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Data Pipelines Pocket Reference: Moving And Processing Data For Analytics

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Data Pipelines Pocket Reference: Moving And Processing Data For AnalyticsISBN13:9781492087830ISBN10:1492087831Author:Densmore, James (Author)Description:Data Pipelines Are The Foundation For Success In Data Analytics And Machine Learning Moving Data From Many Diverse Sources And Processing It To Provide Context Is The Difference Between Having Data And Actually Gaining Value From It This Pocket Reference Defines Data Pipelines And Explains How They Work In Today's Modern Data Stack You'll Learn Common Considerations And Key Decision Points When Implementing Pipelines, Such As Data Pipeline Design Patterns, Data Ingestion Implementation, Data Transformation, The Orchestration Of Pipelines, And Build Versus Buy Decision Making This Book Addresses The Most Common Decisions Made By Data Professionals And Discusses Foundational Concepts That Apply To Open Source Frameworks, Commercial Products, And Homegrown Solutions You'll Learn: What A Data Pipeline Is And How It Workshow Data Is Moved And Processed On Modern Data Infrastructure, Including Cloud Platformscommon Tools And Products Used By Data Engineers To Build Pipelineshow Pipelines Support Machine Learning And Analytics Needsconsiderations For Pipeline Maintenance, Testing, And Alerting Binding:Paperback, PaperbackPublisher:O'Reilly MediaPublication Date:2021-06-15Weight:0.45 lbsDimensions:Number of Pages:200Language:English

Price: 22.82 USD

Location: USA

End Time: 2024-11-05T16:39:33.000Z

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Data Pipelines Pocket Reference: Moving And Processing Data For Analytics

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Book Title: Data Pipelines Pocket Reference: Moving And Processing Data ...

Item Length: 7in

Item Height: 0.6in

Item Width: 4.3in

Author: James DENSMORE Pharmaceutical Laboratory

Publication Name: Data Pipelines Pocket Référence : Moving and Processing Data for Analytics

Format: Trade Paperback

Language: English

Publisher: O'reilly, Incorporated

Publication Year: 2021

Type: Textbook

Item Weight: 8 Oz

Number of Pages: 200 Pages

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