AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Getting a consistent view of business performance across a large enterprise is a thorny problem. Often, global corporations lack a single definitive source of data related to customers or products.

In the current data-pushed landscape, clusters of petabytes of information per day are forcing business intelligence, tool mastery and operational analytics. The coronary heart of this infrastructure ...

Data integration and processing is a complex challenge enterprise IT organizations face when they manage microservices applications at scale. Modern microservices applications process data from a wide ...

Data science has become an important catalyst for innovation. With this, businesses can analyze massive amounts of data to derive insights, anticipate trends and make informed choices. But data ...

In the digital world, companies often have data stored across multiple platforms and systems. They must then be able to successfully integrate and analyze this data if they want to make informed ...

For data integration, pipelining, and wrangling data: Here are the seven types of tools you should build your data tool set from. Data doesn’t sit in one database, file system, data lake, or ...

In this data-driven age, enterprises leverage data to analyze products, services, employees, customers, and more, on a large scale. ETL (extract, transform, load) tools enable highly scaled sharing of ...

With every organization generating and accessing multiple data sources, an integration platform ensures every team has the data they need to drive the business forward. Data doesn’t sit in one ...

The Series E funding, which boosts the company’s valuation to $1.5 billion, will be applied to accelerating development work and expanding go-to-market initiatives and channel resources. Cloud data ...