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Monitoring dbt model and test executions using Elementary Data

Xebia

Let’s imagine we are running dbt as a container within a cloud run job (a cloud-native container runtime within Google Cloud). Every morning when all the raw source data is ingested, we spin up a container via a trigger to do our daily data transformation workload using dbt.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Steef-Jan is a board member of the Dutch Azure User Group, a regular speaker at conferences and user groups, and he writes for InfoQ, and Serverless Notes. Twitter: [link] Linkedin: [link]. Twitter: ??

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The Good and the Bad of Apache Airflow Pipeline Orchestration

Altexsoft

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

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Technology Trends for 2022

O'Reilly Media - Ideas

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Even on Azure, Linux dominates. That’s not surprising.

Trends 110
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Five Takeaways from HashiConf US 2019: Building Infrastructure in a Multi-* World

Daniel Bryant

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?

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Delivering the Next Generation of AI with DataRobot AI Cloud

DataRobot

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle.

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