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Traditional Data Engineering Best Practices Aren’t Cutting It Anymore

The Data Administration Newsletter

I have been in data (in the fuzziest sense of the word) since about 2009, whether that means data engineering, management, analysis, strategy, or visualization. Over that time, things have changed drastically.

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Top 10 Generative AI Companies Revealed

Towards AI

· Code generation · Product development · Graphic design and video creation · Hyper-personalized communication · Streamlined content creation · Automated project management tasks · Enhanced business and employee management · 24/7 inquiry handling · Heightened customer support and service · Fraud detection and risk management · Generating synthetic (..)

AI 109
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Analyzing the history of Tableau innovation

Tableau

Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public.

Tableau 145
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Adapting to Change: Finding Opportunity in Crucible Moments

Alation

As the authors of a Harvard Business Review article, “Roaring Out of Recession” note, three years after the Great Recession of 2007–2009, the most recent period of global economic instability, 9% of companies didn’t simply recover — they flourished, outperforming competitors by at least 10% in sales and profit growth.

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Analyzing the history of Tableau innovation

Tableau

Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public.

Tableau 98
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Will private data work in a new-era AI world?

Dataconomy

Roman recalls: “ Back in 2009, when he started in the big data community, everyone talked about how enterprises would transform by leveraging data. Roman recalls the three epochs of data utilization concept within the enterprises: “ Obviously, it’s used for many decisions, which is why the whole business intelligence part exists.

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