Azure Data Factory

Azure Data Factory Cookbook: A data engineer's guide to building and managing ETL and ELT pipelines with data integration

Azure Data Factory Cookbook: A data engineer's guide to building and managing ETL and ELT pipelines with data integration by Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin
English | February 28, 2024 | ISBN: 1803246596 | 532 pages | EPUB | 50 Mb
Azure Data Factory Cookbook: Data engineers guide to build and manage ETL and ELT pipelines with data integration

Azure Data Factory Cookbook: Data engineers guide to build and manage ETL and ELT pipelines with data integration , 2nd Edition by Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin
English | March 11, 2024 | ISBN: 1803246596 | 450 pages | MOBI | 23 Mb

Introduction To Azure Data Factory  eBooks & eLearning

Posted by lucky_aut at Sept. 21, 2020
Introduction To Azure Data Factory

Introduction To Azure Data Factory
Duration: 51m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 370 MB
Genre: eLearning | Language: English

Learn Azure Data Factory from scratch.
Azure Data Factory Cookbook - Second Edition: A data engineer's guide to building and managing ETL and ELT

Azure Data Factory Cookbook - Second Edition: A data engineer's guide to building and managing ETL and ELT pipelines with data integration by Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin
English | February 28, 2024 | ISBN: 1803246596 | 532 pages | PDF | 135 Mb
Azure Data Factory Cookbook - Second Edition: A data engineer's guide to building and managing ETL and ELT

Azure Data Factory Cookbook - Second Edition: A data engineer's guide to building and managing ETL and ELT pipelines with data integration by Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin
English | February 28, 2024 | ISBN: 1803246596 | 532 pages | PDF | 135 Mb

Azure Data Factory Cookbook  eBooks & eLearning

Posted by hill0 at Dec. 25, 2020
Azure Data Factory Cookbook

Azure Data Factory Cookbook:
Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service
by Dmitry Anoshin

English | 2020 | ISBN: 1800565291 | 276 Pages | EPUB | 34 MB

Azure Data Factory Cookbook  eBooks & eLearning

Posted by hill0 at Jan. 28, 2021
Azure Data Factory Cookbook

Azure Data Factory Cookbook:
Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service
by Dmitry Anoshin

English | 2020 | ISBN: 1800565291 | 276 Pages | PDF MOBI EPUB | 128 MB

2 Real World Azure Data Engineer Project End to End  eBooks & eLearning

Posted by BlackDove at Feb. 8, 2022
2 Real World Azure Data Engineer Project End to End

2 Real World Azure Data Engineer Project End to End
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.42 GB | Duration: 4h 15m


Project Building from scratch including designing, architecting, implementing solution and overall testing.

Azure Data Factory: Hands on practical course (DP 200)  eBooks & eLearning

Posted by Sigha at Nov. 9, 2020
Azure Data Factory: Hands on practical course (DP 200)

Azure Data Factory: Hands on practical course (DP 200)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 3.22 GB
Genre: eLearning Video | Duration: 47 lectures (8 hour, 28 mins) | Language: English

Learn how to use Data Factory from scratch to set up automated data pipelines to and from on-premises and cloud sources.
Azure Data Factory by Example: Practical Implementation for Data Engineers, 2nd Edition

Azure Data Factory by Example: Practical Implementation for Data Engineers, 2nd Edition
English | 2024 | ASIN: B0CRH4NLW4 | 433 pages | True PDF,EPUB | 30.93 MB

Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components.