BIG DATA INTEGRATION

Developing your data integration software in-house is risky. Here are the top 5 risks and why outsourcing your development could be better in the long run.

With a deluge of information (and more arriving every day), how can you get data from multiple sources efficiently and unlock the hidden insights that it contains?

What are data integration and data analytics, and why is data integration such a key component of companies’ data analytics workflows? Read more in our article.

Are you thinking of using a customer data platform as your data warehouse? Check out the pros and cons of having your CDP be your data warehouse.

What is a customer data platform (CDP), and how can you use a CDP as your data warehouse? Here’s everything you need to know about CDPs and data warehouses.

In this guide, we help you understand what to look for in a CDP platform. Then we review our favorite CDPs for 2023 and beyond—including Segment, Bloomreach Engagement, Blueshift, and...

Data management is only as effective as the quality of your data, but how does data integration ensure data integrity and actionable business insights?

For many years now, vendors and consultants have avoided the practice of data integration. Integrating data is complex. Systems are often undocumented, which makes searching for them difficult.

A comprehensive look at Cassandra vs MongoDB, two of the most popular NoSQL databases, and how they differ.