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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Article: Innovation Startups Modeling Agile Culture

InfoQ Culture Methods

Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. To mix the power of the data and the importance of people to offer business intelligence is a key point nowadays. To be agile is to adapt to today's market.

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Building a vision for real-time artificial intelligence

CIO

He had been trying to gather new data insights but was frustrated at how long it was taking. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. A unified data ecosystem enables this in real time.

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P&G turns to AI to create digital manufacturing of the future

CIO

We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. This, in turn, improves cycle time, reduces network losses, and ensures quality, all while improving operator productivity.

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Key Data Engineer responsibilities

Apiumhub

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

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Belcorp reimagines R&D with AI

CIO

“These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

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Driving Agility and Scalability through Smart Data

Cloudera

Industrial innovations are expected to create up to $3.7 Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. data is generated – at the Edge. Benefits of Streaming Data for Business Owners. Unpredictable Data Volume and Flow.