For more than three decades, Microsoft SQL Server has helped countless organizations store and manage their enterprise data, and it’s still one of the most widely used software applications on the planet. According to the DB-Engines database ranking, SQL Server remains the third most popular database management system, just behind Oracle and MySQL. Change data capture (CDC) is essential functionality for many businesses, especially those with real-time ETL use cases.

Gamers are not shy about reaching into their wallets for premium content and features. They also won’t hesitate to tap the uninstall button at the first sign of trouble. It’s not uncommon for a gamer to boot up a hotly anticipated new game or revisit an old favorite only to put it down days or weeks later. The culprit is often gaming monetization issues that get in the way of what would otherwise be a long-term rewarding gaming experience.

Enterprise Resource Management (ERP) software. Business professionals have heard of it, but they may not understand how it can help their business. In short, an ERP gathers data from multiple departments, including accounting, human resources, sales and marketing, and inventory, into a central database. This database then allows members of management and other key employees to analyze their current processes, spot workflow weaknesses, and improve them.

Soft skills can be almost as important as data engineering skills when you apply for a job. Soft skills can make the difference between stress and efficiency or being unsatisfied with your position and a raise. When data engineers and data scientists earn bachelor’s degrees, they usually take classes in topics like data warehousing, programming languages, machine learning, and data science.

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Gartner recognizes Fivetran as the “vendor of choice” for enterprises looking to modernize their data infrastructure.

With Databox, Achieve moved from a manual process of tracking data to one that allows them to motivate their team, eliminate room for errors, and ultimately make improvements.

Analyzing Return User Behaviour helps you optimize your site for better engagement and more conversions.

Data collections and analysis is critical to ongoing business operations, but maintaining data integrity is an often overlooked problem. Ensuring data integrity is not only a consumer trust issue, but is often also mandated by legal regulations. Without accurate data, business leaders could make decisions that are slightly (or majorly) misguided.