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Titlebook: Management of the Cricketing Ecosystem; An Analytic Approach Subhasis Ray Book 2022 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-23 10:42:01 | 只看該作者
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發(fā)表于 2025-3-23 16:55:22 | 只看該作者
Subhasis Rayable design patterns and best practices for the cloudBuild scalable ETL data pipelines in the cloud using Azure Data Factory’s Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices usi
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發(fā)表于 2025-3-23 21:36:12 | 只看該作者
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發(fā)表于 2025-3-24 00:52:59 | 只看該作者
Subhasis Ray an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF’s code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the d
15#
發(fā)表于 2025-3-24 05:16:35 | 只看該作者
Subhasis Rayable design patterns and best practices for the cloudBuild scalable ETL data pipelines in the cloud using Azure Data Factory’s Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices usi
16#
發(fā)表于 2025-3-24 09:58:19 | 只看該作者
Subhasis Rayable design patterns and best practices for the cloudBuild scalable ETL data pipelines in the cloud using Azure Data Factory’s Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices usi
17#
發(fā)表于 2025-3-24 10:52:15 | 只看該作者
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發(fā)表于 2025-3-24 16:13:53 | 只看該作者
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發(fā)表于 2025-3-24 19:37:54 | 只看該作者
Subhasis Raynsformation best practices for data warehouses..What You Will Learn.Build scalable ETL jobs in Azure without writing code.Transform big data for data quality and data modeling requirements.Understand the978-1-4842-8611-1978-1-4842-8612-8
20#
發(fā)表于 2025-3-25 02:01:12 | 只看該作者
Subhasis Raynsformation best practices for data warehouses..What You Will Learn.Build scalable ETL jobs in Azure without writing code.Transform big data for data quality and data modeling requirements.Understand the978-1-4842-8611-1978-1-4842-8612-8
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