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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. How can you get the best results for your use case?

Building 162
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Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. 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. How can you get the best results for your use case?

Process 182
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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. Additionally, they needed the ability to experiment with streaming pipelines in batch mode.

Process 119
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Highest Paying Java Developer Jobs in Singapore in 2023

Knowledge Hut

Landing Java Developer jobs in Singapore with IT giants with little to no experience in this specific domain is a big challenge. Well, today, Java Developers are earning hefty, and Singapore appears to be a good marketplace for starting your career. This blog entails some of the highest-paying Java Developer jobs in Singapore.

Java 52
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Java Developer Salary in Singapore 2023 [Freshers & Experienced]

Knowledge Hut

Java is a common language used by over 10 million people worldwide in the software industry. From the banking industry to healthcare, stock, and retail, these industries depend on massive data relying on Java. From the banking industry to healthcare, stock, and retail, these industries depend on massive data relying on Java.

Java 52
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Building Real-time Machine Learning Foundations at Lyft

Lyft Engineering

On the flip side, there was a substantial appetite to build real-time ML systems from developers at Lyft. The Event Driven Decisions capability in particular turned out to be general enough as to be applicable to a wide range of use cases. One key component is the Analytics Event Abstraction layer.

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

Data Engineering Podcast

Building reliable data pipelines is a complex and costly undertaking with many layered requirements. In order to reduce the amount of time and effort required to build pipelines that power critical insights Manish Jethani co-founded Hevo Data. RudderStack helps you build a customer data platform on your warehouse or data lake.