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

CIO

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 331
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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. Autoscaling speed and scale. And we didn’t stop there, CDE also introduced support for Apache Iceberg.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

Key elements of this foundation are data strategy, data governance, and data engineering. A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. This is the overarching guidance that drives digital transformation.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.

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The Right Stuff: The Role of MLOps in AI Success

CIO

Interestingly, many companies do just that, creating a disconnect between data science teams and IT/DevOps when it comes to AI development. The biggest divide between data scientists and IT often centers around the tools necessary to develop AI models. This gap is a significant reason why AI pilot projects fail. “AI

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Using Cloudera Data Engineering to Analyze the Paycheck Protection Program Data

Cloudera

The Paycheck Protection Program (PPP) is implemented by the US federal government to provide a direct incentive for businesses to keep their employees on the payroll, particularly during the Covid-19 pandemic. Data from the US Treasury website show which companies received PPP loans and how many jobs were retained.