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Processing Big Data with Azure HDInsight

Data with Azure HDInsight covers the fundamentals of big data, how businesses are using it to their advantage, and how Azure HDInsight fits;

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Pro Microsoft HDInsight

in this book enables you to process enormous volumes of structured as well as non-structured data easily using HDInsight, which is Microsoft's own;

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ETL with Azure Cookbook

Use SSIS 2019 with Azure HDInsight clusters Discover how to query SQL Server 2019 Big Data Clusters hosted in Azure Migrate SSIS solutions;

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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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Hands-On Machine Learning with Azure

Server and its capabilities in SQL and HDInsight. In the concluding chapters, you'll integrate patterns with other non-AI services in Azure. By;

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Azure Storage, Streaming, and Batch Analytics

applications to full-scale enterprise systems. With many pre-built services for everything from data storage to advanced machine learning, Azure offers;

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Cloud Analytics with Microsoft Azure

by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and;

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Pro PowerShell for Microsoft Azure

PowerShell skills to good use and ensure that your applications and data are available anywhere at any time, with Pro PowerShell for Microsoft Azure;

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Big Data Analytics with R

of Big Data processing using R programming language and its powerful statistical capabilities * Deploy Big Data analytics platforms with;

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Microsoft Big Data Solutions

Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help;

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Microsoft Azure Data Solutions - An Introduction

pace, supplanting traditional relational and data warehouse storage solutions with novel, high-value alternatives. Now, three pioneering Azure;

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Data Lake Analytics on Microsoft Azure

, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer;

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Azure for Architects

big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions;

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Understanding Azure Data Factory

Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on;

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

and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft;

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Data Science Solutions on Azure

Learn Understand big data analytics with Spark in Azure Databricks Integrate with Azure services like Azure Machine Learning and Azure;

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Data Science Solutions on Azure

;ll LearnUnderstand big data analytics with Spark in Azure Databricks Integrate with Azure services like Azure Machine Learning and Azure;

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Distributed Data Systems with Azure Databricks

Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a;

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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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Microsoft Azure

more. The final section of the book starts with Azure data services and big data with an in-depth discussion of Azure SQL Database, CosmosDB;

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Microsoft Azure

more. The final section of the book starts with Azure data services and big data with an in-depth discussion of Azure SQL Database, CosmosDB;

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Data Engineeringon Azure

There's a big gap between running machine learning and data processes as prototypes, and deploying them to a production cloud environment;

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Azure for Architects

Create advanced data and integrated solutions using Azure Event Grid, functions, and containers Key Features Get familiar with the;

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Cloud Analytics with Microsoft Azure

insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial;

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Hands-On Data Warehousing with Azure Data Factory

is everywhere, ETL will always be the vital process to handle data from different sources. Hands-On Data Warehousing with Azure Data Factory starts with;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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