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The Modern Data Warehouse in Azure

Intermediate-Advanced user level;...

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The Modern Data Warehouse in Azure

Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast-fast to snap together, reconfigure, and;

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Cloud Analytics with Microsoft Azure

also be introduced to the new features and functionalities added to the modern data warehouse. Finally, you will look at two real-world;

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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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Data Lake Analytics on Microsoft Azure

, the modern data warehouse, and advanced data analytics Architecture patterns of the modern data warehouse and advanced data analytics;

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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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Hands-On Data Warehousing with Azure Data Factory

components of an ETL solution using Azure Data Factory and Integration Services Design the architecture of a modern ETL hybrid solution Implement ETL;

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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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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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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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Cloud Analytics with Microsoft Azure

learn Explore the concepts of modern data warehouses and data pipelines Discover different design considerations while applying a cloud;

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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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Data Science Solutions on Azure

Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools;

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Data Science Solutions on Azure

Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools;

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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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Developing a Data Warehouse for the Healthcare Enterprise

This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception;

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Developing a Data Warehouse for the Healthcare Enterprise

This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception;

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Database & Data Warehousing Technologies

Data Warehouse is a type of data organization on which decision-making systems are based. The data storage in a data warehouse system;

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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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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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Azure Stack Hub Demystified

modern data center. Later, you will understand various approaches to DevOps and their implementation, and learn key topics for the AZ-600 exam;

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Learn Azure in a Month of Lunches_p

Description Cloud platforms like Microsoft Azure transfer data and application hosting to remote virtual servers, reducing the cost and;

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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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Understanding Etl and Data Warehousing

Testing in data warehouse systems is substantial because it is oriented towards the correctness and validation of data/ information;

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Building a Data Warehouse

Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including;

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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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