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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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Should you build or buy generative AI?

CIO

To get good output, you need to create a data environment that can be consumed by the model,” he says. You need to have data engineering skills, and be able to recalibrate these models, so you probably need machine learning capabilities on your staff, and you need to be good at prompt engineering.

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Why Are We Excited About the REAN Cloud Acquisition?

Hu's Place - HitachiVantara

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform.

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Cloud Certification Guide: How to Master & Showcase Your Expertise in AWS, Azure, & Google Cloud

ParkMyCloud

Additionally, they must be able to implement and automate security controls, governance processes, and compliance validation. Individuals will prove their understanding of cloud concepts, Azure pricing and support, core Azure services, as well as the fundamentals of cloud privacy, security, trust and compliance. .

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What is Microsoft Fabric? A big tech stack for big data

InfoWorld

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

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

CIO

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. At Paris-based BNP Paribas, scattered data silos were being used for BI by different teams at the giant bank.

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Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

You can leverage Kubernetes (K8s) and containerization technologies to consistently deploy your applications across multiple clouds including AWS, Azure, and Google Cloud, with portability to write once, run anywhere, and move from cloud to cloud with ease. Read why the future of data lakehouses is open.

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