Alation
APRIL 14, 2023
In his talk, Mitesh revealed that Alation delivers useful information about data via metadata, and explored why context is key to building reliable data pipelines. How can data leaders respond? By slowing down, and gathering intelligence about the data in a platform like Alation.
O'Reilly on Data
APRIL 23, 2024
Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. But over time, something went very wrong. It appears to have worked—for now. I think not.
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DataKitchen
FEBRUARY 21, 2023
On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.”
AWS Big Data
NOVEMBER 29, 2023
These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.
Cloudera
FEBRUARY 15, 2024
While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008. It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008.
DataKitchen
FEBRUARY 2, 2023
We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? ’ They are data enabling vs. value delivery. What will exist at the end of 2025?
AWS Big Data
MARCH 27, 2024
Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.
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