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 ...

While Hadoop and Hive aren’t inherently bad, they no longer represent the state of the art. For once, they are completely based on the JVM, which is incredibly performant nowadays, but still not the ...

Data quality isn’t the only concern. Other things that worry data professionals include ambiguous data ownership, poor data literacy, integrating multiple data sources, and documenting data products, ...

ORC, Parquet, and Avro are also machine-readable binary formats, which is to say that the files look like gibberish to humans. If you need a human-readable format like JSON or XML, then you should ...

Note that there are numerous web standard ontologies for data catalog, metadata, glossaries, and lineage that should be reused: DCAT to represent a data catalog; Dublin Core to represent metadata; ...

Last year’s report highlighted the growing need for companies to manage cloud spending, and that trend continues this year. More than a quarter of respondents (29%) spend over $12 million annually on ...

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 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 ...

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, ...

Databricks customers applauded the move, including AT&T and Nasdaq. “With the announcement of Unity Catalog’s open sourcing, we are encouraged by Databricks’ step to make lakehouse governance and ...

“Most new applications are built in the cloud and store their data in these cloud object stores. And organizations are moving quickly to ETL data from other applications such as operational databases ...

However, Anaconda did something interesting with that April 2020 change: It didn’t specify what “heavy commercial use” actually meant. The company decided to rely on the honor system because it was ...