Remove 2015 Remove Big Data Remove Business Intelligence Remove Data Engineering
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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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What is data analytics? Analyzing and managing data for decisions

CIO

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics salaries.

Analytics 338
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Immuta raises $1.5M to manage the chaos of big data systems

CTOvision

RESTON, VA – July 09, 2015: Sequoia Apps, the new venture investment arm of Sequoia Holdings, Inc announced today that it has closed its first series seed investment in Immuta, Inc. Immuta, a next-gen enterprise data management platform provider, recently closed a heavily oversubscribed seed round, led by Blu Venture Investors, LLC. “We

Big Data 114
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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 130
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Doing Business in a Big Data World

Strategy Driven

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

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The Good and the Bad of Docker Containers

Altexsoft

If you are a programmer, a DevOps , a data engineer , or any other specialist who wants to use Docker in projects, you should have a clear roadmap of how to get started with this technology. The Good and the Bad of the SAP Business Intelligence Platform. Among them are containerd, kaniko, and BuildKit.