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Introducing CDP Data Engineering: Purpose Built Tooling For Accelerating Data Pipelines

Cloudera

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

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How to Sell the Business on Data Virtualization

TIBCO - Connected Intelligence

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. Data virtualization presents a compelling financial case.

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Keys to AI Success for IT Staff

DataRobot

Typical IT departments work with dozens of evolving language and framework combinations and hardware modifications. Thus, you can modify a model when needed without changing the pipeline that feeds into it — providing a data science improvement without any investment in data engineering. . 10 Keys to AI Success in 2022.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Laurent Picard – Developer Advocate @Google Laurent is a developer passionate about software, hardware, science, and everything shaping the future. In a past life, he worked on educational solutions, pioneered the ebook industry, and co-founded Bookeen. Twitter: [link] Linkedin: [link]. Twitter: ??

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Technology Trends for 2023

O'Reilly Media - Ideas

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence.

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10 Platforms for Getting Started with Machine Learning

UruIT

MathWork focused on the development of these tools in order to become experts on high-end financial use and data engineering contexts. Also, its solid presence in data science and machine learning software marketplace has allowed it to build a strong user base and customer relations. ” TL;DR.

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Machine Learning basics: 10 Platforms to start learning and get awesome at it

UruIT

You can easily access our free eBook here: . MathWork focused on the development of these tools to become experts in high-end financial use and data engineering contexts. It includes accessible tools to automate DevOps for ML, collaborate across various internal teams, and optimize hardware usage.