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Azure Data Factory by Example

Intermediate user level;...

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Hands-On Data Warehousing with Azure Data Factory

Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions Key Features Combine the power of Azure Data Factory;

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Understanding Azure Data Factory

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;

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Mapping Data Flows in Azure Data Factory

transforming the data for use in data science projects and analytics systems. The book begins with an introduction to Azure Data Factory followed by;

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Azure Data Factory by Example

Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first;

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The Definitive Guide to Azure Data Engineering

Factory, Databricks, Synapse Analytics, Snowflake, Azure SQL database, Stream Analytics, Cosmos database, and Data Lake Storage Gen2. You will;

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Mapping Data Flows in Azure Data Factory

Intermediate user level;...

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ETL with Azure Cookbook

(SSIS), Azure Data Factory, and Azure Databricks Key Features Understand the key components of an ETL solution using Azure Integration;

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Exam Ref DP-900 Microsoft Azure Data Fundamentals

measured by these objectives: Describe core data concepts Describe how to work with relational data on Azure Describe how to work with;

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Distributed Data Systems with Azure Databricks

distributed training and deployment of machine learning and deep learning models Learn how ETLs are integrated with Azure Data Factory and Delta Lake;

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Azure for Architects

integral part of this book that discusses options for implementing OLTP solutions using Azure SQL, Big Data solutions using Azure Data factory and;

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Microsoft Azure Data Solutions - An Introduction

Data consultants offer an expert introduction to the relational, non-relational, and data warehouse solutions offered by the Azure platform;

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Pro Serverless Data Handling with Microsoft Azure

develop using Azure Functions, Azure Data Factory, Logic Apps, and to employ serverless databases in your application to achieve the best;

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Developing Cloud-Native Solutions with Microsoft Azure and .NET

Azure Container-based services. Next, you will focus on building solutions by using Azure Storage and Data services, where you will go through;

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Business in Real Time Using Azure IoT and Cortana Intelligence Suite

Learn how today's businesses can transform themselves by leveraging real-time data and advanced machine learning analytics. This book;

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Data Science Solutions on Azure

by the practical implementation of artificial intelligence through machine learning. Data Science Solutions on Azure will reveal how the;

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Cloud Analytics with Microsoft Azure

everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data The book begins;

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Azure Arc-enabled Data Services Revealed

Backup and Restore your data that is managed by Azure Arc-enabled data services Manage Azure-enabled data services running outside of Azure;

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Data Science Solutions on Azure

followed by the practical implementation of artificial intelligence through machine learning. Data Science Solutions on Azure will reveal how the;

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SQL Server Data Automation Through Frameworks

-premises and Azure SQL Server instances. The SSIS framework from this book works in Azure Data Factory (ADF) and provides DevOps personnel the;

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Azure Storage, Streaming, and Batch Analytics

Azure Data Engineering teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively;

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Microsoft Azure

Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second;

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Microsoft Azure

Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data;

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Mastering Azure Machine Learning

TensorFlow, Spark, and Kubernetes Key Features Make sense of data on the cloud by implementing advanced analytics Train and optimize advanced deep;

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Azure Stack Hub Demystified

AZ-600 exam Configure and provide services from Microsoft Azure Stack Hub Implement data center integration with Microsoft Azure Stack Hub;

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Building Custom Tasks for SQL Server Integration Services

in this edition is a demonstration deploying a custom SSIS task to the Azure Data Factory (ADF) Azure-SSIS Integration Runtime (IR). All;

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