Big Data Tools Sas Visual Statistics Sas High Performance Analytics And Sas In Memory Statistics
DOWNLOAD eBooks
Download Big Data Tools Sas Visual Statistics Sas High Performance Analytics And Sas In Memory Statistics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Big Data Tools Sas Visual Statistics Sas High Performance Analytics And Sas In Memory Statistics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Big Data Tools Sas Visual Statistics Sas High Performance Analytics And Sas In Memory Statistics
DOWNLOAD eBooks
Author : Perez Lopez Cesar Perez Lopez
language : en
Publisher:
Release Date : 2021
Big Data Tools Sas Visual Statistics Sas High Performance Analytics And Sas In Memory Statistics written by Perez Lopez Cesar Perez Lopez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Big Data
DOWNLOAD eBooks
Author : James Braselton
language : en
Publisher: CreateSpace
Release Date : 2014-08-14
Big Data written by James Braselton and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-14 with Computers categories.
People and organizations have attempted to tackle the problem to analyze massive volumes of data from many different angles. SAS uses multicore technologies to deliver increased processing capabilities through high-performance, in-database and in-memory analytics resulting in greater insights more quickly from big data and streaming data. Important foundational updates allow you to deploy SAS in the manner that best suits your needs. The angle that is currently leading the pack in terms of popularity for massive data analysis is an open source project called Hadoop. Hadoop is also shipped as part of SAS tools. SAS incorporated Hadoop into their applications (SAS Base, SAS Data Integration, Sas Enterpris Guide, SAS Enterprise Miner, ...). Same SAS aplications works in-memory on Hadoop (In-memory Statistics, SAS Visual Analytics and SAS Visual Statistics). SAS support for big data implementations, including Hadoop, centers on a singular goal - helping you know more, faster, so you can make better decisions. Regardless of how you use the technology, every project should go through an iterative and continuous improvement cycle. And that includes data preparation and management, data visualization and exploration, model development, model deployment and monitoring. Also throught SAS and Hadoop is possible work in all steps of Analytical Process: Identify/formulate Problem, Data Preparation, Data Exploration, Transform and select, Buil Model, Validate model, Deploy Model and Evaluate/Monitor Results. This book presents the work possibilities that SAS offers in the modern sector of big data. The most important tools of SAS are presented for processing and analyzing large volumes of data in an orderly manner. In turn, these tools allow also extract the knowledge contained in the data.
Exploring Sas Viya
DOWNLOAD eBooks
Author : Sas Education
language : en
Publisher:
Release Date : 2019-06-14
Exploring Sas Viya written by Sas Education and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-14 with categories.
This first book in the series covers how to access data files, libraries, and existing code in SAS Studio. You also learn about new procedures in SAS Viya, how to write new code, and how to use some of the pre-installed tasks that come with SAS Visual Data Mining and Machine Learning. In the last chapter, you learn how to use the features in SAS Data Preparation to perform data management tasks using SAS Data Explorer, SAS Data Studio, and SAS Lineage Viewer. Also available free as a PDF from sas.com/books.
Visual Analytics With Sas Viya
DOWNLOAD eBooks
Author :
language : en
Publisher:
Release Date : 2019-06-21
Visual Analytics With Sas Viya written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-21 with categories.
SAS Visual Analytics is a business intelligence and analytics platform that provides visual exploration and discovery, self-service analytics, and interactive reporting for organizations of all sizes. All organizations have a wide variety of users, and each user needs something different from data and analytics. SAS Visual Analytics allows everyone to easily discover and share powerful insights that inspire action. Several useful papers have been written to demonstrate how to use these techniques. We have carefully selected a handful of these from recent Global Forum contributions to introduce you to the topic and let you sample what each has to offer. Also available free as a PDF from sas.com/books.
Visual Statistics
DOWNLOAD eBooks
Author : Forrest W. Young
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-15
Visual Statistics written by Forrest W. Young and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-15 with Mathematics categories.
A visually intuitive approach to statistical data analysis Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and available free of charge on the Internet-students can easily create fully interactive visualizations from relevant mathematical statistics, promoting perceptual and cognitive understanding of the data's story. An emphasis is placed on a paradigm for understanding data that is visual, intuitive, geometric, and active, rather than one that relies on convoluted logic, heavy mathematics, systems of algebraic equations, or passive acceptance of results. A companion Web site complements the book by further demonstrating the concept of creating interactive and dynamic graphics. The book provides users with the opportunity to view the graphics in a dynamic way by illustrating how to analyze statistical data and explore the concepts of visual statistics. Visual Statistics addresses and features the following topics: * Why use dynamic graphics? * A history of statistical graphics * Visual statistics and the graphical user interface * Visual statistics and the scientific method * Character-based statistical interface objects * Graphics-based statistical interfaces * Visualization for exploring univariate data This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics, mathematics, science, engineering, and computer science, as well as for graduate-level courses in mathematics. The book is also ideal as a reference/self-study guide for engineers, scientists, and mathematicians. With contributions by highly regarded professionals in the field, Visual Statistics not only improves a student's understanding of statistics, but also builds confidence to overcome problems that may have previously been intimidating.
Big Data Analytics With Sas
DOWNLOAD eBooks
Author : David Pope
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-11-23
Big Data Analytics With Sas written by David Pope and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-23 with Computers categories.
Leverage the capabilities of SAS to process and analyze Big Data About This Book Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory. What You Will Learn Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems. In Detail SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data. The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS. Style and approach The book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both up and out which allows the power of SAS to combine with open source offerings such as Hadoop, Python, and R.
Sas Visual Analytics 5 2
DOWNLOAD eBooks
Author : SAS Institute
language : en
Publisher: SAS Institute
Release Date : 2014-05-14
Sas Visual Analytics 5 2 written by SAS Institute and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with MATHEMATICS categories.
Provides step-by-step instructions for performing tasks such as preparing data, exploring data, and designing reports using SAS Visual Analytics. This guide also explains how to view reports on a mobile device or in a Web browser and how to use the SAS High-Performance Computing Management Console to manage high-performance computing environments that use SAS software. This title is also available online.
Sas Visual Analytics For Sas Viya
DOWNLOAD eBooks
Author : SAS
language : en
Publisher: SAS Institute
Release Date : 2020-12-07
Sas Visual Analytics For Sas Viya written by SAS and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-07 with Computers categories.
Discover your data and create reports in an elegant and intuitive web-based interface! SAS Visual Analytics for SAS Viya is a practical guide designed to get you started investigating your data and creating reports with SAS Visual Analytics, a web-based tool that enables you to explore huge volumes of data to identify patterns, trends, and opportunities. Learn how to report, share, and collaborate on insights from data with no SAS programming skills necessary – this book is accessible to all, including decision makers, business analysts, report creators, and citizen data scientists. SAS Visual Analytics for SAS Viya first introduces the basics needed to prepare and explore your data, make discoveries, and create a report in SAS Visual Analytics. Then, the second section describes more advanced topics, such as using automated explanation and creating advanced interactive reports with parameters. The book covers: Adding and manipulating data items within SAS Visual Analytics Analyzing data with SAS Visual Analytics Designing and sharing reports using SAS Visual Analytics Demonstrations and practices are included for you to follow to gain hands-on experience with SAS Visual Analytics, and the data sets used in the book are also provided to download.
Sas Viya
DOWNLOAD eBooks
Author : Yue Qi
language : en
Publisher: SAS Institute
Release Date : 2018-07-20
Sas Viya written by Yue Qi and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-20 with Computers categories.
Learn how to access analytics from SAS Cloud Analytic Services (CAS) using R and the SAS Viya platform. SAS Viya : The R Perspective is a general-purpose introduction to using R with the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. This 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. The central piece of this ecosystem is SAS Cloud Analytic Services (CAS). CAS is the cloud-based server that all clients communicate with to run analytical methods. While SAS Viya can be used by various SAS applications, it also enables you to access analytic methods from SAS, R, Python, Lua, and Java, as well as through a REST interface using HTTP or HTTPS. The R client is used to drive the CAS component directly using commands and actions that are familiar to R programmers. Key features of this book include: Connecting to CAS from R Loading, managing, and exploring CAS Data from R Executing CAS actions and processing the results Handling CAS action errors Modeling continuous and categorical data This book is intended for R users who want to access SAS analytics as well as SAS users who are interested in trying R. Familiarity with R would be helpful before using this book although knowledge of CAS is not required. However, you will need to have a CAS server set up and running to execute the examples in this book.
Insightful Data Visualization With Sas Viya
DOWNLOAD eBooks
Author : Falko Schulz
language : en
Publisher: SAS Institute
Release Date : 2020-10-26
Insightful Data Visualization With Sas Viya written by Falko Schulz and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-26 with Computers categories.
Elevate your storytelling with SAS Visual Analytics Data visualization is the gateway to artificial intelligence (AI) and big data. Insightful Data Visualization with SAS Viya shows how the latest SAS Viya tools can be used to create data visualizations in an easier, smarter, and more engaging way than ever before. SAS Visual Analytics combined with human creativity can produce endless possibilities. In this book, you will learn tips and techniques for getting the most from your SAS Visual Analytics investment. From beginners to advanced SAS users, this book has something for everyone. Use AI wizards to create data visualization automatically, learn to use advanced analytics in your dashboards to surface smarter insights, and learn to extend SAS Visual Analytics with advanced integrations and options. Topics covered in this book include: SAS Visual Analytics Data visualization with SAS Reports and dashboards SAS code examples Self-service analytics SAS data access Extending SAS beyond drag and drop