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Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions
1. Introduction to Azure Data Factory
· Overview · Integration runtime (CIR, SHIR, SSIS IR) · Linked Services and datasets · Activities · Pipelines 2. Data Movement · Copy Activity · 1. Hybrid and 2. Cloud · Performance i. Hybrid ii. Cloud 3. Data Transformation · All activities · Define and build solution using Various activities · Scenario 4. Managing Flow · Basically defining Control flow · All control flow activity · Use cases/ Multi-table load using single pipeline, Lookup and data copy. 5. Security · ADF Metadata · Data Movement (in transit/ rest) · Credential Management · Ports and Firewalls for hybrid scenarios 6. Monitoring · &^ Activity (data engineer) · Integration runtime (DevOps) · UI, SDK, PSH · Azure Monitor and OMS 7. Executing SSIS Packages · Demo/ Setup 8. Operationalizing Pipelines · Parameters & System variables · Setting up Triggers · end-to-end (operationalized) 9 . Summary · 1. Hybrid pipelines (ETL), 2. Modern DW (UX)
· Overview · Integration runtime (CIR, SHIR, SSIS IR) · Linked Services and datasets · Activities · Pipelines 2. Data Movement · Copy Activity · 1. Hybrid and 2. Cloud · Performance i. Hybrid ii. Cloud 3. Data Transformation · All activities · Define and build solution using Various activities · Scenario 4. Managing Flow · Basically defining Control flow · All control flow activity · Use cases/ Multi-table load using single pipeline, Lookup and data copy. 5. Security · ADF Metadata · Data Movement (in transit/ rest) · Credential Management · Ports and Firewalls for hybrid scenarios 6. Monitoring · &^ Activity (data engineer) · Integration runtime (DevOps) · UI, SDK, PSH · Azure Monitor and OMS 7. Executing SSIS Packages · Demo/ Setup 8. Operationalizing Pipelines · Parameters & System variables · Setting up Triggers · end-to-end (operationalized) 9 . Summary · 1. Hybrid pipelines (ETL), 2. Modern DW (UX)
- GenresComputer Science
382 pages, Paperback
Published January 17, 2019
3 people are currently reading
11 people want to read
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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