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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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Edge Computing Requires DevOps at Scale

DevOps.com

The rise of edge computing will drive a long-overdue convergence of DevOps, data engineering, security, networking, OT and MLOps best practices.

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Here’s where MLOps is accelerating enterprise AI adoption

TechCrunch

In the early 2000s, most business-critical software was hosted on privately run data centers. DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers.

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Enhancing the Business Strategy with Data Engineering Solutions

Trigent

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Workshop video modules include: Breaking down data silos. Integrating data from third-party sources. Developing a data-sharing culture. Combining data integration styles. Translating DevOps principles into your data engineering process. Using data models to create a single source of truth.

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Integrate VSCode With Databricks To Build and Run Data Engineering Pipelines and Models

Dzone - DevOps

Databricks is a cloud-based platform designed to simplify the process of building data engineering pipelines and developing machine learning models. It offers a collaborative workspace that enables users to work with data effortlessly, process it at scale, and derive insights rapidly using machine learning and advanced analytics.

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DevOps in a data science world

Xebia

Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. What is DevOps?

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