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The Recommendation System at Lyft

Lyft Engineering

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

Systems 87
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CircleCI’s unnoticed holiday security breach

The Pragmatic Engineer

We also recommend customers review internal logs for their systems for any unauthorized access starting from December 21, 2022, through today, January 4, 2023, or upon completion of your secrets rotation. (.)We We take the security of our systems and our customers’ systems extremely seriously.

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The Data Janitor Letters - February 2022

Pipeline Data Engineering

Analytics Stacks for Startups Jan Katins, Senior IT Consultant/Data Engineer, kreuzwerker GmbH The stack should be relatively fast to implement (two weeks is possible), so you can quickly reap the benefits of having a data warehouse and BI Tooling in place or upload enriched data back to operational systems. What the hell happened?

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The Rise of Unstructured Data

Cloudera

Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. There are also proposals to move beyond bias-oriented framings of ethical AI, like the above, and towards a power-aware analysis of datasets used to train AI systems. Conclusions.

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Recap of Hadoop News for May 2017

ProjectPro

RecoverX is described as app-centric and can back up applications data whilst being capable of recovering it at various granularity levels to enhance storage efficiency. It is difficult to move data between HDFS and PFS so scientist who want to make the best use of analytics on Hadoop should copy the data from parallel file systems.

Hadoop 52
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Data Engineer Roles And Responsibilities 2022

U-Next

Introduction to 2022 Data Engineer Roles and Responsibilities. Data Engineers create a system that gathers, handles, and transforms unprocessed data into useful information that data researchers and Data Analysts may use to evaluate it in several contexts. . Companies and enterprises, large and small, are built on data.

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Kickstart Your 2023 with these 6 Articles – The Meltano Teams Favorite Data Articles of 2022

Meltano

At the end of 2022 we decided to collect the blogs we enjoyed the most over the year. He compared the SQL + Jinja approach to the early PHP era… […] “If you take the dataframe-centric approach, you have much more “proper” objects, and programmatic abstractions and semantics around datasets, columns, and transformations.