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AI Doesn’t Have To Be That Hard, Fivetran CEO Says Complexity seems to be part and parcel of the AI game these days. New technologies demand new tools and new platforms, with a host of new skills to ...
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 ...
The latest breaking news in big data, curated by our experienced editorial team In-depth analysis of the latest data trends and how they impact your data team Interviews with leaders making big data ...
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 ...
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, ...
It’s possible that Marche was off a bit in his timing. For starters, schools have already started to respond to the plagiarism threat posed by ChatGPT, with bans in place in public school districts in ...
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 ...
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 ...
2024 marks the ninth year of Datanami’s – now BigDATAwire‘s – People to Watch Program, which recognizes the people who play leading roles in driving innovation in big data, advanced analytics, and AI.
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 ...
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 ...
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 ...
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