Remove Accessible Remove Business Intelligence Remove High Quality Data Remove Pipeline-centric
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Creating Value With a Data-Centric Culture: Essential Capabilities to Treat Data as a Product

Ascend.io

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. Without them, data products can’t exist. Data sharing goes beyond simply making the data available.

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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. How fresh is the data? Can I see the pipeline? What is the lineage?

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The Rise of the Data Engineer

Maxime Beauchemin

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. Instead, Facebook came to realize that the work we were doing transcended classic business intelligence. In retrospect, complex SCD modeling techniques are not intuitive and reduce accessibility.