Data Engineering Best Practices

Bridge Demolition Engineering: Best Practices  eBooks & eLearning

Posted by yoyoloit at July 4, 2024
Bridge Demolition Engineering: Best Practices

Bridge Demolition Engineering
by Bridge Demolition Subcommittee;Josh Crain;Lisa Briggs;Sam Kevern;Chris Tollefson;

English | 2024 | ISBN: 0784416192 | 111 pages | True PDF | 8.85 MB

Mastering Cloud Architecture: Best Practices for Cloud Architects  eBooks & eLearning

Posted by TiranaDok at Sept. 28, 2024
Mastering Cloud Architecture: Best Practices for Cloud Architects

Mastering Cloud Architecture: Best Practices for Cloud Architects by Jörg Veidt
English | June 12, 2024 | ISBN: N/A | ASIN: B0D6Y9L1J6 | 44 pages | EPUB | 0.18 Mb

Mastering Cloud Architecture: Best Practices for Cloud Architects  eBooks & eLearning

Posted by TiranaDok at Sept. 28, 2024
Mastering Cloud Architecture: Best Practices for Cloud Architects

Mastering Cloud Architecture: Best Practices for Cloud Architects by Jörg Veidt
English | June 12, 2024 | ISBN: N/A | ASIN: B0D6Y9L1J6 | 44 pages | EPUB | 0.18 Mb

Practical Web Scraping for Data Science: Best Practices and Examples with Python  eBooks & eLearning

Posted by AvaxGenius at April 18, 2018
Practical Web Scraping for Data Science: Best Practices and Examples with Python

Practical Web Scraping for Data Science: Best Practices and Examples with Python By Seppe vanden Broucke
English | PDF,EPUB | 2018 | 313 Pages | ISBN : 1484235819 | 6.64 MB

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist’s arsenal, as many data science projects start by obtaining an appropriate data set.
Data Engineering with Scala and Spark: Build streaming and batch pipelines that process massive amounts of data using Scala

Data Engineering with Scala and Spark: Build streaming and batch pipelines that process massive amounts of data using Scala
by Eric Tome, Rupam Bhattacharjee
English | 2024 | ISBN: 1804612588 | 285 Pages | PDF (conv) | 12.4 MB

Implementing Site Reliability Engineering (SRE) Reliability Best Practices  eBooks & eLearning

Posted by IrGens at Sept. 16, 2021
Implementing Site Reliability Engineering (SRE) Reliability Best Practices

Implementing Site Reliability Engineering (SRE) Reliability Best Practices
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 52m | 199 MB
Instructor: Karun Subramanian

OpenAI: Prompt Engineering Best Practices  eBooks & eLearning

Posted by lucky_aut at Nov. 9, 2023
OpenAI: Prompt Engineering Best Practices

OpenAI: Prompt Engineering Best Practices
Duration: 56m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 188 MB
Genre: eLearning | Language: English
Software Engineering Best Practices: Lessons from Successful Projects in the Top Companies (Repost)

Capers Jones, "Software Engineering Best Practices: Lessons from Successful Projects in the Top Companies"
2009 | pages: 688 | ISBN: 007162161X | PDF | 3,5 mb

Machine Learning Infrastructure and Best Practices for Software Engineers  eBooks & eLearning

Posted by TiranaDok at Nov. 5, 2024
Machine Learning Infrastructure and Best Practices for Software Engineers

Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system by Miroslaw Staron
English | January 31, 2024 | ISBN: 1837634068 | 346 pages | PDF | 24 Mb

Prophecy Data Transformation Copilot For Data Engineering  eBooks & eLearning

Posted by Sigha at Aug. 20, 2024
Prophecy Data Transformation Copilot For Data Engineering

Prophecy Data Transformation Copilot For Data Engineering
Last updated 5/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.49 GB | Duration: 5h 19m

Learn Databricks and Spark data engineering to deliver self-service data transformation and speed pipeline development