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The Azure Data Lakehouse Toolkit

Intermediate user level;...

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The Azure Data Lakehouse Toolkit

Design and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure Synapse;

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Beginning Azure Synapse Analytics

data and analytics concepts followed by an understanding of traditional/legacy data warehouse, modern data warehouse, and the most modern data;

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Exam Ref DP-900 Microsoft Azure Data Fundamentals

using Microsoft Azure data services. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the;

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Microsoft Azure Data Solutions - An Introduction

Discover and apply the Azure platform's most powerful data solutions Cloud technologies are advancing at an accelerating;

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Azure Arc-enabled Data Services Revealed

Get introduced to Azure Arc-enabled Data Services and the powerful capabilities to deploy and manage local, on-premises, and hybrid cloud;

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Data Science Solutions on Azure

in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end;

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Data Science Solutions on Azure

in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end;

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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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The Definitive Guide to Azure Data Engineering

advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data;

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Microsoft Azure

budgeting, cloud economics, and designing a hybrid data center. Along the way, you will work with web apps, network PaaS, virtual machines, and much;

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Microsoft Azure

budgeting, cloud economics, and designing a hybrid data center. Along the way, you will work with web apps, network PaaS, virtual machines, and much;

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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 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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Azure Storage, Streaming, and Batch Analytics

all the building blocks for scalable big data analysis systems including ingestion, processing, querying, and migration. * Azure;

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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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Mapping Data Flows in Azure Data Factory

Build scalable ETL data pipelines in the cloud using Azure Data Factory's Mapping Data Flows. Each chapter of this book addresses different;

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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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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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Azure Stack Hub Demystified

Book DescriptionAzure Stack Hub is the on-premise offering from Microsoft, which provides Azure Cloud services within a customer's own data;

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Cloud Data Design, Orchestration, and Management Using Microsoft Azure

. What You'll Learn Know the Azure services useful to implement a data solution Match the products/services used to your specific needs Fit;

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

services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on;

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Cloud Analytics with Microsoft Azure

Leverage the power of Azure to get efficient data insights from your big data in real time Key Features Explore the basics of cloud;

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Pro Serverless Data Handling with Microsoft Azure

Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud;

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Implementing Hybrid Cloud with Azure Arc

PaaS data services Manage, govern, and monitor your on-premises servers and applications with Azure Book DescriptionWith all the options;

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Distributed Data Systems with Azure Databricks

Quickly build and deploy massive data pipelines and improve productivity using Azure Databricks Key Features Get to grips with the;

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Data Engineeringon Azure

. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure;

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