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The Rise of the Data Engineer

Maxime Beauchemin

Data modeling is changing Typical data modeling techniques — like the star schema  — which defined our approach to data modeling for the analytics workloads typically associated with data warehouses, are less relevant than they once were.

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Bringing Automation To Data Labeling For Machine Learning With Watchful

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. That’s where our friends at Ascend.io

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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services.

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Every Company is Becoming a Software Company

Confluent

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

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Data Engineering Weekly #186

Data Engineering Weekly

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI.

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How to manage and schedule dbt

Christophe Blefari

But this article is not about the pricing which can be very subjective depending on the context—what is 1200$ for dev tooling when you pay them more than $150k per year, yes it's US-centric but relevant. It can be deployment in all environment or as a lot of data only in production, because only production exists.

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Introducing CDP Data Engineering: Purpose Built Tooling For Accelerating Data Pipelines

Cloudera

To tackle these challenges, we’re thrilled to announce CDP Data Engineering (DE) , the only cloud-native service purpose-built for enterprise data engineering teams. Native Apache Airflow and robust APIs for orchestrating and automating job scheduling and delivering complex data pipelines anywhere.