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You likely know what this means
even if you don’t know it in those words.
The hype cycle, as defined by Gartner, [which tracks it](https://www.gartner.com/en/chat/gartner-hype-cycle),
is that series of cyclical events
that happens around nearly all emerging technologies:
the breakthrough,
the “peak of inflated expectations,”
the disillusionment,
the period of actual serviceable uses of the tech,
and the time when it’s adopted.
That pinnacle is the groan time,
the moment Justin Bieber drops more than $1 million
on an NFT.
The moment Facebook buys Oculus.
The moment the bodega starts taking bitcoin
and you know you’ll never be able to escape this thing,
whatever it is.
This Is the Worst Part of the AI Hype Cycle
Angela Watercutter
[](https://data-flair.training/blogs/wp-content/uploads/sites/2/2016/05/Data-Read-Mechanism-in-HDFS.gif)
Data Read Operation in HDFS – A Quick HDFS Guide
DataFlair Team
**Data Minds** are *data producers* (predominantly Data engineers) who *build infrastructure and data products* for consumption by business users or end users.
**Business minds** are *data consumers* of this made-available data that *perform analysis* to aid in business decisions or strategies.
Both of these minds view data differently based on their roles, and their view of data quality is very different, as are their measurement and observations made.
Different personas ( Data Engineers, Scientists, Data Stewards, Data Analysts, etc.) look at the same data through different lenses; however, they still need to come together and collaborate to win.
This support of various personas is foundational and critical for better business outcomes and to enable organizations to become more data-driven.
What Is Modern Data Quality?
Vanitha
...catch up on these, and many more highlights
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