Remove Continuous Delivery Remove Continuous Integration Remove Data Engineering
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Cloudera Data Engineering – Integration steps to leverage spark on Kubernetes

Cloudera

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

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Make Your Models Matter: What It Takes to Maximize Business Value from Your Machine Learning Initiatives

Cloudera

An enterprise machine learning workflow from data engineers to business users. This means an ML model’s development, deployment, ongoing management and, ultimately, its sustained business value, hinge on a range of cross-functional team requirements: Data engineers need to make sure that the data is available, clean and up to date.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

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Run dbt tests in parallel with CI/CD

CircleCI

In the CLI version, you have full control of your data project configuration and the ability to publish documentation as needed, while dbt Cloud provides a user interface that sets up a few configurations for you and generates dbt documentation automatically. Why is dbt useful in data engineering and analysis?

Testing 98
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Apiumhub is delighted to support YOW! LONDON 2022

Apiumhub

Clare Sudbery – Independent Technical Coach specialized in TDD, refactoring, continuous integration, and other eXtreme Programming (XP) practices. Dave Farley – Pioneer of Continuous Delivery & Author of the books “Continuous Delivery” and “Modern Software Engineer”.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

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Analytics Engineer: Job Description, Skills, and Responsibilities

Altexsoft

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.