BIG DATA SAS TOOLS

BIG DATA  SAS TOOLS

The reduce job takes the output from a map as input and combines those data tuples into a smaller set of tuples. ... matter how big or small the amount of data you need to analyze, the key principles we're covering here remain the same.

Author: César Pérez López

Publisher: Lulu Press, Inc

ISBN: 9781008983465

Category: Computers

Page:

View: 952

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. 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. . 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). This book presents the SAS tools for work in big data analytics.
Categories: Computers

Big Data Concepts Methodologies Tools and Applications

Big Data  Concepts  Methodologies  Tools  and Applications

Job submissions are handled by having the user actor create a child actor to manage the job. ... As a simple example, a tag cloud algorithm has a specific set of input parameters that must be provided for a successful run.

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781466698413

Category: Computers

Page: 2478

View: 277

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
Categories: Computers

Big Data Tools Which When and How Volume II

Big Data Tools     Which  When and How   Volume    II

It is a tool or a platform used for analyzing large sets of data representing them as data flows. It employs the high-level language known as ... These operations describe a data flow which mask a series of MapReduce jobs from end user.

Author: Dr. Poornima G. Naik

Publisher: Shashwat Publication

ISBN: 9788194529187

Category: Computers

Page: 302

View: 564

Big data analytics emerged as a revolution in the field of information technology. It is the ability of the organization to stay agile which gives it a competitive edge over its competitors. Data harvesting and data analytics enable the organization identify new opportunities which in turn results in efficient operations, leads to smarter business moves and higher business turnovers. All these issues are addressed by big data analytics and its initiatives. Chapter 4 focuses on architecture of Pig, Apache Pig execution modes, Pig data types and operators. Apache Pig Latin data model is based on nested relations. The chapter provides description of different components of Pig Latin data model. The lab session includes installing Pig over Hadoop and exploring different Pig Latin operators.Chapter 5 deals with common services provides by zookeeper, architecture and components of zookeeper and zookeeper operation modes. The salient feature of the chapter is exploration of leader election algorithm and security of ZNodes through access control list. The chapter concludes with the hands-on lab sessions on installation of zookeeper and exposure to zookeeper command-line interface. Chapter 6 discusses different types of NoSQL databases, transformation rules from one data model to another and performs in-depth analysis of HBase data model. The features which are difficult to comprehend such as data compaction, data locality, HBase read and write operations are simplified with easy to understand figures and explanation. As a part of hands-on lab sessions, installation of HBase over Hadoop and exercises based on HBase general commands, DDL commands and DML commands are dealt with.
Categories: Computers

Big Tools for Young Thinkers

Big Tools for Young Thinkers

Using Creative Problem Solving Tools with Primary Students Susan Keller-Mathers, Kristin Puccio ... Five or six different pet stickers per student Matrix Worksheet Cut out a class set of two-inch red, green, and yellow squares.

Author: Susan Keller-Mathers

Publisher: PRUFROCK PRESS INC.

ISBN: 9781882664603

Category: Education

Page: 72

View: 959

Educational title for gifted and advanced learners.
Categories: Education

Bioinformatics Tools and Big Data Analytics for Patient Care

Bioinformatics Tools and Big Data Analytics for Patient Care

To handle the huge amount of experimental data on protein-ligand binding site pairs, Cloud-PLBS employs the MapReduce ... The master node retrieves SMAP jobs from the job queue on a regular basis and assigns them to slave nodes; ...

Author: Rishabha Malviya

Publisher: CRC Press

ISBN: 9781000638905

Category: Computers

Page: 240

View: 260

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: • Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. • Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. • Summarizes several strategies, analyses, and optimization methods for patient healthcare. • Focuses on drug discovery and development by cloud computing and data-driven research. The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.
Categories: Computers

BIG DATA ANALYTICS CONCEPTS AND TOOLS

BIG DATA ANALYTICS  CONCEPTS AND TOOLS

There is usually good information embedded in a large, broader set of nontraditional data: The essential challenge is to identify the valuable information, transform it and extract the data for analysis. From the suitably extracted and ...

Author: César Pérez López

Publisher: Lulu Press, Inc

ISBN: 9781008984622

Category: Computers

Page:

View: 510

Today's data analysis requires the use of statistical techniques to learn from data, highlight patterns and anomalies, predictions and professionals who know how to use them. The use of Big Data technologies not only allows us to increase processing capacity, it is also about finding those ideas that allow us to obtain the knowledge embedded in the data, as long as we have the profiles and experience to carry it out. For this reason, Analytics techniques (essentially Data Mining and Business Intelligence) and Big Data go hand in hand for the optimal exploitation of information. Professionals, with skills in mathematics, statistics and computer engineering, who are able to extract the maximum value from the organisation's data through Analytics, must work together with optimal Big Data infrastructures. The management and analysis of big data, structured and unstructured, applied in fields such as scientific research, health, security, social networks or media, among others, is a unique tool for companies to gain competitiveness and improve the life of citizens. This tool can only be optimised with the combined application of Analytics and Big Data techniques.
Categories: Computers

BIG DATA SAS IBM ORACLE AND MICROSOFT TOOLS

BIG DATA  SAS  IBM  ORACLE  AND MICROSOFT TOOLS

There is usually good information embedded in a large, broader set of nontraditional data: The essential challenge is to identify the valuable information, transform it and extract the data for analysis. From the suitably extracted and ...

Author: César Pérez López

Publisher: Lulu Press, Inc

ISBN: 9781008983601

Category: Computers

Page:

View: 529

Big Data is the processing and analysis of large amounts of data, the size of which makes it impossible to handle with conventional database and analytical tools. The proliferation of websites, image and video applications, social networks, mobile devices, apps, sensors and other modern devices capable of generating huge amounts of data have made it necessary to develop Big Data tools for their analysis. As for Big Data tools, there is a growing development. Oracle uses Exadata for these purposes, SAS uses Visual Analytics and other tools, Microsoft uses Windows Azure, IBM uses Modeler and other tools based in Hadoop. Oracle includes Hadoop in Oracle Big Data Appliance, Oracle Big Data Connectors and Oracle Loader for Hadoop. SAS incorporates Hadoop in its applications (SAS Base, SAS Data Integration, SAS Enterprise Guide, SAS Enterprise Miner, SAS Visual Analytics, SAS Visual Statistics and others). IBM works with Hadoop in its IBM InfoSphere BigInsights platform (BigInsights) and Microsoft incorporates Hadoop in the Windows Azure platform with its Big Data applications (HDInsight, Polybase and others).
Categories: Computers

BIG DATA TOOLS SAS VISUAL STATISTICS SAS HIGH PERFORMANCE ANALYTICS AND SAS IN MEMORY STATISTICS

BIG DATA TOOLS  SAS VISUAL STATISTICS  SAS HIGH PERFORMANCE ANALYTICS AND SAS IN MEMORY STATISTICS

Big data is produced in much larger quantities than traditional data. For example, a single jet engine can ... There is usually good information embedded in a large, broader set of nontraditional data: The essential challenge is to ...

Author: César Pérez López

Publisher: Lulu Press, Inc

ISBN: 9781008984028

Category: Computers

Page:

View: 892

SAS Visual Statistics is an add-on for SAS Visual Analytics that allows you to develop and test models using the in-memory capabilities of SAS LASR Analytic Server. SAS Analytics Visual Explorer (the explorer) allows you to explore, investigate, and visualize big data sources to discover relevant patterns. SAS Visual Estatistics extends these capabilities to create, test, and compare models based on the patterns discovered in the explorer. SAS Visual Estatistics can export the programming code, before or after performing the model comparison, for use with other SAS products and to put the model into production. SAS High-performance Analytics uses large volumes of data to perform data mining tasks such as pattern discovery, prediction and other typical mining tasks. It allows predictive models to be developed from whole data, not just subsets, so accurate insights can be obtained in minutes or seconds. The use of sophisticated analytics, the ability to work with large numbers of variables, frequent modelling iterations and other advanced features provide competitive advantages. With SAS In-Memory Statistics for Hadoop, is possible to work with rapid interactive analysis, statistical algorithms and machine learning techniques, random decision forests, descriptive statistics, analytical data preparation and Interactive in-memory programming.
Categories: Computers

The Definitive Guide to HR Management Tools Collection

The Definitive Guide to HR Management Tools  Collection

There is a 1/3 chance all jobs will be saved but a 2/3 chance that none of the 600 jobs will be saved. ... 1.1.5. Big Data and Information Overload We are in the age of very, very big data. Just how big? Pretty big.

Author: Alison Davis

Publisher: FT Press

ISBN: 9780133474473

Category: Business & Economics

Page: 1777

View: 718

A brand new collection of high-value HR techniques, skills, strategies, and metrics… now in a convenient e-format, at a great price! HR management for a new generation: 6 breakthrough eBooks help you help your people deliver more value on every metric that matters This unique 6 eBook package presents all the tools you need to tightly link HR strategy with business goals, systematically optimize the value of all your HR investments, and take your seat at the table where enterprise decisions are made. In The Definitive Guide to HR Communication: Engaging Employees in Benefits, Pay, and Performance, Alison Davis and Jane Shannon help you improve the effectiveness of every HR message you deliver. Learn how to treat employees as customers… clarify their needs and motivations … leverage the same strategies and tools your company uses to sell products and services… package information for faster, better decision-making… clearly explain benefits, pay, and policies… improve recruiting, orientation, outplacement, and much more. In Investing in People, Second Edition, Wayne Cascio and John W. Boudreau help you use metrics to improve HR decision-making, optimize organizational effectiveness, and increase the value of strategic investments. You'll master powerful solutions for integrating HR with enterprise strategy and budgeting -- and for gaining commitment from business leaders outside HR. In Financial Analysis for HR Managers, Dr. Steven Director teaches the financial analysis skills you need to become a true strategic business partner, and get boardroom and CFO buy-in for your high-priority initiatives. Director covers everything HR pros need to formulate, model, and evaluate HR initiatives from a financial perspective. He walks through crucial financial issues associated with strategic talent management, offering cost-benefit analyses of HR and strategic financial initiatives, and even addressing issues related to total rewards programs. In Applying Advanced Analytics to HR Management Decisions , pioneering HR technology expert James C. Sesil shows how to use advanced analytics and "Big Data" to optimize decisions about performance management, strategy alignment, collaboration, workforce/succession planning, talent acquisition, career development, corporate learning, and more. You'll learn how to integrate business intelligence, ERP, Strategy Maps, Talent Management Suites, and advanced analytics -- and use them together to make far more robust choices. In Compensation and Benefit Design , world-renowned compensation expert Bashker D. Biswas helps you bring financial rigor to compensation and benefit program development. He introduces a powerful Human Resource Life Cycle Model for considering compensation and benefit programs… fully addresses issues related to acquisition, general compensation, equity compensation, and pension accounting… assesses the full financial impact of executive compensation and employee benefit programs… and discusses the unique issues associated with international HR programs. Finally, in People Analytics, Ben Waber helps you discover powerful hidden social "levers" and networks within your company, and tweak them to dramatically improve business performance and employee fulfillment. Drawing on his cutting-edge work at MIT and Harvard, Waber shows how sensors and analytics can give you an unprecedented understanding of how your people work and collaborate, and actionable insights for building a more effective, productive, and positive organization. Whatever your HR role, these 6 eBooks will help you apply today's most advanced innovations and best practices to optimize workplace performance -- and drive unprecedented business value. From world-renowned human resources experts Alison Davis, Jane Shannon, Wayne Cascio, John W. Boudreau, Steven Director, James C. Sesil, Bashker D. Biswas, and Ben Waber .
Categories: Business & Economics

Managing and Processing Big Data in Cloud Computing

Managing and Processing Big Data in Cloud Computing

FileOutputFormat.setOutputPath(conf, new Path(args[1])); 54. 55. JobClient.runJob(conf); 57. } 58. } 59. ... Hadoop along with its processing tools provide a way to store big data in a fully virtualized manner (on HDFS).

Author: Kannan, Rajkumar

Publisher: IGI Global

ISBN: 9781466697683

Category: Computers

Page: 307

View: 301

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.
Categories: Computers