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دانلود کتاب Azure Data Factory Cookbook
دانلود کتاب کتاب آشپزی Azure Data Factory
مشخصات کتاب
Azure Data Factory Cookbook
ویرایش: 2 نویسندگان: Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin سری: ISBN (شابک) : 1803246596, 9781803246598 ناشر: Packt Publishing سال نشر: 2024 تعداد صفحات: 533 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 91 مگابایت
قیمت کتاب (تومان) : 76,000
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Cover Copyright Contributors Table of Contents Preface Chapter 1: Getting Started with ADF Introduction to the Azure data platform Getting ready How to do it... How it works... Creating and executing our first job in ADF Getting ready How to do it... How it works... There’s more... See also Creating an ADF pipeline using the Copy Data tool Getting ready How to do it... How it works... There’s more... Creating an ADF pipeline using Python Getting ready How to do it... How it works... There’s more... See also Creating a data factory using PowerShell Getting ready How to do it… How it works... There’s more... See also Using templates to create ADF pipelines Getting ready How to do it... How it works... See also Creating an Azure Data Factory using Azure Bicep Getting ready How to do it... How it works... There’s more... See also Chapter 2: Orchestration and Control Flow Technical requirements Using parameters and built-in functions Getting ready How to do it… How it works… There’s more… See also Using the Metadata and Stored Procedure activities Getting ready How to do it… How it works… There’s more… Using the ForEach and Filter activities Getting ready How to do it… How it works… Chaining and branching activities within a pipeline Getting ready How to do it… There’s more… Using the Lookup, Web, and Execute Pipeline activities Getting ready How to do it… How it works… There’s more… See also Creating event-based pipeline triggers Getting ready How to do it… How it works… There’s more… See also Chapter 3: Setting Up Synapse Analytics Technical requirements Creating an Azure Synapse workspace Getting ready How to do it… There’s more… Loading data to Azure Synapse Analytics using Azure Data Factory Getting ready How to do it… How it works… There’s more… Loading data to Azure Synapse Analytics using Azure Data Studio Getting ready How to do it… How it works… There’s more… Loading data to Azure Synapse Analytics using bulk load Getting ready How to do it… How it works… Pausing/resuming an Azure Synapse SQL pool from Azure Data Factory Getting ready How to do it… How it works… There’s more… Working with Azure Purview using Azure Synapse Getting ready How to do it… How it works… There’s more... Copying data in Azure Synapse Integrate Getting ready How to do it… How it works… Using a Synapse serverless SQL pool Getting ready How to do it… How it works… There’s more… Chapter 4: Working with Data Lake and Spark Pools Technical requirements Setting up Azure Data Lake Storage Gen2 Getting ready How to do it... There’s more... Creating a Synapse Analytics Spark pool Getting ready How to do it... How it works... There’s more... Integrating Azure Data Lake and running Spark pool jobs Getting ready How to do it... How it works... Building and orchestrating a data pipeline for Data Lake and Spark Getting ready How to do it... How it works... There’s more... Chapter 5: Working with Big Data and Databricks Introduction Technical requirements Setting up an HDInsight cluster Getting ready How to do it… How it works… There is more… Processing data from Azure Data Lake with HDInsight and Hive Getting ready How to do it… How it works… Building data models in Delta Lake and data pipeline jobs with Databricks Getting ready How to do it… How it works… There is more… Ingesting data into Delta Lake using Mapping Data Flows Getting ready How to do it… How it works… There is more… External integrations with other compute engines (Snowflake) Getting ready How to do it… How it works… There is more… Chapter 6: Data Migration – Azure Data Factory and Other Cloud Services Technical requirements Copying data from Amazon S3 to Azure Blob storage Getting ready How to do it… How it works… Copying large datasets from S3 to ADLS Getting ready How to do it… Creating the linked services and dataset for the pipeline Creating the inner pipeline Creating the outer pipeline How it works… See also Copying data from Google Cloud Storage to Azure Data Lake Getting ready How to do it… How it works… See also Copying data from Google BigQuery to Azure Data Lake Store Getting ready How to do it… Migrating data from Google BigQuery to Azure Synapse Getting ready How to do it… See also Chapter 7: Extending Azure Data Factory with Logic Apps and Azure Functions Technical requirements Triggering your data processing with Logic Apps Getting ready How to do it… How it works… There’s more… Using the Web activity to call an Azure logic app Getting ready How to do it… How it works… There’s more… Adding flexibility to your pipelines with Azure Functions Getting ready… How to do it… How it works… There’s more… Chapter 8: Microsoft Fabric and Power BI, Azure ML, and Cognitive Services Technical requirements Introducing Microsoft Fabric and Data Factory Getting ready How to do it... How it works... Microsoft Fabric Data Factory: A closer look at the pipelines Getting ready How to do it... How it works... Loading data with Microsoft Fabric Dataflows Getting ready How to do it... How it works... There’s more... Automatically building ML models with speed and scale Getting ready How to do it... How it works… There’s more... Analyzing and transforming data with Azure AI and prebuilt ML models Getting ready How to do it... How it works... There’s more... Chapter 9: Managing Deployment Processes with Azure DevOps Technical requirements Setting up Azure DevOps Getting ready How to do it... How it works... Publishing changes to ADF Getting ready How to do it... How it works... Deploying your features into the master branch Getting ready How to do it... How it works... Getting ready for the CI/CD of ADF Getting ready How to do it... How it works... Creating an Azure pipeline for CD Getting ready How to do it... How it works... There’s more... Install and configure Visual Studio to work with ADF deployment Getting ready How to do it... How it works... Setting up ADF as a Visual Studio project Getting ready How to do it... How it works… Running Airflow DAGs with ADF Getting ready How to do it... How it works... Chapter 10: Monitoring and Troubleshooting Data Pipelines Technical requirements Monitoring pipeline runs and integration runtimes Getting ready How to do it… How it works… Investigating failures – running pipelines in debug mode Getting ready How to do it… How it works… There’s more… See also Rerunning activities Getting ready How to do it… How it works… Configuring alerts for your Azure Data Factory runs Getting ready How to do it… How it works… There’s more… See also Chapter 11: Working with Azure Data Explorer Introduction to ADX See also Creating an ADX cluster and ingesting data Getting ready How to do it... How it works... How it works… See also Orchestrating ADX data with Azure Data Factory Getting ready How to do it... How it works... There’s more... See also Ingesting data from Azure Blob storage to ADX in Azure Data Factory using the Copy activity Getting ready How to do it... How it works... There’s more... Chapter 12: The Best Practices of Working with ADF Technical requirements Setting up roles and permissions with access levels in ADF Getting ready How to do it… How it works… There is more… See also Setting up Meta ETL with ADF Getting ready How to do it... How it works… There’s more... Leveraging ADF scalability: Performance tuning of an ADF pipeline Getting ready How to do it… How it works… There is more… See also Using ADF disaster recovery built-in features Getting ready How to do it... How it works... Change Data Capture Getting ready How to do it… How it works… There is more… Managing Data Factory costs with FinOps Getting ready How to do it... How it works... 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