Successful data strategies are built on a foundation of meticulous data management, creating enterprise architectures that “democratize” data access and usage, yielding measurable results from machine ...

Like all big companies, Home Depot has a list of IT projects that it wants to tackle. When the COVID pandemic hit two years ago and ecommerce activity surged, it accelerated one of them in particular: ...

We are roughly a decade removed from the beginnings of the modern machine learning (ML) platform, inspired largely by the growing ecosystem of open-source Python-based technologies for data scientists ...

When Gartner published its latest “Hype Cycle for Emerging Technologies” last week, there was a notable absence of one broad class of technology in particular: big data. The reasoning behind the move ...

Data scientists spend about 45% of their time on data preparation tasks, including loading and cleaning data, according to a survey of data scientists conducted by Anaconda. The company also analyzed ...

If your data warehouse is starting to look like Miss Havisham’s decaying mansion, you may have a data quality problem. A new survey of 500 data professionals from open source data quality tool Great ...

Access to more information does not necessarily lead to better decision making, according to a new study from Oracle. Though 83% of those surveyed agree that access to more data should make decisions ...

With $274 billion in revenue last year and $3.3 trillion in assets under management, JPMorgan Chase has more resources than most to devote to building a winning data and AI strategy. But as James ...

A recent study of over 1,400 Spark users conducted by Databricks, the company founded by the creators of Spark, showed that compared to 2014, 56 percent more Spark users globally ran Spark Streaming ...

At its core, Artificial Intelligence (AI) is the product of two components –the first is data and the second is algorithms. Diverse types of algorithms exist, each potentially displaying a level of ...

MinIO was founded in 2014 near the peak of the Hadoop craze with what seemed like an outlandish idea: Build an open source object storage system based on Amazon S3. Eight years later, with a $1 ...

Data observability refers to the ability to comprehensively monitor and understand the behavior of data within a system. It provides transparency into real-time aspects of the data pipeline beyond ...