Rawat Sudhir, Narain Abhishek Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions 9781484241219

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Автор: Rawat Sudhir, Narain Abhishek
Название: Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions
ISBN: 9781484241219
Издательство: Springer
Классификация:

Электротехническое машиностроение

Информационные технологии: общие вопросы

Сетевое оборудование

Программирование в среде Microsoft

Базы данных

ISBN-10: 1484241215
Обложка/Формат: Paperback
Страницы: 368
Вес: 0.54 кг.
Дата издания: 19.12.2018
Язык: English
Издание: 1st ed.
Иллюстрации: 376 illustrations, black and white; xi, 368 p. 376 illus.
Размер: 158 x 235 x 23
Читательская аудитория: Professional & vocational
Подзаголовок: Operationalizing big data and advanced analytics solutions
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organizations custom monitoring requirements.

This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines.

What Youll Learn

Understand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data

Who This Book Is For

Data engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.

Дополнительное описание: Chapter 1: Introduction to Data Analytics.- Chapter 2: Introduction to Azure Data Factory.- Chapter 3: Data Movement.- Chapter 4: Data Transformation-I.- Chapter 5: Data Transformation-II.- Chapter 6: Monitoring.- Chapter 7: Security.- Chapter 8: Executin

Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions, Rawat Sudhir, Narain Abhishek