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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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Top 8 IT certifications in demand today

CIO

To qualify, you need at least five years of experience in IS auditing, control, or security and must complete another entry-level exam through the ISACA certification scheme. You’ll need at least five years of cumulative, paid work experience in two or more of the eight domains included in the (ISC)² CISSP Common Body of Knowledge (CBK).

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What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

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Technology Trends for 2024

O'Reilly Media - Ideas

It’s now used in operating systems (Linux kernel components), tool development, and even enterprise software. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% Designing enterprise-scale data storage systems is a core part of data engineering.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties: . Data and Metadata: Data inputs and data outputs produced based on the application logic.

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6 Frontiers for Data Virtualization in 2021

TIBCO - Connected Intelligence

Imagine you’re a data engineer at a Fortune 1000 company. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion. But first-generation data virtualization tools are designed for data at rest.

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The Good and the Bad of Docker Containers

Altexsoft

These are different environments that use different operating systems with different requirements. With Docker, applications and their environments are virtualized and isolated from each other on a shared operating system of the host computer. The Docker daemon is a service that runs on your host operating system.