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Data Engineering Weekly #170

Data Engineering Weekly

Ken Liu: Machine Unlearning in 2024 One of the insightful articles is about the growing adoption of one large language model and the challenge it brings to machine unlearning. Uber wrote an in-depth article about the evolution of its centralized ML platform, Michelangelo.

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Meet the 2024 Snowflake Startup Challenge Finalists

Snowflake

BigGeo Crunching vast amounts of geospatial data is an intimidating, resource-consuming task. BigGeo is looking to remove the intimidation factor and give companies immediate, interactive geospatial insights. BigGeo is looking to remove the intimidation factor and give companies immediate, interactive geospatial insights.

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Four Vs Of Big Data

Knowledge Hut

Big data has revolutionized the world of data science altogether. With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. Learn more about the 4 Vs of big data with examples by going for the Big Data certification online course.

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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. One potential source is data sharing.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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What Is MLOps?

Edureka

In today’s data-driven world, machine learning models play a huge role in developing sectors like healthcare, finance, transport, e-commerce, and so on. It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end lifecycle of machine learning applications.

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Data Engineering Weekly #166

Data Engineering Weekly

Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.