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    Azure Data Factory Cookbook. Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Azure Data Factory Cookbook. Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton - okladka książki

    Azure Data Factory Cookbook. Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton - okladka książki

    Azure Data Factory Cookbook. Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton - audiobook MP3

    Azure Data Factory Cookbook. Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton - audiobook CD

    Autorzy:
    Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    382
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure Services into ADF and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with ADF and show you how to use the Azure portal to monitor pipelines. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.
    By the end of this book, you’ll be able to use ADF as the main ETL and orchestration tool for your data warehouse or data platform projects.

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    O autorach książki

    Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient in using various data warehousing methodologies. Dmitry has constantly exceeded project expectations when he has worked in the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics.
    Dmitry Foshin is a business intelligence team leader, whose main goals are delivering business insights to the management team through data engineering, analytics, and visualization. He has led and executed complex full-stack BI solutions (from ETL processes to building DWH and reporting) using Azure technologies, Data Lake, Data Factory, Data Bricks, MS Office 365, PowerBI, and Tableau. He has also successfully launched numerous data analytics projects – both on-premises and cloud – that help achieve corporate goals in international FMCG companies, banking, and manufacturing industries.
    Roman Storchak is a PhD, and is a chief data officer whose main interest lies in building data-driven cultures through making analytics easy. He has led teams that have built ETL-heavy products in AdTech and retail and often uses Azure Stack, PowerBI, and Data Factory.
    Xenia Ireton is a Senior Software Engineer at Microsoft. She has extensive knowledge in building distributed services, data pipelines and data warehouses.

    Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton - pozostałe książki

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