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Author: IBM
Publisher: IBM Redbooks
ISBN: 0738458252
Category : Computers
Languages : en
Pages : 28
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Book Description
This document is intended to facilitate the deployment of the Splunk Enterprise Solutions using IBM All Flash Array systems for the Hot and Warm tiers, and IBM Elastic Storage System for the Cold and Frozen tiers. This document provides the reference architecture and configuration guidelines for the IBM Storage systems. The information in this document is distributed on an "as is" basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM Storage Systems are supported, entitled and where the issues are specific to a blueprint implementation.
Author: IBM
Publisher: IBM Redbooks
ISBN: 0738458252
Category : Computers
Languages : en
Pages : 28
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Book Description
This document is intended to facilitate the deployment of the Splunk Enterprise Solutions using IBM All Flash Array systems for the Hot and Warm tiers, and IBM Elastic Storage System for the Cold and Frozen tiers. This document provides the reference architecture and configuration guidelines for the IBM Storage systems. The information in this document is distributed on an "as is" basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM Storage Systems are supported, entitled and where the issues are specific to a blueprint implementation.
Author: Hemant Kantak
Publisher: IBM Redbooks
ISBN: 0738460974
Category : Computers
Languages : en
Pages : 42
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Book Description
The focus of this document is to highlight early threat detection by using Splunk Enterprise and proactively start a cyber resilience workflow in response to a cyberattack or malicious user action. The workflow uses IBM® Copy Services Manager (CSM) as orchestration software to invoke the IBM FlashSystem® storage Safeguarded Copy function, which creates an immutable copy of the data in an air-gapped form on the same IBM FlashSystem Storage for isolation and eventual quick recovery. This document explains the steps that are required to enable and forward IBM FlashSystem audit logs and set a Splunk forwarder configuration to forward local event logs to Splunk Enterprise. This document also describes how to create various alerts in Splunk Enterprise to determine a threat, and configure and invoke an appropriate response to the detected threat in Splunk Enterprise. This document explains the lab setup configuration steps that are involved in configuring various components like Splunk Enterprise, Splunk Enterprise config files for custom apps, IBM CSM, and IBM FlashSystem Storage. The last steps in the lab setup section demonstrate the automated Safeguarded Copy creation and validation steps. This document also describes brief steps for configuring various components and integrating them. This document demonstrates a use case for protecting a Microsoft SQL database (DB) volume that is created on IBM FlashSystem Storage. When a threat is detected on the Microsoft SQL DB volume, Safeguarded Copy starts on an IBM FlashSystem Storage volume. The Safeguarded Copy creates an immutable copy of the data, and the same data volume can be recovered or restored by using IBM CSM. This publication does not describe the installation procedures for Splunk Enterprise, Splunk Forwarder for IBM CSM, th Microsoft SQL server, or the IBM FlashSystem Storage setup. It is assumed that the reader of the book has a basic understanding of system, Windows, and DB administration; storage administration; and has access to the required software and documentation that is used in this document.
Author: M. Mittal
Publisher: IOS Press
ISBN: 1614998140
Category : Computers
Languages : en
Pages : 618
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Book Description
The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.
Author: Eric D. Knapp
Publisher: Syngress
ISBN: 0124201849
Category : Computers
Languages : en
Pages : 460
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Book Description
As the sophistication of cyber-attacks increases, understanding how to defend critical infrastructure systems—energy production, water, gas, and other vital systems—becomes more important, and heavily mandated. Industrial Network Security, Second Edition arms you with the knowledge you need to understand the vulnerabilities of these distributed supervisory and control systems. The book examines the unique protocols and applications that are the foundation of industrial control systems, and provides clear guidelines for their protection. This how-to guide gives you thorough understanding of the unique challenges facing critical infrastructures, new guidelines and security measures for critical infrastructure protection, knowledge of new and evolving security tools, and pointers on SCADA protocols and security implementation. - All-new real-world examples of attacks against control systems, and more diagrams of systems - Expanded coverage of protocols such as 61850, Ethernet/IP, CIP, ISA-99, and the evolution to IEC62443 - Expanded coverage of Smart Grid security - New coverage of signature-based detection, exploit-based vs. vulnerability-based detection, and signature reverse engineering
Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1119027039
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is—and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. Shows you how to use big data to make sense of user activity on social networks and customer transactions Demonstrates how to capture, store, search, share, analyse and visualise analytics Helps you turn your data into actionable insights Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights.
Author: Bernard Marr
Publisher: Kogan Page Publishers
ISBN: 0749479868
Category : Business & Economics
Languages : en
Pages : 201
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Book Description
BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT).
Author: Lydia Parziale
Publisher: IBM Redbooks
ISBN: 0738457507
Category : Computers
Languages : en
Pages : 200
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Book Description
What is the difference between a virtual machine and a Docker container? A virtual machine (VM) is like a house. It is fully contained with its own plumbing and heating and cooling system. If you want another house, you build a new foundation, with new walls, new plumbing, and its own heating and cooling system. VMs are large. They start their own operating systems. Containers are like apartments in an apartment building. They share infrastructure. They can be many different sizes. You can have different sizes depending on the needs. Containers "live" in a Docker host. If you build a house, you need many resources. If you build an apartment building, each unit shares resources. Like an apartment, Docker is smaller and satisfies specific needs, is more agile, and more easily changed. This IBM® Redbooks® publication examines the installation and operation of Docker Enterprise Edition on the IBM Z® platform.
Author: Domenico D'Alterio
Publisher: IBM Redbooks
ISBN: 073845706X
Category : Computers
Languages : en
Pages : 44
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Book Description
IBM Common Data Provider for z Systems collects, filters, and formats IT operational data in near real-time and provides that data to target analytics solutions. IBM Common Data Provider for z Systems enables authorized IT operations teams using a single web-based interface to specify the IT operational data to be gathered and how it needs to be handled. This data is provided to both on- and off-platform analytic solutions, in a consistent, consumable format for analysis. This Redpaper discusses the value of IBM Common Data Provider for z Systems, provides a high-level reference architecture for IBM Common Data Provider for z Systems, and introduces key components of the architecture. It shows how IBM Common Data Provider for z Systems provides operational data to various analytic solutions. The publication provides high-level integration guidance, preferred practices, tips on planning for IBM Common Data Provider for z Systems, and example integration scenarios.
Author: Rob Botwright
Publisher: Rob Botwright
ISBN: 1839388021
Category : Architecture
Languages : en
Pages : 253
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Book Description
🔒 **CYBER INCIDENT RESPONSE BUNDLE** 🔍 Dive into the world of cybersecurity with our exclusive "Cyber Incident Response: Counterintelligence and Forensics for Security Investigators" bundle! 📘🔍 Whether you're starting your journey or enhancing your expertise, this comprehensive collection equips you with the skills and strategies needed to tackle cyber threats head-on: 📕 **Book 1: Cyber Incident Response Fundamentals** Begin your exploration with essential concepts and methodologies. Learn incident detection, initial response protocols, and the fundamentals of forensic analysis. 📗 **Book 2: Intermediate Cyber Forensics** Advance your skills with in-depth techniques and tools. Master digital evidence acquisition, forensic analysis, and attribution methods essential for effective investigations. 📘 **Book 3: Advanced Counterintelligence Strategies** Level up with expert tactics and strategies. Discover proactive threat hunting, advanced incident response techniques, and counterintelligence methods to thwart sophisticated cyber threats. 📙 **Book 4: Mastering Cyber Incident Response** Become an elite investigator with comprehensive techniques. Learn crisis management, incident command systems, and the integration of advanced technologies for resilient cybersecurity operations. 🔍 **Why Choose Our Bundle?** - **Progressive Learning:** From beginner to elite, each book builds upon the last to deepen your understanding and skills. - **Practical Insights:** Real-world case studies and hands-on exercises ensure you're ready to handle any cyber incident. - **Expert Guidance:** Written by cybersecurity professionals with years of industry experience. 🔒 **Secure Your Future in Cybersecurity** Equip yourself with the knowledge and tools to protect against cyber threats. Whether you're a security professional, IT manager, or aspiring investigator, this bundle is your gateway to mastering cyber incident response. 🛒 **Get Your Bundle Now!** Don't miss out on this opportunity to elevate your cybersecurity skills and defend against evolving threats. Secure your bundle today and embark on a journey towards becoming a trusted cybersecurity expert! Join thousands of cybersecurity professionals who have transformed their careers with our "Cyber Incident Response" bundle. Take charge of cybersecurity today! 🛡️🔍
Author: Kuan-Ching Li
Publisher: CRC Press
ISBN: 0429018037
Category : Business & Economics
Languages : en
Pages : 429
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Book Description
Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers
