With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to provision, configure, monitor, troubleshoot, and use HDInsight, even if you're new to big data analytics. Each short, easy lesson builds on all that's come before: you'll learn all of HDInsight's essentials as you solve real data analytics problems. Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours covers all this, and much more: <ul>
<li>Introduction of Big Data, NoSQL systems, its Business Value Proposition and use cases examples</li> <li>Introduction to Hadoop, Architecture, Ecosystem and Microsoft HDInsight</li> <li>Getting to know Hadoop 2.0 and the innovations it provides like HDFS2 and YARN</li> <li>Quickly installing, configuring, and monitoring Hadoop (HDInsight) clusters in the cloud and automating cluster provisioning</li> <li>Customize the HDInsight cluster and install additional Hadoop ecosystem projects using Script Actions</li> <li>Administering HDInsight from the Hadoop command prompt or Microsoft PowerShell</li> <li>Using the Microsoft Azure HDInsight Emulator for learning or development</li> <li>Understanding HDFS, HDFS vs. Azure Blob Storage, MapReduce Job Framework and Job Execution Pipeline</li> <li>Doing big data analytics with MapReduce, writing your MapReduce programs in your choice of .NET programming language such as C#</li> <li>Using Hive for big data analytics, demonstrate end to end scenario and how Apache Tez improves the performance several folds</li> <li>Consuming HDInsight data from Microsoft BI Tools over Hive ODBC Driver - Using HDInsight with Microsoft BI and Power BI to simplify data integration, analysis, and reporting</li> <li>Using PIG for big data transformation workflows step by step</li> <li>Apache HBase on HDInsight, its architecture, data model, HBase vs. Hive, programmatically managing HBase data with C# and Apache Phoenix</li> <li>Using Sqoop or SSIS (SQL Server Integration Services) to move data to/from HDInsight and build data integration workflows for transferring data </li> <li>Using Oozie for scheduling, co-ordination and managing data processing workflows in HDInsight cluster</li> <li>Using R programming language with HDInsight for performing statistical computing on Big Data sets</li> <li>Using Apache Spark's in-memory computation model to run big data analytics up to 100 times faster than Hadoop MapReduce</li> <li>Perform real-time Stream Analytics on high-velocity big data streams with Storm</li> <li>Integration of Enterprise Data Warehouse with Hadoop and Microsoft Analytics Platform System (APS), formally known as SQL Server Parallel Data Warehouse (PDW)</li> </ul> Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid problems. By the time you're finished, you'll be comfortable going beyond the book to create any HDInsight app you can imagine!

Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself

Computers & Technology

Singh, Manpreet

Certification

Sams Publishing

A sundry of poems were compiled together over 23 years- "Singh is Queer" explores Intersectional feminism and colonialism through a Sikh perspective.

Singh Is Queer

Arts & Photography

Manpreet Singh Virk

To get ahead in today's hyper-competitive marketplace, your business has to take advantage of the data you already have and mine that data to give you new insight, metrics, and clues to what drives successful customer interactions. In Pro SharePoint 2013 Business Intelligence Solutions, you'll learn exactly how to unlock that magic, build business intelligence facilities on SharePoint, and glean insights from data to propel your business to the next level. 
To understand the various business intelligence offerings in SharePoint 2013, you need to understand the core SQL Server business intelligence concepts, and the first part of the book presents a comprehensive tutorial on those fundamentals. Pro SharePoint 2013 Business Intelligence Solutions then focuses on specific SharePoint business intelligence investments including: 
<ul>
<li>Visio Services </li>
<li>Excel Services </li>
<li>SQL Server Reporting Services </li>
<li>Business Connectivity Services </li>
<li>Power View and PerformancePoint Services </li>
</ul>
Authors Manpreet Singh, Sha Anandan, Sahil Malik, and Steve Wright walk you through all of this material comprehensively in practical, hands-on format, with plenty of examples to empower you to use these products in your real-life projects.
As compelling as SharePoint and SQL Server business intelligence are together, the challenge always has been finding people who understand both SharePoint and SQL Server well enough to deliver such business intelligence solutions. With this book in hand, you become part of that select group. Get your copy of Pro SharePoint 2013 Business Intelligence Solutions today!

Pro SharePoint 2013 Business Intelligence Solutions

Wright, Steve

Malik, Sahil

LLC, Winsmarts

Sistla, Srini

Anandan, Sha

Networking & Cloud Computing

Apress

Develop and manage effective real-time streaming solutions by leveraging the power of Microsoft AzureKey Features<ul>
<li>Analyze your data from various sources using Microsoft Azure Stream Analytics</li>
<li>Develop, manage and automate your stream analytics solution with Microsoft Azure</li>
<li>A practical guide to real-time event processing and performing analytics on the cloud</li>
</ul>Book DescriptionMicrosoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering, Stream Analytics, allows you to process and get actionable insights from different kinds of data in real-time.
This book is your guide to understanding the basics of how Azure Stream Analytics works, and building your own analytics solution using its capabilities. You will start with understanding what Stream Analytics is, and why it is a popular choice for getting real-time insights from data. Then, you will be introduced to Azure Stream Analytics, and see how you can use the tools and functions in Azure to develop your own Streaming Analytics. Over the course of the book, you will be given comparative analytic guidance on using Azure Streaming with other Microsoft Data Platform resources such as Big Data Lambda Architecture integration for real time data analysis and differences of scenarios for architecture designing with Azure HDInsight Hadoop clusters with Storm or Stream Analytics. The book also shows you how you can manage, monitor, and scale your solution for optimal performance.
By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data.What you will learn<ul>
<li>Perform real-time event processing with Azure Stream Analysis</li>
<li>Incorporate the features of Big Data Lambda architecture pattern in real-time data processing</li>
<li>Design a streaming pipeline for storage and batch analysis</li>
<li>Implement data transformation and computation activities over stream of events</li>
<li>Automate your streaming pipeline using Powershell and the .NET SDK</li>
<li>Integrate your streaming pipeline with popular Machine Learning and Predictive Analytics modelling algorithms</li>
<li>Monitor and troubleshoot your Azure Streaming jobs effectively</li>
</ul>Who This Book Is ForIf you are looking for a resource that teaches you how to process continuous streams of data in real-time, this book is what you need. A basic understanding of the concepts in analytics is all you need to get started with this bookTable of Contents<ol>
<li>Introducing Stream Processing and Real-time Insights</li>
<li>Introducing Azure Stream Analytics and Key advantages</li>
<li>Designing Real Time Streaming Pipeline</li>
<li>Developing real-time event processing with Azure Streaming</li>
<li>Building using Stream Analytics Query Language</li>
<li>How to achieve Seamless Scalability with Automation</li>
<li>Integration of Microsoft Business Intelligence and Big Data</li>
<li>Designing &amp; Managing of Stream Analytics jobs</li>
<li>Optimizing Intelligence in Azure Streaming</li>
<li>Understand Stream Analytics job monitoring and how to monitor queries</li>
<li>Use Cases on Real World Data Streaming Architectures</li>
</ol>

Stream Analytics with Microsoft Azure: Real-time data processing for quick insights using Azure Stream Analytics

Murphy, Ryan

Basak, Anindita

Venkataraman, Krishna

Packt Publishing

Volume 2 expands on the landmark Myths in Emergency Medicine. This volume examines the origin, facts, and misconceptions of many common bedside teachings. These are some of the oldest and most pervasive medical myths. With each topic we discuss the best available evidence to guide clinical care, and acknowledge the areas of continued uncertainty. Ironically, disproving a myth may actually create a new myth, but these common tales are filled with many falsehoods. By taking a deep dive into these common myths we hope you will both gain an appreciation for medical history and improve your clinical practice and skepticism.

Myths in Emergency Medicine Volume 2

Medical Books

Ostermayer, Daniel G.

Runde, Daniel P

Medicine

Null Publishing

The print edition of The Kaji Review brings all the great aspects of the origin ebook to print. The Kaji Review is an evidence based clinical question book for students, residents, and attending physicians in Emergency Medicine. The book covers core content, LLSA readings, procedures, and advanced clinical topics. There are over 750 questions and hundreds of full text articles, videos, and images, making this book essential reading for residency and continuing medical education.

The Kaji Review Vol 1 Part 1: Print Edition

Ostermayer, Daniel

Kaji, Amy

Yamamoto, Ami

Beres, Kevin

Chiu, Silas

Independently published

PART 2 of 2.The print edition of The Kaji Review brings all the great aspects of the origin ebook to print. The Kaji Review is an evidence based clinical question book for students, residents, and attending physicians in Emergency Medicine. The book covers core content, LLSA readings, procedures, and advanced clinical topics. There are over 750 questions and hundreds of full text articles, videos, and images, making this book essential reading for residency and continuing medical education.

The Kaji Review Vol. 1 Part 2: Print Edition

See the best price to sell, buy, or rent books by Singh, Manpreet. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Singh, Manpreet