Sat.Aug 04, 2018 - Fri.Aug 10, 2018

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M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus

Uber Engineering

To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems at any given time. As part of our robust and scalable metrics infrastructure, we built … The post M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus appeared first on Uber Engineering Blog.

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Taking A Tour Of PostgreSQL with Jonathan Katz - Episode 42

Data Engineering Podcast

Summary One of the longest running and most popular open source database projects is PostgreSQL. Because of its extensibility and a community focus on stability it has stayed relevant as the ecosystem of development environments and data requirements have changed and evolved over its lifetime. It is difficult to capture any single facet of this database in a single conversation, let alone the entire surface area, but in this episode Jonathan Katz does an admirable job of it.

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The Value of Data for Philanthropy

Cloudera

The field of philanthropy is in constant search of the next big thing. And rightly so – our organizations must use limited resources as wisely as possible to try to tackle some of society’s most challenging problems. In recent years, we have heard a great deal about how new and sophisticated understanding of how to interpret the onslaught of data produced in the modern age could help us turn the corner on major social and environmental problems.

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Top 100 AWS Interview Questions and Answers for 2023

ProjectPro

Land your dream job with these AWS interview questions and answers suitable for multiple AWS Cloud computing roles starting from beginner to advanced levels. “I would like to become an AWS Solution Architect. What do you think are the most commonly asked AWS Architect Interview questions that I will have to answer during my interview?” We often get asked this question by beginners and professionals looking to land a top cloud computing gig.

AWS 40
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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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The Future of Data Science

Zalando Engineering

Debunking the myth of the data science bubble We’ve all read articles indicating the looming decline of data science. Some coined the term ‘data science bubble,’ some even went so far as set a date for the ‘death of data-science’ (they give it five years before the bubble implodes). This reached a point where anyone working in the field needed to start paying attention to these signals.