This book includes four visualization solutions powered by SAS Viya: SAS Visual Analytics, SAS Visual Statistics, SAS Visual Text Analytics, and SAS Visual Investigator. Found insideThe book also discusses Google Colab, which makes it possible to write Python code in the cloud. Found insideGet the most out of the rich development capabilities of SQL Server 2016 to build efficient database applications for your organization About This Book Utilize the new enhancements in Transact-SQL and security features in SQL Server 2016 to ... Found inside – Page iUse this guide to one of SQL Server 2019’s most impactful features—Big Data Clusters. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. Found insideWith Learning SQL, you'll quickly learn how to put the power and flexibility of this language to work. Serving as a road map for planning, designing, building, and running the back-room of a data warehouse, this book provides complete coverage of proven, timesaving ETL techniques. Found insideWhat You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache ... Combine high volume data movement, complex transformations and real-time data integration with the robust capabilities of ODI in this practical guide. This first book in the series covers how to access data files, libraries, and existing code in SAS Studio. Found insideThis book celebrates Michael Stonebraker's accomplishments that led to his 2014 ACM A.M. Turing Award "for fundamental contributions to the concepts and practices underlying modern database systems. This book is targeted toward technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing analytics solutions and support on IBM Power SystemsTM. Found inside – Page 47Exp to incl Teradata DBA, SQL Server DBA, & Microstrategy & Business Objects ... GameCube OS & Python, & familiar w/3-D graphics & human interface dsgn. Found insideThis book covers a large number, including the IPython Notebook, pandas, scikit-learn and NLTK. Each chapter of this book introduces you to new algorithms and techniques. Found inside – Page 37... PowerPlay, ReportNet, SQL, Oracle, Tera data (NCR), Sybase, Esbase, DB2, ... using document print/print image formats incl Xerox Meta/code & DJDE, ... Found insideThis book lays a strong foundation of the Tableau paradigm and builds to advanced topics, including Tableau Prep, to make you an expert. Are you ready to join them? This book helps you use and understand basic SAS software, including SAS® Enterprise Guide®, SAS® Add-In for Microsoft® Office, and SAS® Web Report Studio. Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. Over 70 practical recipes to gain operational data intelligence with Splunk Enterprise About This Book This is the most up-to-date book on Splunk 6.3 and teaches you how to tackle real-world operational intelligence scenarios efficiently ... If you are looking to learn the basic as well as the advanced tasks involved in Teradata querying or administration, this book will be handy. Some knowledge of relational database concepts will be helpful to get the best out of this book. A demonstration of Python's basic technologies showcases the programming language's possiblities as a Windows development and administration tool. XGBoost is the dominant technique for predictive modeling on regular data. * A proven best-seller by the most recognized Oracle expert in the world. * The best Oracle book ever written. It is supported by languages such as C, Java, Perl, PHP, Python, Ruby, TCL, and more. The Definitive Guide to SQLite, Second Edition is devoted to complete coverage of the latest version of this powerful database. Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book Learn why and how you can efficiently use Python to process data and build machine learning models in Apache ... Found insideStart building amazing projects with the Raspberry Pi right out of the box About This Book Explore the vast range of opportunities provided by Raspberry Pi and other hardware components such as a webcam, the Pi camera, and sensors Get hands ... Found inside – Page 69Exp must incl. software dsgn, dev, imp, testing & doc. ... Win Runner, Load Runner, PowerBuilder, Docent, TeraData, BizTalk Server, VB, Crystal Report, ... Found insideThis book introduces an entirely new way of using SAS statistics from R, taking users step-by-step from installation and fundamentals to data exploration and modeling. SAS Viya is made up of multiple components. This is a book-length blog post, designed not only to give you full knowledge of what RavenDB does, but also all the reasoning behind each feature. Found insideExp to incl Teradata DBA, SQL Server DBA, & Microstrategy & Business Objects ... of network projects & develop & maintain program specs & documentation. Or have switched jobs to where a different brand of SQL is being used, or maybe even been told to learn SQL yourself? If even one answer is yes, then you need this book. Data scientists today spend about 80% of their time just gathering and cleaning data. With this book, you’ll learn how Drill helps you analyze data more effectively to drive down time to insight. Throughout this book's development, hundreds of suggestions and volumes of feedback from both users and architects were integrated to ensure great writing and truly useful guidance. Covers administrative tasks that apply to the SAS Intelligence Platform as a whole, including starting and stopping servers, monitoring servers, setting server logging options, performing backups, administering the SAS Metadata Server, ... Found insideProven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. Found insideWith this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Found insideGet more out of Microsoft Power BI turning your data into actionable insights About This Book From connecting to your data sources to developing and deploying immersive, mobile-ready dashboards and visualizations, this book covers it all ... MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads. About the Book MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. A collection of hands-on lessons based upon the authors' considerable experience in enterprise integration, the 65 patterns included with this guide show how to use message-oriented middleware to connect enterprise applications. Found inside – Page iThis is not a book on traditional database administration for SQL Server. It focuses on all that is new for one of the most successful modernized data platforms in the industry. web2py is a free, open-source web framework for agile development of secure database-driven web applications; it is written in Python and programmable in Python. web2py is a full-stack framework, meaning that it contains all the components ... Found inside – Page iSnowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. Style and approach This book is an easy-to-follow, comprehensive guide on data science using Python. The topics covered in the book can all be used in real world scenarios. Style and approach This book will provide you with rich, practical experience of Flask. Every technology, that is employed along with Flask is comprehensively introduced, while the book focusses on developing web applications. Found insideThis evolutionary guide resulted from the a-ha moment between these two influencers at the top of their fields—one, an academic researcher and consultant, and the other, a longtime analytics practitioner and chief product officer at ... Found insideOver 60 practical recipes on data exploration and analysis About This Book Clean dirty data, extract accurate information, and explore the relationships between variables Forecast the output of an electric plant and the water flow of ... This book thoroughly covers SQLAlchemy's SQL construction API, database engine, metadata system, sophisticated object-relational mapper, dialects for multiple databases, and much more. Found insideBy the end of the book, you will acquire the skills to work more effectively with your data. 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