in the 21st century generally tend to innovate efficiently in the name of survival. With incredible strides in data technologies and Data Management, why haven’t data silos been kicked […]

How to Become a Data-Driven Enterprise

Click to learn more about author Matthew Baird. Over the past few years, becoming “data-driven” has emerged as a popular objective for organizations across a variety of industries. Simply put, being data-driven involves leveraging existing operational and customer data as well as external data sources for both tactical and strategic decision-making. Such an approach complemented […]