The 2020 Spark+AI Summit 2020 organized by Databricks hosted 60,000 virtual attendees. The keynotes focused on technical updates such as data integration and quality, and included  multiple live...

According to Precisely’s definition of the term, data integration refers to the requirement to combine data from multiple separate business systems into a single unified view, often called a...

Could a multi-cloud architecture improve your data management strategy? That’s a question more and more companies are likely to ask themselves as multi-cloud computing grows in popularity. What...

Data socialization is one of the newest buzzwords in the world of data analytics and management. What does data socialization mean, and what can it do for you? Find out in this post. What is data...

Delivering an excellent user experience is essential to attracting and retaining customers. And although data management may not be the first thing that comes to mind when you think about optimizing...

Enterprises are facing incredible pressure to deliver returns on big data. There’s a need to expand capabilities while lowering the cost of infrastructure investments. For many enterprises, the...

This article on avoiding cloud vendor lock-in was originally published in Enterprise Tech Journal. Part one of this two part post focused on the separation-of-concerns designs principle and designing...

Snowflake has garnered attention for its architecture which allows for the separation of storage and compute which allows each piece to scale individually. In turn, it helps people share data in real...

Raise your hand if this situation sounds familiar: you need to make a decision right away based on the most accurate, up-to-date information. However, the information resides in a number of different...