It seems that with more data comes more decisions, as well. The study found that 78% reported they are bombarded with more data from more sources than ever before, and 74% say the number of decisions ...

Additionally, Apache Hive, which marked a huge step forward in big data processing by abstracting away the underlying distributed nature of Hadoop and exposing a familiar SQL (-ish) table abstraction ...

Dbt isn’t the only vendor to find that data quality is getting worse. Data observability vendor Monte Carlo published a report a year ago that came to a similar conclusion. The vendor’s State of Data ...

To get the low down on this high tech, we tapped the knowledge of the smart folks at Nexla, a developer of tools for managing data and converting formats. Nexla CTO and co-founder Jeff Williams and ...

First, we’ll define and demystify these terms. Second, I’ll share some key business use cases that cannot be solved with traditional relational data catalogs. Finally, I’ll wrap it up by getting ...

The 13th edition of the annual Flexera State of the Cloud report was based on a survey of 753 cloud decision-makers and executive leaders from various industries including tech, cloud services, and ...

AWS has notified customers of its Amazon Aurora Serverless v1 service that it will cease supporting the offering at the end of 2024. Replacing v1 in the Aurora Serverless range, which supports ...

Data cleansing – fixing or discarding anomalous or wrong numbers and otherwise ensuring the data is an accurate representation of the phenomenon it is meant to measure — accounts for more than a ...

In this age of information, to say that the volume of data is exploding is a stark understatement. This big bang of big data is estimated to grow from 33 zettabytes in 2018 to 175 zettabytes by 2025, ...

That left the humble metadata catalog as the last piece standing between customers and their dream of a truly open data lakehouse. Databricks’ rival, Snowflake, addressed the potential lock-in of the ...

On the other side of the coin are object storage systems like Amazon Web Service ’s S3 and Microsoft Azure Data Lake Storage (ADLS), which provide very scalable and very inexpensive places to park ...

Anaconda created a stir over a year ago when it began charging large commercial users a fee for access to its popular collection of Python tools. The change, it said, was necessary to offset the costs ...