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7 Lessons From GoCardless’ Implementation of Data Contracts

Monte Carlo

At the time, he was one of a very few people using the term “data contract.” Data contracts have since became one of the most discussed topics in data engineering. For posterity, we have preserved Barr’s forward that examines what was then a very nascent trend, but we have also added an updated data contract FAQ as an addendum.

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Java vs Python for Data Science in 2023-What's your choice?

ProjectPro

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Why do data scientists love Python for Data Science?

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Q&A Picnic Data Engineering Series

Picnic Engineering

The most important thing for a successful analytics strategy. Data Mesh, or Hub-and-Spoke? Is “lakeless” a thing!? … and other reflections on building data governance. Though many of the ongoing questions were already covered in the previous blog posts, a few warranted their own article. Any advice?

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Founding an Analytics Engineering Team

dbt Developer Hub

Strong data engineering and data analytics teams. A cloud data warehouse and an on-prem BI tool for front-end data visibility. A cloud data warehouse and an on-prem BI tool for front-end data visibility. Suddenly, “the truth” was hard to find as data sprawl increased. But what about the prologue?

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Data Engineering Weekly #130

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. However, Data Contract is a productivity software. Not all data is valuable.

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.