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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. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

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IoT Analytics: The New Frontier in Business Intelligence

QBurst

The data engineering that precedes analytics was covered in our previous post, Data Engineering: The Heavy Lifting Behind IoT. Among the many sobriquets that the Internet of Things has acquired, none is more expressive than the term “Internet of Insights.”

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What does the new era of location intelligence hold for businesses?

TechCrunch

Prior to becoming CEO of Foursquare, Gary was MD of Raine, leading the technology practice with a focus on advisory assignments and principal investments in consumer internet, enterprise software and emerging technology. Share on Twitter.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. Also, he serves as the Program Director for Data science/Data Engineering Educational Program at Skillbox. Currently working for Hazelcast. Twitter: [link] Linkedin: [link].

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Network Traffic Intelligence for ISPs

Kentik

Internet Service Providers (ISPs) come in varying sizes, from rural broadband and small cable MSOs to Tier 2 players and Tier 1 global giants. Their customers might be consumers, businesses, or a mix of the two. Note that the above use cases cover network performance monitoring, planning, and business intelligence.

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