Big Data Analytics Using Splunk

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Author :
Publisher : Apress
ISBN 13 : 1430257628
Total Pages : 362 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Big Data Analytics Using Splunk by : Peter Zadrozny

Download or read book Big Data Analytics Using Splunk written by Peter Zadrozny and published by Apress. This book was released on 2013-08-23 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring. Gone are the days when you need be caught out by shifting public opinion or sudden changes in customer behavior. Splunk’s easy to use engine helps you recognize and react in real time, as events are occurring. Splunk is a powerful, yet simple analytical tool fast gaining traction in the fields of big data and operational intelligence. Using Splunk, you can monitor data in real time, or mine your data after the fact. Splunk’s stunning visualizations aid in locating the needle of value in a haystack of a data. Geolocation support spreads your data across a map, allowing you to drill down to geographic areas of interest. Alerts can run in the background and trigger to warn you of shifts or events as they are taking place. With Splunk you can immediately recognize and react to changing trends and shifting public opinion as expressed through social media, and to new patterns of eCommerce and customer behavior. The ability to immediately recognize and react to changing trends provides a tremendous advantage in today’s fast-paced world of Internet business. Big Data Analytics Using Splunk opens the door to an exciting world of real-time operational intelligence. Built around hands-on projects Shows how to mine social media Opens the door to real-time operational intelligence

Big Data Analytics Using Splunk

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Author :
Publisher : Apress
ISBN 13 : 143025761X
Total Pages : 362 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Big Data Analytics Using Splunk by : Peter Zadrozny

Download or read book Big Data Analytics Using Splunk written by Peter Zadrozny and published by Apress. This book was released on 2013-05-20 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze web server log files and patterns of user access in real time, as the access is occurring.

Advanced Splunk

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1785881213
Total Pages : 348 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Advanced Splunk by : Ashish Kumar Tulsiram Yadav

Download or read book Advanced Splunk written by Ashish Kumar Tulsiram Yadav and published by Packt Publishing Ltd. This book was released on 2016-06-13 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of getting the maximum out of your machine data using Splunk About This Book A practical and comprehensive guide to the advanced functions of Splunk,, including the new features of Splunk 6.3 Develop and manage your own Splunk apps for greater insight from your machine data Full coverage of high-level Splunk techniques including advanced searches, manipulations, and visualization Who This Book Is For This book is for Splunk developers looking to learn advanced strategies to deal with big data from an enterprise architectural perspective. It is expected that readers have a basic understanding and knowledge of using Splunk Enterprise. What You Will Learn Find out how to develop and manage apps in Splunk Work with important search commands to perform data analytics on uploaded data Create visualizations in Splunk Explore tweaking Splunk Integrate Splunk with any pre-existing application to perform data crunching efficiently and in real time Make your big data speak with analytics and visualizations using Splunk Use SDK and Enterprise integration with tools such as R and Tableau In Detail Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization – the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how. Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery. Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk. Style and approach This book follows a step by step approach. Every new concept is built on top of its previous chapter, and it is full of examples and practical scenarios to help the reader experiment as they read.

Data Analytics Using Splunk 9.x

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1803245484
Total Pages : 336 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Data Analytics Using Splunk 9.x by : Dr. Nadine Shillingford

Download or read book Data Analytics Using Splunk 9.x written by Dr. Nadine Shillingford and published by Packt Publishing Ltd. This book was released on 2023-01-20 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make the most of Splunk 9.x to build insightful reports and dashboards with a detailed walk-through of its extensive features and capabilities Key Features Be well-versed with the Splunk 9. x architecture, installation, onboarding, and indexing data features Create advanced visualizations using the Splunk search processing language Explore advanced Splunk administration techniques, including clustering, data modeling, and container management Book DescriptionSplunk 9 improves on the existing Splunk tool to include important features such as federated search, observability, performance improvements, and dashboarding. This book helps you to make the best use of the impressive and new features to prepare a Splunk installation that can be employed in the data analysis process. Starting with an introduction to the different Splunk components, such as indexers, search heads, and forwarders, this Splunk book takes you through the step-by-step installation and configuration instructions for basic Splunk components using Amazon Web Services (AWS) instances. You’ll import the BOTS v1 dataset into a search head and begin exploring data using the Splunk Search Processing Language (SPL), covering various types of Splunk commands, lookups, and macros. After that, you’ll create tables, charts, and dashboards using Splunk’s new Dashboard Studio, and then advance to work with clustering, container management, data models, federated search, bucket merging, and more. By the end of the book, you’ll not only have learned everything about the latest features of Splunk 9 but also have a solid understanding of the performance tuning techniques in the latest version.What you will learn Install and configure the Splunk 9 environment Create advanced dashboards using the flexible layout options in Dashboard Studio Understand the Splunk licensing models Create tables and make use of the various types of charts available in Splunk 9.x Explore the new configuration management features Implement the performance improvements introduced in Splunk 9.x Integrate Splunk with Kubernetes for optimizing CI/CD management Who this book is for The book is for data analysts, Splunk users, and administrators who want to become well-versed in the data analytics services offered by Splunk 9. You need to have a basic understanding of Splunk fundamentals to get the most out of this book.

Exploring Splunk

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Author :
Publisher : Cito Research
ISBN 13 : 9780982550670
Total Pages : 168 pages
Book Rating : 4.5/5 (56 download)

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Book Synopsis Exploring Splunk by : David Carasso

Download or read book Exploring Splunk written by David Carasso and published by Cito Research. This book was released on 2012 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data has incredible business value, and Splunk is the best tool for unlocking that value. Exploring Splunk shows you how to pinpoint answers and find patterns obscured by the flood of machinegenerated data. This book uses an engaging, visual presentation style that quickly familiarizes you with how to use Splunk. You'll move from mastering Splunk basics to creatively solving real-world problems, finding the gems hidden in big data.

Mastering Splunk

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1782173846
Total Pages : 489 pages
Book Rating : 4.7/5 (821 download)

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Book Synopsis Mastering Splunk by : James Miller

Download or read book Mastering Splunk written by James Miller and published by Packt Publishing Ltd. This book was released on 2014-12-17 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for those Splunk developers who want to learn advanced strategies to deal with big data from an enterprise architectural perspective. You need to have good working knowledge of Splunk.

Splunk 7.x Quick Start Guide

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1789538025
Total Pages : 290 pages
Book Rating : 4.7/5 (895 download)

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Book Synopsis Splunk 7.x Quick Start Guide by : James H. Baxter

Download or read book Splunk 7.x Quick Start Guide written by James H. Baxter and published by Packt Publishing Ltd. This book was released on 2018-11-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to architect, implement, and administer a complex Splunk Enterprise environment and extract valuable insights from business data. Key FeaturesUnderstand the various components of Splunk and how they work together to provide a powerful Big Data analytics solution. Collect and index data from a wide variety of common machine data sourcesDesign searches, reports, and dashboard visualizations to provide business data insightsBook Description Splunk is a leading platform and solution for collecting, searching, and extracting value from ever increasing amounts of big data - and big data is eating the world! This book covers all the crucial Splunk topics and gives you the information and examples to get the immediate job done. You will find enough insights to support further research and use Splunk to suit any business environment or situation. Splunk 7.x Quick Start Guide gives you a thorough understanding of how Splunk works. You will learn about all the critical tasks for architecting, implementing, administering, and utilizing Splunk Enterprise to collect, store, retrieve, format, analyze, and visualize machine data. You will find step-by-step examples based on real-world experience and practical use cases that are applicable to all Splunk environments. There is a careful balance between adequate coverage of all the critical topics with short but relevant deep-dives into the configuration options and steps to carry out the day-to-day tasks that matter. By the end of the book, you will be a confident and proficient Splunk architect and administrator. What you will learnDesign and implement a complex Splunk Enterprise solutionConfigure your Splunk environment to get machine data in and indexedBuild searches to get and format data for analysis and visualizationBuild reports, dashboards, and alerts to deliver critical insightsCreate knowledge objects to enhance the value of your dataInstall Splunk apps to provide focused views into key technologiesMonitor, troubleshoot, and manage your Splunk environmentWho this book is for This book is intended for experienced IT personnel who are just getting started working with Splunk and want to quickly become proficient with its usage. Data analysts who need to leverage Splunk to extract critical business insights from application logs and other machine data sources will also benefit from this book.

Splunk 7 Essentials, Third Edition

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1788830121
Total Pages : 213 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Splunk 7 Essentials, Third Edition by : J-P Contreras

Download or read book Splunk 7 Essentials, Third Edition written by J-P Contreras and published by Packt Publishing Ltd. This book was released on 2018-03-29 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transform machine data into powerful analytical intelligence using Splunk Key Features Analyze and visualize machine data to step into the world of Splunk! Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business This easy-to-follow, practical book can be used by anyone - even if you have never managed data before Book Description Splunk is a search, reporting, and analytics software platform for machine data, which has an ever-growing market adoption rate. More organizations than ever are adopting Splunk to make informed decisions in areas such as IT operations, information security, and the Internet of Things. The first two chapters of the book will get you started with a simple Splunk installation and set up of a sample machine data generator, called Eventgen. After this, you will learn to create various reports, dashboards, and alerts. You will also explore Splunk's Pivot functionality to model data for business users. You will then have the opportunity to test-drive Splunk's powerful HTTP Event Collector. After covering the core Splunk functionality, you'll be provided with some real-world best practices for using Splunk, and information on how to build upon what you've learned in this book. Throughout the book, there will be additional comments and best practice recommendations from a member of the SplunkTrust Community, called "Tips from the Fez". What you will learn Install and configure Splunk for personal use Store event data in Splunk indexes, classify events into sources, and add data fields Learn essential Splunk Search Processing Language commands and best practices Create powerful real-time or user-input dashboards Be proactive by implementing alerts and scheduled reports Tips from the Fez: best practices using Splunk features and add-ons Understand security and deployment considerations for taking Splunk to an organizational level Who this book is for This book is for the beginners who want to get well versed in the services offered by Splunk 7. If you want to be a data/business analyst or want to be a system administrator, this book is what you want. No prior knowledge of Splunk is required.

Big Data Visualization

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Publisher : Packt Publishing Ltd
ISBN 13 : 1785284169
Total Pages : 299 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Big Data Visualization by : James D. Miller

Download or read book Big Data Visualization written by James D. Miller and published by Packt Publishing Ltd. This book was released on 2017-02-28 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Who This Book Is For This book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations. What You Will Learn Understand how basic analytics is affected by big data Deep dive into effective and efficient ways of visualizing big data Get to know various approaches (using various technologies) to address the challenges of visualizing big data Comprehend the concepts and models used to visualize big data Know how to visualize big data in real time and for different use cases Understand how to integrate popular dashboard visualization tools such as Splunk and Tableau Get to know the value and process of integrating visual big data with BI tools such as Tableau Make sense of the visualization options for big data, based upon the best suited visualization techniques for big data In Detail When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations. This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore "big data oriented" tools such as Hadoop and Tableau. We will show you how data changes with different variables and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics. The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI. Style and approach With the help of insightful real-world use cases, we'll tackle data in the world of big data. The scalability and hugeness of the data makes big data visualizations different from normal data visualizations, and this book addresses all the difficulties encountered by professionals while visualizing their big data.

Big Data Management And Analytics

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Author :
Publisher : World Scientific
ISBN 13 : 9811257132
Total Pages : 288 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Big Data Management And Analytics by : Brij B Gupta

Download or read book Big Data Management And Analytics written by Brij B Gupta and published by World Scientific. This book was released on 2023-12-05 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.

Business Analytics

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Publisher : CRC Press
ISBN 13 : 1466596104
Total Pages : 274 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Business Analytics by : Jay Liebowitz

Download or read book Business Analytics written by Jay Liebowitz and published by CRC Press. This book was released on 2013-12-19 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making cap

Improving Your Splunk Skills

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1838981020
Total Pages : 669 pages
Book Rating : 4.8/5 (389 download)

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Book Synopsis Improving Your Splunk Skills by : James D. Miller

Download or read book Improving Your Splunk Skills written by James D. Miller and published by Packt Publishing Ltd. This book was released on 2019-08-22 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transform machine-generated data into valuable business insights using the powers of Splunk Key FeaturesExplore the all-new machine learning toolkit in Splunk 7.xTackle any problems related to searching and analyzing your data with SplunkGet the latest information and business insights on Splunk 7.xBook Description Splunk makes it easy for you to take control of your data and drive your business with the cutting edge of operational intelligence and business analytics. Through this Learning Path, you'll implement new services and utilize them to quickly and efficiently process machine-generated big data. You'll begin with an introduction to the new features, improvements, and offerings of Splunk 7. You'll learn to efficiently use wildcards and modify your search to make it faster. You'll learn how to enhance your applications by using XML dashboards and configuring and extending Splunk. You'll also find step-by-step demonstrations that'll walk you through building an operational intelligence application. As you progress, you'll explore data models and pivots to extend your intelligence capabilities. By the end of this Learning Path, you'll have the skills and confidence to implement various Splunk services in your projects. This Learning Path includes content from the following Packt products: Implementing Splunk 7 - Third Edition by James MillerSplunk Operational Intelligence Cookbook - Third Edition by Paul R Johnson, Josh Diakun, et alWhat you will learnMaster the new offerings in Splunk: Splunk Cloud and the Machine Learning ToolkitCreate efficient and effective searchesMaster the use of Splunk tables, charts, and graph enhancementsUse Splunk data models and pivots with faster data model accelerationMaster all aspects of Splunk XML dashboards with hands-on applicationsApply ML algorithms for forecasting and anomaly detectionIntegrate advanced JavaScript charts and leverage Splunk's APIWho this book is for This Learning Path is for data analysts, business analysts, and IT administrators who want to leverage the Splunk enterprise platform as a valuable operational intelligence tool. Existing Splunk users who want to upgrade and get up and running with Splunk 7.x will also find this book useful. Some knowledge of Splunk services will help you get the most out of this Learning Path.

Big Data Technologies and Applications

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Author :
Publisher : Springer
ISBN 13 : 3319445502
Total Pages : 405 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Big Data Technologies and Applications by : Borko Furht

Download or read book Big Data Technologies and Applications written by Borko Furht and published by Springer. This book was released on 2016-09-16 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

Handbook of Research on Cloud Infrastructures for Big Data Analytics

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Author :
Publisher : IGI Global
ISBN 13 : 1466658657
Total Pages : 592 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Cloud Infrastructures for Big Data Analytics by : Raj, Pethuru

Download or read book Handbook of Research on Cloud Infrastructures for Big Data Analytics written by Raj, Pethuru and published by IGI Global. This book was released on 2014-03-31 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Encyclopedia of Information Science and Technology, Fifth Edition

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Author :
Publisher : IGI Global
ISBN 13 : 1799834808
Total Pages : 1966 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Encyclopedia of Information Science and Technology, Fifth Edition by : Khosrow-Pour D.B.A., Mehdi

Download or read book Encyclopedia of Information Science and Technology, Fifth Edition written by Khosrow-Pour D.B.A., Mehdi and published by IGI Global. This book was released on 2020-07-24 with total page 1966 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of intelligence and computation within technology has created an eruption of potential applications in numerous professional industries. Techniques such as data analysis, cloud computing, machine learning, and others have altered the traditional processes of various disciplines including healthcare, economics, transportation, and politics. Information technology in today’s world is beginning to uncover opportunities for experts in these fields that they are not yet aware of. The exposure of specific instances in which these devices are being implemented will assist other specialists in how to successfully utilize these transformative tools with the appropriate amount of discretion, safety, and awareness. Considering the level of diverse uses and practices throughout the globe, the fifth edition of the Encyclopedia of Information Science and Technology series continues the enduring legacy set forth by its predecessors as a premier reference that contributes the most cutting-edge concepts and methodologies to the research community. The Encyclopedia of Information Science and Technology, Fifth Edition is a three-volume set that includes 136 original and previously unpublished research chapters that present multidisciplinary research and expert insights into new methods and processes for understanding modern technological tools and their applications as well as emerging theories and ethical controversies surrounding the field of information science. Highlighting a wide range of topics such as natural language processing, decision support systems, and electronic government, this book offers strategies for implementing smart devices and analytics into various professional disciplines. The techniques discussed in this publication are ideal for IT professionals, developers, computer scientists, practitioners, managers, policymakers, engineers, data analysts, and programmers seeking to understand the latest developments within this field and who are looking to apply new tools and policies in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to software engineering, cybersecurity, information technology, media and communications, urban planning, computer science, healthcare, economics, environmental science, data management, and political science will benefit from the extensive knowledge compiled within this publication.

Big Data in Practice

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119231396
Total Pages : 320 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big Data in Practice by : Bernard Marr

Download or read book Big Data in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2016-03-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Big Data Analytics in Cybersecurity

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Author :
Publisher : CRC Press
ISBN 13 : 1498772161
Total Pages : 336 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data Analytics in Cybersecurity by : Onur Savas

Download or read book Big Data Analytics in Cybersecurity written by Onur Savas and published by CRC Press. This book was released on 2017-09-18 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.