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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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GoDataFest 2022: Google Cloud Data Platform Workshop

Xebia

“What makes GoDataFest so entertaining is the wide range of attendees that turn up, coming from different backgrounds, fields, and jobs, but with one common interest which is Data. You have data engineers, data scientists, people who are more focused on analytics, and so on. See you next year! .

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

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Astronomer ready for its next mission after Datakin acquisition, $213M Series C

TechCrunch

At that time, the scrappy data analytics company had scooped up $3.5 million in funding to develop its tool for what happens after you’ve collected a bunch of data, namely assembling and organizing it so the data can be analyzed. to make data analytics more accessible. Image Credits: Astonomer.

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Data observability startup Metaplane lands investment from YC, others

TechCrunch

In a large-scale survey of IT decision makers published last September, 75% of the respondents said they expected to increase their observability spend in 2022 “significantly” to better plan, deploy and run software. “Every day, executives are making decisions based on data that is incorrect. .

Data 241
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The rise of the data lakehouse: A new era of data value

CIO

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. You can intuitively query the data from the data lake.

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