Data Engineering Podcast

MARCH 17, 2024

Summary A significant portion of data workflows involve storing and processing information in database engines. Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destination speak different dialects of SQL. In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data.

Database 147

Database Data Lake High Quality Data Data Workflow 147

Data Engineering Weekly

MARCH 17, 2024

Stephanie Kirmer: Uncovering the EU AI Act Large language models have taken the world by storm, and every country is trying to evaluate its potential impact. India recently announced that all AI apps require government approval and dropped the plan later. On similar trends, the article navigates to the complex EU AI Act, recently passed by the European Parliament, which introduces comprehensive regulations for machine learning models impacting EU citizens, focusing on mitigating risks to health,

Data Engineer 72

Data Engineer Data Engineering Engineering Kafka 72

Towards Data Science

MARCH 17, 2024

Outlining strategies and solution architectures to incrementally load data from various data sources.

Data Engineer 68

Data Engineer Data Engineering Engineering Data Science 68

Rock the JVM

MARCH 17, 2024

Unlock the full potential of functional parallel processing: A hands-on guide to accelerating performance with Scala and Cats Effect fibers

Scala 52

Scala Programming Process 52

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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