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(ﾉ◕ヮ◕)ﾉ*:･ﾟ✧ ✧ﾟ･: *ヽ(◕ヮ◕ヽ) helping robots conquer the earth and trying not to increase entropy using Python, Big Data, Machine Learning http://luminousmen.com License: CC BY-NC-ND 4.0
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Publicaciones del Canal
Conflicts are inevitable, especially at work. If you find yourself in one, you can take this general approach to how to resolve it, hopefully successfully
https://luminousmen.com/post/handling-conflicts
| 2 | Apache Spark supports loading data from tables using JDBC, but sometimes engineers use this interface blindly without thinking that it is not optimized by default
https://luminousmen.com/post/spark-tips-optimizing-jdbc-data-source-reads/ | 323 |
| 3 | Amazon EMR Serverless is a new deployment option in Amazon EMR that makes it easy and cost-effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. With EMR Serverless, you can run applications built using open-source frameworks such as Apache Spark, Hive, and Presto without having to configure, manage, optimize, or secure clusters.
https://youtu.be/i6jH-QjFuGA | 542 |
| 4 |  In this article Uber writes about the details of current Apache Spark shuffle implementation. And its presenting their own implementation of Spark shuffle service with Remote Shuffle Service (RSS). The blog narrates how RSS works and its efficiency in solving reliability & scalability issues. Recommended read!
https://eng.uber.com/ubers-highly-scalable-and-distributed-shuffle-as-a-service/ | 103 |
| 5 | Sometimes, it is difficult to determine what the original dependencies of a Python application (pip-based) are, a new pip feature - constraints file is a way to solve this problem.
https://luminousmen.com/post/pip-constraints-files | 75 |
| 6 | Databricks MLflow 2.0 with MLPipeline that can orchestrate ML pipelines with a YAML file to configure used algorithm, evaluation criteria, and column you write the prediction
https://databricks.com/blog/2022/06/29/introducing-mlflow-pipelines-with-mlflow-2-0.html | 108 |
| 7 | The hardware component of concurrency is always left untouched when explained in any of the books on the subject. In this post we will overview the levels of parallel hardware.
An excerpt from Grokking Concurrency by Kirill Bobrov
https://luminousmen.com/post/multiple-levels-of-parallel-hardware | 77 |
| 8 | Making CI great again with Github Actions
https://luminousmen.com/post/making-ci-workflow-faster-with-github-actions | 84 |
| 9 | I believe that there needs to be a paradigm shift in thinking from quality assurance to quality assistance in the entire team involved in product development
https://luminousmen.com/post/quality-is-the-responsibility-of-the-team | 113 |
| 10 | At the last Re:Invent AWS announced a new EMR Serverless service. It's not really a new service, it's just another deployment option for the old EMR service which lets you not have to think about configuring a cluster. But it's not that simple, more in the post:
https://luminousmen.com/post/emr-serverless-a-400level-guide | 389 |
| 11 | For the past 6 months or so, I've been busy working with the folks at Manning Publications to create a cool little survival guide that will help engineers pass the concurrency jungle. I am proud to announce my book is now available for early access! Save 50% by using the code 'mlbobrov'
Link: http://mng.bz/06eW | 139 |
| 12 | A little bit of rumbling about TDD
https://luminousmen.com/post/rumbling-about-test-driven-development | 212 |
| 13 | A challenge of running the data analytics org is the help desk style request known as can you pull the data real quick! The author explains why one can't simply pull the data quickly, highlighting real-world data problems.
https://motifanalytics.medium.com/why-cant-you-pull-data-real-quick-318f90024712 | 272 |
| 14 | Sin texto... | 309 |
| 15 | How to properly do pair programming with Bitbucket
Spooning | 288 |
| 16 | Have you ever committed an SSH private key, a password file or any sensitive data to your repository before? If yes, this post maybe useful to you
https://luminousmen.com/post/delete-sensitive-data-from-git | 298 |
| 17 | A little about CloudFormation to brighten your day
https://luminousmen.com/post/a-very-quick-introduction-to-the-pain-of-aws-cloudformation | 309 |
| 18 | "Before you are a leader, success is all about growing yourself. When you become a leader, success is all about growing others." — Jack Welch
https://luminousmen.com/post/first-rule-of-the-leader | 367 |
| 19 | Streamlit for rapid prototyping is awesome for data apps. In a few lines of code you can create quite a complex UI, with support for loading files and, it seems, all the currently existing libraries for rendering graphs.
No, just look how beautiful it is!
My app | 300 |
| 20 | https://eugeneyan.com/writing/first-rule-of-ml/ | 336 |
