What do you think?
Rate this book
Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions
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 organization's 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 You'll Learn
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.
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 You'll Learn
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.
- GenresComputer Science
379 pages, Paperback
Published December 19, 2018
3 people are currently reading
11 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 2 of 2 reviews
January 16, 2020
El libro se encuentra a la mitad de camino entre un libro técnico y lo que se conoce como un "Cookbook". Entonces no se puede profundizar en tópicos de interés ni se puede entender como sería un funcionamiento adecuado de la plataforma. No posee nada sobre soluciones analíticas en el contexto de Big Data. De hecho, la mayoría de las guías son sobre base de datos relacionales.
Empecé buscando ideas sobre operacionalización de tareas a través de json, como crear clusters de manera eficiente, y/o como orquestar soluciones que funcionan principalmente utilizando como fuentes datos semiestructurados.
Puede ser de utilidad para aquellos desarrolladores de SSIS que estén migrando los sistemas a entornos cloud.
Empecé buscando ideas sobre operacionalización de tareas a través de json, como crear clusters de manera eficiente, y/o como orquestar soluciones que funcionan principalmente utilizando como fuentes datos semiestructurados.
Puede ser de utilidad para aquellos desarrolladores de SSIS que estén migrando los sistemas a entornos cloud.
June 1, 2019
It says so in the title; this book helps you understand Azure Data Factory.
It contains some basic examples and walks you through the rest of the Azure servises like data lake, HDInsight, Data bricks etc.
I would’ve expected a little more depth and some demanding real life examples in order to understand the value of ADF.
It contains some basic examples and walks you through the rest of the Azure servises like data lake, HDInsight, Data bricks etc.
I would’ve expected a little more depth and some demanding real life examples in order to understand the value of ADF.
Displaying 1 - 2 of 2 reviews