<p>Learn Business Intelligence Markup Language (Biml) for automating much of the repetitive, manual labor involved in data integration. We teach you how to build frameworks and use advanced Biml features to get more out of SQL Server Integration Services (SSIS), Transact-SQL (T-SQL), and SQL Server Analysis Services (SSAS) than you ever thought possible.<br>The first part of the book starts with the basics―getting your development environment configured, Biml syntax, and scripting essentials.<br>Whether a beginner or a seasoned Biml expert, the next part of the book guides you through the process of using Biml to build a framework that captures both your design patterns and execution management. Design patterns are reusable code blocks that standardize the approach you use to perform certain types of data integration, logging, and other key data functions. Design patterns solve common problems encountered when developing data integration solutions. Because you do not have to build the code from scratch each time, design patterns improve your efficiency as a Biml developer.<br>In addition to leveraging design patterns in your framework, you will learn how to build a robust metadata store and how to package your framework into Biml bundles for deployment within your enterprise.<br>In the last part of the book, we teach you more advanced Biml features and capabilities, such as SSAS development, T-SQL recipes, documentation autogeneration, and Biml troubleshooting.<br><i>The Biml Book</i>:</p>
<ul>
<li>Provides practical and applicable examples<br>
</li>
<li>Teaches you how to use Biml to reduce development time while improving quality<br>
</li>
<li>Takes you through solutions to common data integration and BI challenges<br>
</li>
</ul>
<b>What You'll Learn</b><ul>
<li>Master the basics of Business Intelligence Markup Language (Biml)<br>
</li>
<li>Study patterns for automating SSIS package generation<br>
</li>
<li>Build a Biml Framework</li>
<li>Import and transform database schemas</li>
<li>Automate generation of scripts and projects<br>
</li>
</ul>
<b>Who This Book Is For</b>BI developers wishing to quickly locate previously tested solutions, Microsoft BI specialists, those seeking more information about solution automation and code generation, and practitioners of Data Integration Lifecycle Management (DILM) in the DevOps enterprise<br>

The Biml Book: Business Intelligence and Data Warehouse Automation

Computers & Technology

Weissman, Benjamin

Currie, Scott

Leonard, Andy

Andersson, Martin

Alley, Jacob

Avenant, Peter

Fellows, Bill

Peck, Simon

Smith, Reeves

Sondak, Raymond

Networking & Cloud Computing

Apress

<p>Get a head-start on learning one of SQL Server 2019’s latest and most impactful features―Big Data Clusters―that combines large volumes of non-relational data for analysis along with data stored relationally inside a SQL Server database. This book provides a first look at Big Data Clusters based upon SQL Server 2019 Release Candidate 1. Start now and get a jump on your competition in learning this important new feature. <br><br>Big Data Clusters is a feature set covering data virtualization, distributed computing, and relational databases and provides a complete AI platform across the entire cluster environment. This book shows you how to deploy, manage, and use Big Data Clusters. For example, you will learn how to combine data stored on the HDFS file system together with data stored inside the SQL Server instances that make up the Big Data Cluster. <br>Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019 using Release Candidate 1. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL―taking advantage of skills you have honed for years―and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark. <br>Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis. <br><br><b>What You Will Learn</b></p>
<ul>
<li>Install, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments<br>
</li>
<li>Analyze large volumes of data directly from SQL Server and/or Apache Spark<br>
</li>
<li>Manage data stored in HDFS from SQL Server as if it were relational data<br>
</li>
<li>Implement advanced analytics solutions through machine learning and AI<br>
</li>
<li>Expose different data sources as a single logical source using data virtualization<br>
</li>
</ul>
<br><b>Who This Book Is For<br></b><br>For data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environment<br>

SQL Server Big Data Clusters: Early First Edition Based on Release Candidate 1

Programming

<p>Use this guide to one of SQL Server 2019's most impactful features--Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to&nbsp;use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database.&nbsp; <div> <div><br /></div> <div>Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL--taking advantage of skills you have honed for years--and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark.&nbsp;</div> <div><br /></div> <div>Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis.&nbsp; <div><br /></div> </div> <div><br /></div> <div><b>What You Will Learn</b></div> <div> <div> <ul> <li>Install, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments<br /></li> <li>Analyze large volumes of data directly from SQL Server and/or Apache Spark<br /></li> <li>Manage data stored in HDFS from SQL Server as if it were relational data<br /></li> <li>Implement advanced analytics solutions through machine learning and AI<br /></li> <li>Expose different data sources as a single logical source using data virtualization<br /></li> </ul> </div> <div><br /></div> </div> <div><b>Who This Book Is For<br /></b></div> <div><br /></div> <div>Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments<br /></div> </div></p>

SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform

van de Laar, Enrico

<p>short fiction from "a uniquely wicked &amp; wild mind"</p>

Dear Dead Person and Other Stories (High Risk Books)

Literature & Fiction

United States

Serpent's Tail

<p>"<i>Headless</i> is fearless, fun, and sometimes filthy . . . an alphabet soup of -delight in language. Eat up."<br>Alice Sebold<br><br>"Brilliant. Wildly inventive, profane, and hilarious."<br>Bret Easton Ellis<br><br>The author of the acclaimed cult classic <i>Dear Dead Person</i> ("refreshing, nauseating, hilarious"<i>Kirkus</i>) returns with this long-awaited collection of brilliantly written and outrageously imaginative short stories.<br><br><b>Benjamin Weissman</b> is the author of <i>Dear Dead Person</i> (High Risk/Serpent’s Tail, 1995). He is a contributing editor to <i>Bomb Magazine</i> and writes regularly for the contemporary art magazines <i>Parkett </i>and <i>Artforum</i>. A painter and a professor at Art Center College of Design and Otis College of the Arts, he now lives in Los Angeles.<br></p>

Headless (Little House on the Bowery)

Humor & Entertainment

Humor

Akashic Books Ltd

<p>To say that Paul McCarthy is a provocative artist is to make an understatement as gross as the artist's own infamous use of chocolate syrup and Santa Claus costumes. Since the late 1960s, McCarthy has pushed the boundaries of taboo through the media of performance art, sculpture, and video, aiming for ultimate catharsis via an inside-out journey through sticky layers of shock and provocation. In his early performance works, the artist used his own body as material, testing his physical limits amidst a mess of American condiments like mayonnaise and ketchup, plus a helping of fluids simulating bodily excretions. His attack on the values of the American way of life and on a society manipulated by the media continued into the 80s, when he began to produce mechanical sculptures that gradually replaced his own presence in the gallery. In the 90s, his ever expansive installations continued to break taboos in a theatrically drastic way, further exploring issues of violence and pornography, masturbation, birth, and death. <i>LaLa Land</i> is published in conjunction with the most extensive exhibition of McCarthy's work in Europe, which ran through the summer of 2005 at the Haus der Kunst in Munich. Included is the first published documentation of two new works on which the artist worked for several years, <i>Pirate Project</i> and <i>Western Project</i>, whose respective protagonists, pirates and cowboys, are drawn from common clichas and myths, as are so many of his characters. Here they are treated with McCarthy's characteristic irony and grotesque exaggeration. Complementing this documentation are video stills, drawings, and sculptures dating from the early 60s to the present, for an important overview of the artist's entire oeuvre.</p>

Paul McCarthy: Lala Land (English and German Edition)

Arts & Photography

Rosenthal, Stephanie

Bronfen, Elisabeth

History & Criticism

Hatje Cantz Publishers

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Books by Weissman, Benjamin