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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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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. Intended for individuals that have an expertise in network, compute, security and storage so that they can design solutions that run on Azure. Azure DevOps Engineer Expert. Azure Data Engineer Associate.

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

Cloudera

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. The new capabilities of Apache Iceberg in CDP enable you to accelerate multi-cloud open lakehouse implementations. Enhanced multi-function analytics.

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Altexsoft - Untitled Article

Altexsoft

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Is it still so?

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Technology Trends for 2024

O'Reilly Media - Ideas

Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% Data engineering deals with the problem of storing data at scale and delivering that data to applications. Interest in data warehouses saw an 18% drop from 2022 to 2023.

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