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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 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. 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. 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. What You Will Learn
Install, manage, and troubleshoot Big Data Clusters in cloud or
on-premise environments Analyze large volumes of data directly from
SQL Server and/or Apache Spark Manage data stored in HDFS from SQL
Server as if it were relational data Implement advanced analytics
solutions through machine learning and AI Expose different data
sources as a single logical source using data virtualization Who
This Book Is For Data engineers, data scientists, data architects,
and database administrators who want to employ data virtualization
and big data analytics in their environments
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. The first part of the book starts with
the basics-getting your development environment configured, Biml
syntax, and scripting essentials. 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. 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. 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. The Biml
Book: Provides practical and applicable examples Teaches you how to
use Biml to reduce development time while improving quality Takes
you through solutions to common data integration and BI challenges
What You'll Learn Master the basics of Business Intelligence Markup
Language (Biml) Study patterns for automating SSIS package
generation Build a Biml Framework Import and transform database
schemas Automate generation of scripts and projects Who This Book
Is For 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
Thaddeus Strode's vibrant large-scale paintings are universes unto
themselves: wild mash-ups of California surf and skateboard
culture, Zen philosophy, rock music, literature, film, and comic
books. "Absolutes and Nothings" marks the artist's first major
museum show, presented as part of the Mildred Lane Kemper Art
Museum's Contemporary Projects series.
Strode's images draw on a wealth of motifs inspired by a broad
range of sources in popular culture, freely combined with the
artist's own creations. The strength and visual pleasure of
Strode's aesthetic come from his self-reflexive combination of
painterly styles and incongruous elements, in which enigmatic
texts, phantoms, monsters, and castaways play off one another to
produce cryptic--and captivating--fantasies. Including over two
dozen full-color images of works from 2001 to the present, as well
as essays by Sabine Eckmann, Meredith Malone, and Benjamin
Weissman, "Absolutes and Nothings" is a fascinating premier
monograph from one of our most vital and exciting contemporary
visual artists.
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Donker Web
Fanie Viljoen
Paperback
(2)
R270
R119
Discovery Miles 1 190
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