Continuous Delivery Continuous Integration Data Engineering 
Cloudera
APRIL 14, 2021
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. .
Cloudera
NOVEMBER 19, 2021
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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Altexsoft
JULY 23, 2020
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.
CircleCI
JULY 29, 2022
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?
Apiumhub
NOVEMBER 17, 2022
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”.
O'Reilly Media - Ideas
MARCH 1, 2023
Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. Data engineering was the dominant topic by far, growing 35% year over year. Data engineering deals with the problem of storing data at scale and delivering that data to applications.
Altexsoft
FEBRUARY 10, 2021
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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