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Data Engineering Weekly #167

Data Engineering Weekly

link] Github: 4 ways GitHub engineers use GitHub Copilot The impact of LLM on software development is undeniable. Github shares some insights on how Github engineers use Github Copilot. The blog post brings in-depth insights into how Apache Hudi works on the right side, read side & underlying storage formats.

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Data Engineering Weekly #166

Data Engineering Weekly

dbt: 2024 State of Analytics Engineering The 2024 dbt’s state of analytical engineering report is out. Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises.

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Data Engineering Weekly #161

Data Engineering Weekly

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

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What is Remote Access Trojan (RAT)? Types, Variants, Uses

Knowledge Hut

In cybersecurity, Remote Access Trojans (RATs) have become a major concern for individuals and businesses alike. What is Remote Access Trojan (RAT)? A Remote Access Trojan (RAT) is a stealthy malware that grants unauthorized access and control of a victim's device. So, what exactly is the RAT?

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Inside Pollen's Software Engineering Salaries

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one and a half out of eight topics in today’s subscriber-only issue, Inside Pollen's Transparent Compensation Data. Here are a few details from the data points, focusing on software engineering compensation.

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Data Engineering Weekly #151

Data Engineering Weekly

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Github writes an excellent blog to capture the current state of the LLM integration architecture. Lackluster AI/ML results often stem from poor data quality.

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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. GPT models change data in simple language and also provide summaries and explanations. One can rely on this information.