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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Transform launches with $24.5M in funding for a tool to query and build metrics out of data troves

TechCrunch

” The tool Airbnb built was Minerva , optimised specifically for the kinds of questions Airbnb might typically have for its own data. ” Image Credits: Transform (opens in a new window). How to ensure data quality in the era of Big Data. Transform is built around three basic priorities, Handel said.

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SQL for Data Engineering

Gorilla Logic

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. Window functions . Window functions are very useful if you want to run a calculation on a set of rows that are related in some way (ie.

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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning - AI

As long as the LookML file doesn’t exceed the context window of the LLM used to generate the final response, we don’t split the file into chunks and instead pass the file in its entirety to the embeddings model. The two subsets of LookML metadata provide distinct types of information about the data lake.

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Incremental Processing using Netflix Maestro and Apache Iceberg

Netflix Tech

To compensate for that, ETL workflows often use a lookback window, based on which they reprocess the data in that certain time window. For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing.

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Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

Netflix Tech

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

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Top 4 Reasons Why You Should Upgrade Your Stream Processing Workloads To CDP

Cloudera

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.