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GPT-based data engineering accelerators

RandomTrees

GPT-based data engineering accelerators make the working of data more accessible. These accelerators use GPT models to do data tasks faster, fix any issues, and save a lot of time. These accelerators combine information from different sources. DataGPT OpenAI developed DataGpt for performing data engineering tasks.

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Data Engineering Weekly #120

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. I believe Data Contract is a technology solution to bring organizational change.

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

LinkedIn Engineering

In this case study, LinkedIn's Bingfeng Xia, Engineering Manager, and Xinyu Liu, Senior Staff Engineer, shed light on how the Apache Beam programming model's unified, portable, and user-friendly data processing framework has enabled a multitude of sophisticated use cases and revolutionized streaming processing at LinkedIn.

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Data testing tools: Key capabilities you should know

Databand.ai

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. of data engineer job postings on Indeed?

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Data Testing Tools: Key Capabilities and 6 Tools You Should Know

Databand.ai

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. Two of the most important categories are: Data validation tools: These solutions focus on verifying whether input data complies with specific criteria or rules defined by users.

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The Multifaceted Value Proposition of the Cloudera Data Platform

Cloudera

It builds on a foundation of technologies from CDH (Cloudera Data Hub) and HDP (Hortonworks Data Platform) technologies and delivers a holistic, integrated data platform from Edge to AI helping clients to accelerate complex data pipelines and democratize data assets. reduce technology costs, accelerate organic growth initiatives).