Big Data Sas Tools
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Big Data
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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.
Big Data Analytics With Sas
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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.
Big Data Sas Tools
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Author : Perez Lopez Cesar Perez Lopez
language : en
Publisher:
Release Date : 2021
Big Data Sas Tools 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.
Practical Business Analytics Using Sas
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Author : Shailendra Kadre
language : en
Publisher: Apress
Release Date : 2015-02-07
Practical Business Analytics Using Sas written by Shailendra Kadre and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-07 with Computers categories.
Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.
Big Data Analytics Through Sas
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Author : Cesar Perez
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2014-12-26
Big Data Analytics Through Sas written by Cesar Perez and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-26 with categories.
Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. With big data analytics, data scientists and others can analyze huge volumes of data that conventional analytics and business intelligence solutions can't touch. Consider this; it's possible that your organization could accumulate (if it hasn't already) billions of rows of data with hundreds of millions of data combinations in multiple data stores and abundant formats. High-performance analytics is necessary to process that much data in order to figure out what's important and what isn't. Using big data analytics you can extract only the relevant information from terabytes, petabytes and exabytes, and analyze it to transform your business decisions for the future. Becoming proactive with big data analytics isn't a one-time endeavor; it is more of a culture change - a new way of gaining ground by freeing your analysts and decision makers to meet the future with sound knowledge and insight. SAS support for big data implementations, including Hadoop. 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 sectors of big data, Business Intelligence and Analytics. 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.
Big Data With Sas Visual Analytics
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Author : Cesar Lopez Perez
language : en
Publisher: CreateSpace
Release Date : 2014-01
Big Data With Sas Visual Analytics written by Cesar Lopez Perez and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01 with Computers categories.
Is known as Big Data the treatment and analysis of large amounts of data, whose size makes it impossible to treat them with databases and conventional analytical tools. The proliferation of web pages, applications, image and video, social networks, mobile devices, apps, sensors and other modern devices capable of generating huge amounts of data have necessitated the development of Big Data Tools for analysis. We talk about an absolutely relevant environment for many aspects, from the analysis of phenomena, such as climate or seismographic data, to environments such as health, safety, or, of course, the business field. As for Big Data Tools, there is a growing development. Oracle uses Exadata for these purposes, SAS uses Visual Analytics and open-source Hadoop, a framework that is highly popular in this field that enables applications to work with huge repositories of data and thousands of nodes, inspired by Google tools like MapReduce and Google File System, or NoSQL, non-relational database systems needed to hold and process the enormous complexity of all data generated highlights, and in many cases do not follow the logic of the ACID (atomicity, consistency, isolation, durability) guarantees characteristic of conventional databases. This book delves into the treatment of the techniques of BIG DATA with SAS VISUAL ANALYTICS application
Big Data Tools Sas Visual Statistics Sas High Performance Analytics And Sas In Memory Statistics
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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.
Learn Business Analytics In Six Steps Using Sas And R
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Author : Subhashini Sharma Tripathi
language : en
Publisher: Apress
Release Date : 2016-12-19
Learn Business Analytics In Six Steps Using Sas And R written by Subhashini Sharma Tripathi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-19 with Computers categories.
Apply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster. Learn Business Analytics in Six Steps Using SAS and R teaches you how to solve problems and execute projects through the "DCOVA and I" (Define, Collect, Organize, Visualize, Analyze, and Insights) process. You no longer need to choose between the two most popular software tools. This book puts the best of both worlds—SAS and R—at your fingertips to solve a myriad of problems, whether relating to data science, finance, web usage, product development, or any other business discipline. What You'll Learn Use the DCOVA and I process: Define, Collect, Organize, Visualize, Analyze and Insights. Harness both SAS and R, the star analytics technologies in the industry Use various tools to solve significant business challenges Understand how the tools relate to business analytics See seven case studies for hands-on practice Who This Book Is For This book is for all IT professionals, especially data analysts, as well as anyone who Likes to solve business problems and is good with logical thinking and numbers Wants to enter the analytics world and is looking for a structured book to reach that goal Is currently working on SAS , R, or any other analytics software and strives to use its full power
End To End Data Science With Sas
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Author : James Gearheart
language : en
Publisher: SAS Institute
Release Date : 2020-06-26
End To End Data Science With Sas written by James Gearheart and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-26 with Computers categories.
Learn data science concepts with real-world examples in SAS! End-to-End Data Science with SAS: A Hands-On Programming Guide provides clear and practical explanations of the data science environment, machine learning techniques, and the SAS programming knowledge necessary to develop machine learning models in any industry. The book covers concepts including understanding the business need, creating a modeling data set, linear regression, parametric classification models, and non-parametric classification models. Real-world business examples and example code are used to demonstrate each process step-by-step. Although a significant amount of background information and supporting mathematics are presented, the book is not structured as a textbook, but rather it is a user’s guide for the application of data science and machine learning in a business environment. Readers will learn how to think like a data scientist, wrangle messy data, choose a model, and evaluate the model’s effectiveness. New data scientists or professionals who want more experience with SAS will find this book to be an invaluable reference. Take your data science career to the next level by mastering SAS programming for machine learning models.
Big Data For Dummies
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Author : Judith S. Hurwitz
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-02
Big Data For Dummies written by Judith S. Hurwitz 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 2013-04-02 with Computers categories.
Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations. Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept. You'll learn what it is, why itmatters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importanceto businesses, not-for-profit organizations, government, and ITprofessionals Authors are experts in information management, big data, and avariety of solutions Explains big data in detail and discusses how to select andimplement a solution, security concerns to consider, data storageand presentation issues, analytics, and much more Provides essential information in a no-nonsense,easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helpsyou take charge of big data solutions for your organization.