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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Summary Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. With Materialize, you can!

Building 162
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Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

SQL 173
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5 Layers of Data Lakehouse Architecture Explained

Monte Carlo

Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

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Data Lakehouse Architecture Explained: 5 Layers

Monte Carlo

Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

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Data Integrity vs. Data Quality: 4 Key Differences You Can’t Confuse

Monte Carlo

Data integrity and quality may seem similar at first glance, and they are sometimes used interchangeably in everyday life, but they play unique roles in successful data management. Impact Now that you understand the purpose of data integrity and data quality, what is their impact on data management and decision-making?

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5 ETL Best Practices You Shouldn’t Ignore

Monte Carlo

Ensure data quality Even if there are no errors during the ETL process, you still have to make sure the data meets quality standards. High-quality data is crucial for accurate analysis and informed decision-making. Ready to leap to the next level of data management prowess?

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Troubleshooting Kafka In Production

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.

Kafka 245