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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?

Data Lake 130
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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

Systems 100
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Automating Your Production Dataflows On Spark

Data Engineering Podcast

Sean Knapp founded Ascend to address the operational challenges of running a production grade and scalable Spark infrastructure, allowing data engineers to focus on the problems that power their business. Can you describe any limitations that are imposed by your selection of Spark as the processing engine?

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SnowflakeDB: The Data Warehouse Built For The Cloud

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. When is SnowflakeDB the wrong choice?