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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 Data Solutions - An Introduction

Develop efficient Azure batch processing and streaming solutions Monitor Azure SQL databases, blob storage, data lakes, Azure Synapse Analytics;

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The Azure Data Lakehouse Toolkit

Snowflake. You will learn to write efficient PySpark code for batch and streaming ELT jobs on Azure. And you will follow along with practical;

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The Definitive Guide to Azure Data Engineering

Build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and;

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Data Lake Analytics on Microsoft Azure

applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem These data;

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Business in Real Time Using Azure IoT and Cortana Intelligence Suite

Visual Studio Team Services Implement smart devices using Node.JS and C# Use Azure Streaming Analytics to ingest millions of events Provide both;

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Cloud Analytics with Microsoft Azure

with the latest features and new additions to Microsoft Azure Master the fundamentals of cloud analytics using Azure Learn to use Azure;

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Cloud Analytics with Microsoft Azure

analytics using Azure Discover different ways to process and visualize your data easily Learn to use Azure Synapse Analytics (formerly known as;

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Real-Time Analytics

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data;

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Pro Spark Streaming

maintaining state across the Spark Streaming micro-batch model Implement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkR;

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Exam Ref 70 533

Prepare for Microsoft Exam 70-533--and help demonstrate your real-world mastery of Microsoft Azure infrastructure solution implementation;

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Exam Ref AZ-203 Developing Solution

. About the Exam Exam AZ-203 focuses on knowledge needed to implement solutions using VMs and containers; implement batch jobs; create Azure;

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Data Management on New Hardware

OLTP, data warehousing/OLAP, ETL streaming/real-time, business analytics, and XML/RDF processing) running memory-only environments, using;

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Exam Ref DP-900 Microsoft Azure Data Fundamentals

Prepare for Microsoft Exam DP-900 Demonstrate your real-world foundational knowledge of core data concepts and how they are implemented;

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Exam Ref AZ-104 Microsoft Azure Administrator

Prepare for Microsoft Exam AZ-104-and help demonstrate your real-world mastery of Microsoft Azure administration. Designed for working;

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Beginning Azure Synapse Analytics

, Synapse Spark, Synapse Pipelines, and many more, along with their architecture and implementation. The book begins with an introduction to core;

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Microservices, Iot And Azure

-a-Service (SaaS) solutions that are designed and built using a microservice architecture, deployed to the Azure cloud, and managed through;

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Learning Spark

like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including;

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Microsoft Azure Administrator - Exam Guide AZ-103

Manage Microsoft Azure cloud services that span storage, security, networking, and compute cloud capabilities and ace the AZ-103 Exam Key;

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Mastering Hyper-V 2012 R2 with System Center and Windows Azure

deployment/migration, and then manage it all using native tools and System Center. Coverage also includes hybrid cloud scenarios specifically with;

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Learning Spark

data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming;

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Learn Microsoft Azure

Explore various Azure services to build solutions that leverage effective design patterns Key Features Create, deploy, and host cloud;

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Microsoft Azure Storage Essentials

of Microsoft Azure in terms of Blob, Table, Queue, and File storage * Learn the how and when of using the right storage service for different business;

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SQL Server 2022 Revealed

Know how to use the new capabilities and cloud integrations in SQL Server 2022. This book covers the many innovative integrations with the;

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SQL Server 2022 Revealed

Know how to use the new capabilities and cloud integrations in SQL Server 2022. This book covers the many innovative integrations with the;

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Real-Time Big Data Analytics

use cases of real-time analytics versus batch analytics * Develop real-word use cases for processing and analyzing data in real-time using;

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Big Data Science & Analytics

batch and real-time analytics. This new methodology forms the pedagogical foundation of this book. Part II introduces the reader to various;

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