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Naik P. Hands-on Cloud Analytics With Microsoft Azure Stack 2021
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Data is the key input for Analytics. Building and implementing data platforms such as Data Lakes, modern Data Marts, and Analytics at scale require the right cloud platform that Azure provides through its services. The book starts by sharing how analytics has evolved and continues to evolve. Following the introduction, you will deep dive into ingestion technologies. You will learn about Data processing services in Azure. You will next learn about what is meant by a Data Lake and understand how Azure Data Lake Storage is used for analytical workloads. You will then learn about critical services that will provide actual Machine Learning capabilities in Azure. The book also talks about Azure Data Catalog for cataloging, Azure AD for Access Management, Web Apps and PowerApps for cloud web applications, Cognitive services for Speech, Vision, Search and Language, Azure VM for computing and Data Science VMs, Functions as serverless computing, Kubernetes and Containers as deployment options. Towards the end, the book discusses two use cases on Analytics. WHAT WILL YOU LEARN Explore and work with various Azure services Orchestrate and ingest data using Azure Data Factory Learn how to use Azure Stream Analytics Get to know more about Synapse Analytics and its features Learn how to use Azure Analysis Services and its functionalities Data and its Power Evolution of Analytics and its Types Internet of Things AI and ML Why Cloud? What is a Data Lake and a Modern Datawarehouse/Mart Introduction to Azure Services Types of Data Azure Data Factory Stream Analytics Azure Data Lake Store and Azure Storage Cosmos DB Synapse Analytics Azure Databricks Azure Analysis Services Power BI Azure Machine Learning Sample Real-Time and Batch Architectures and Synergies Azure Data Catalog Azure Active Directory Azure Web Apps Power Apps IoT Time Series Insights Azure Cognitive Services Azure Logic Apps Azure Virtual Machine Azure Functions Azure Containers Azure Kubernetes Use Case 1 Use Case 2
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Naik P. Hands-on Cloud Analytics with Microsoft Azure Stack 2021.pdf
