Many businesses are turning to data center as a service providers to efficiently store and process their critical data. However, with this transition comes a new set of security considerations, and ...

The data management discipline known as data integration (DI) has undergone an impressive expansion over the last decade. Today it has reached a critical mass of multiple techniques used in diverse ...

Organizations that use prepackaged ERP/CRM, custom, and third-party applications are seeing their production databases grow exponentially. At the same time, business policies and regulations require ...

Machine learning, or ML, is growing in importance for enterprises that want to use their data to improve their customer experience, develop better products and more. But before an enterprise can make ...

Best practices for AI data center projects vary based on community needs and location, but experts agree more of one thing can help to support a successful build: transparency. “The AI revolution ...

While popular advancements in data science, machine learning (ML), and AI have been at the forefront of data-centric business, data engineering is the metaphorical match that keeps these exciting ...

Use this list of best practices for establishing and maintaining data governance within your organization. The volume of data that the world produces has risen exponentially in recent years. In 2020, ...

From establishing team leaders to understanding your own data, there’s a lot to keep in mind when developing a well-thought-out data governance strategy. However, with the right team and know-how, a ...

To gain success from a data-driven culture, the data you’re working with must be clean, making data hygiene an important part of gaining actionable insights. Data is an absolute necessity in today’s ...