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End-to-End Data Engineering System on Real Data with Kafka, Spark, Airflow, Postgres, and Docker

Towards Data Science

This article is part of a project that’s split into two main phases. In the second phase, we’ll develop an application that uses a language model to interact with this database. To set-up and run these tools we will use Docker. Using these data engineering tools firsthand is beneficial. Overview of the data pipeline.

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Apache Spark Use Cases & Applications

Knowledge Hut

Apache Spark was developed by a team at UC Berkeley in 2009. Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. According to marketanalysis.com survey, the Apache Spark market worldwide will grow at a CAGR of 67% between 2019 and 2022.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Best Data Science certifications online or offline are available to assist you in establishing a solid foundation for every end-to-end data engineering project.

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Charting A Path For Streaming Data To Fill Your Data Lake With Hudi

Data Engineering Podcast

With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis. Vinoth Chandar helped to create the Hudi project while at Uber to address this challenge. Write some Python scripts to automate it? Then what do you do?

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Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

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. Sifflet also offers a 2-week free trial.

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DataOps For Streaming Systems With Lenses.io

Data Engineering Podcast

Summary There are an increasing number of use cases for real time data, and the systems to power them are becoming more mature. Once you have a streaming platform up and running you need a way to keep an eye on it, including observability, discovery, and governance of your data. That’s what the Lenses.io

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Unlocking The Power of Data Lineage In Your Platform with OpenLineage

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. What is the current state of the project?

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