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Data Engineering Weekly #161

Data Engineering Weekly

2) Why High-Quality Data Products Beats Complexity in Building LLM Apps - Ananth Packildurai I will walk through the evolution of model-centric to data-centric AI and how data products and DPLM (Data Product Lifecycle Management) systems are vital for an organization's system.

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Pandas 2.0: A Game-Changer for Data Scientists?

Towards Data Science

Although I wasn’t aware of all the hype, the Data-Centric AI Community promptly came to the rescue: The 2.0 There is nothing worst for a data flow than wrong typesets , especially within a data-centric AI paradigm. In the new release, users can rest to sure that their pipelines won’t break if they’re using pandas 2.0,

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Cloudera Customer Story

Cloudera

To enable LGIM to better utilize its wealth of data, LGIM required a centralized platform that made internal data discovery easy for all teams and could securely integrate external partners and third-party outsourced data pipelines. To realize this cohesive data vision, LGIM adopted Cloudera Data Platform (CDP) Public Cloud.

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Delivering Modern Enterprise Data Engineering with Cloudera Data Engineering on Azure

Cloudera

CDP Data Engineering offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual profiling, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams. . A key aspect of ETL or ELT pipelines is automation.

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Bringing Automation To Data Labeling For Machine Learning With Watchful

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. Data stacks are becoming more and more complex.

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CircleCI’s unnoticed holiday security breach

The Pragmatic Engineer

The first response has been frustration because of the chaos a breach like this causes: At a scaleup I talked with, infrastructure teams shut down all pipelines in order to replace secrets. Our customers are some of the most innovative, engineering-centric businesses on the planet, and helping them do great work will continue to be our focus.”

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LiveRamp Customers Build ‘Foundation of Identity’ With Snowflake Native Apps

Snowflake

Sometimes they need feedback on touchpoints very quickly, while other pipelines don’t need as much acceleration. Acadia, a digital media agency, wanted to accelerate end-to-end pipeline for its clients while also enhancing security for clients’ PII. One conversation quickly coming to the forefront is first-party data.