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IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage

Author : Joseph Dain
Publisher : IBM Redbooks
ISBN 13 : 0738457868
Total Pages : 152 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage by : Joseph Dain

Download or read book IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage written by Joseph Dain and published by IBM Redbooks. This book was released on 2019-10-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication provides a comprehensive overview of the IBM Spectrum® Discover metadata management software platform. We give a detailed explanation of how the product creates, collects, and analyzes metadata. Several in-depth use cases are used that show examples of analytics, governance, and optimization. We also provide step-by-step information to install and set up the IBM Spectrum Discover trial environment. More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data such as: Pinpointing and activating relevant data for large-scale analytics Lacking the fine-grained visibility that is needed to map data to business priorities Removing redundant, obsolete, and trivial (ROT) data Identifying and classifying sensitive data IBM Spectrum Discover is a modern metadata management software that provides data insight for petabyte-scale file and Object Storage, storage on premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage. IBM Spectrum Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.

Making Data Smarter with IBM Spectrum Discover: Practical AI Solutions

Author : Ivaylo B. Bozhinov
Publisher : IBM Redbooks
ISBN 13 : 0738459135
Total Pages : 170 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Making Data Smarter with IBM Spectrum Discover: Practical AI Solutions by : Ivaylo B. Bozhinov

Download or read book Making Data Smarter with IBM Spectrum Discover: Practical AI Solutions written by Ivaylo B. Bozhinov and published by IBM Redbooks. This book was released on 2020-10-19 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data, such as the following examples: Pinpointing and activating relevant data for large-scale analytics Lacking the fine-grained visibility that is needed to map data to business priorities Removing redundant, obsolete, and trivial (ROT) data Identifying and classifying sensitive data IBM® Spectrum Discover is a modern metadata management software that provides data insight for petabyte-scale file and Object Storage, storage on-premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage. IBM Spectrum® Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research. This IBM Redbooks® publication presents several use cases that are focused on artificial intelligence (AI) solutions with IBM Spectrum Discover. This book helps storage administrators and technical specialists plan and implement AI solutions by using IBM Spectrum Discover and several other IBM Storage products.

Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover

Author : Joseph Dain
Publisher : IBM Redbooks
ISBN 13 : 073845902X
Total Pages : 108 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover by : Joseph Dain

Download or read book Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover written by Joseph Dain and published by IBM Redbooks. This book was released on 2020-08-11 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication explains how IBM Spectrum® Discover integrates with the IBM Watson® Knowledge Catalog (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to make the enriched catalog content in IBM Spectrum Discover along with the associated data available in WKC and IBM CP4D. From an end-to-end IBM solution point of view, IBM CP4D and WKC provide state-of-the-art data governance, collaboration, and artificial intelligence (AI) and analytics tools, and IBM Spectrum Discover complements these features by adding support for unstructured data on large-scale file and object storage systems on premises and in the cloud. Many organizations face challenges to manage unstructured data. Some challenges that companies face include: Pinpointing and activating relevant data for large-scale analytics, machine learning (ML) and deep learning (DL) workloads. Lacking the fine-grained visibility that is needed to map data to business priorities. Removing redundant, obsolete, and trivial (ROT) data and identifying data that can be moved to a lower-cost storage tier. Identifying and classifying sensitive data as it relates to various compliance mandates, such as the General Data Privacy Regulation (GDPR), Payment Card Industry Data Security Standards (PCI-DSS), and the Health Information Portability and Accountability Act (HIPAA). This paper describes how IBM Spectrum Discover provides seamless integration of data in IBM Storage with IBM Watson Knowledge Catalog (WKC). Features include: Event-based cataloging and tagging of unstructured data across the enterprise. Automatically inspecting and classifying over 1000 unstructured data types, including genomics and imaging specific file formats. Automatically registering assets with WKC based on IBM Spectrum Discover search and filter criteria, and by using assets in IBM CP4D. Enforcing data governance policies in WKC in IBM CP4D based on insights from IBM Spectrum Discover, and using assets in IBM CP4D. Several in-depth use cases are used that show examples of healthcare, life sciences, and financial services. IBM Spectrum Discover integration with WKC enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. The integration improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.

IBM Spectrum Discover

Author : Joe Dain
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis IBM Spectrum Discover by : Joe Dain

Download or read book IBM Spectrum Discover written by Joe Dain and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover

Author : Joseph Dain
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover by : Joseph Dain

Download or read book Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover written by Joseph Dain and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Accelerator for AI and Analytics

Author : Simon Lorenz
Publisher : IBM Redbooks
ISBN 13 : 0738459321
Total Pages : 88 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Data Accelerator for AI and Analytics by : Simon Lorenz

Download or read book Data Accelerator for AI and Analytics written by Simon Lorenz and published by IBM Redbooks. This book was released on 2021-01-20 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication focuses on data orchestration in enterprise data pipelines. It provides details about data orchestration and how to address typical challenges that customers face when dealing with large and ever-growing amounts of data for data analytics. While the amount of data increases steadily, artificial intelligence (AI) workloads must speed up to deliver insights and business value in a timely manner. This paper provides a solution that addresses these needs: Data Accelerator for AI and Analytics (DAAA). A proof of concept (PoC) is described in detail. This paper focuses on the functions that are provided by the Data Accelerator for AI and Analytics solution, which simplifies the daily work of data scientists and system administrators. This solution helps increase the efficiency of storage systems and data processing to obtain results faster while eliminating unnecessary data copies and associated data management.

Deployment and Usage Guide for Running AI Workloads on Red Hat OpenShift and NVIDIA DGX Systems with IBM Spectrum Scale

Author : Simon Lorenz
Publisher : IBM Redbooks
ISBN 13 : 0738459097
Total Pages : 80 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Deployment and Usage Guide for Running AI Workloads on Red Hat OpenShift and NVIDIA DGX Systems with IBM Spectrum Scale by : Simon Lorenz

Download or read book Deployment and Usage Guide for Running AI Workloads on Red Hat OpenShift and NVIDIA DGX Systems with IBM Spectrum Scale written by Simon Lorenz and published by IBM Redbooks. This book was released on 2020-11-30 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication describes the architecture, installation procedure, and results for running a typical training application that works on an automotive data set in an orchestrated and secured environment that provides horizontal scalability of GPU resources across physical node boundaries for deep neural network (DNN) workloads. This paper is mostly relevant for systems engineers, system administrators, or system architects that are responsible for data center infrastructure management and typical day-to-day operations such as system monitoring, operational control, asset management, and security audits. This paper also describes IBM Spectrum® LSF® as a workload manager and IBM Spectrum Discover as a metadata search engine to find the right data for an inference job and automate the data science workflow. With the help of this solution, the data location, which may be on different storage systems, and time of availability for the AI job can be fully abstracted, which provides valuable information for data scientists.

IBM Watson Content Analytics: Discovering Actionable Insight from Your Content

Author : Wei-Dong (Jackie) Zhu
Publisher : IBM Redbooks
ISBN 13 : 0738439428
Total Pages : 598 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Watson Content Analytics: Discovering Actionable Insight from Your Content by : Wei-Dong (Jackie) Zhu

Download or read book IBM Watson Content Analytics: Discovering Actionable Insight from Your Content written by Wei-Dong (Jackie) Zhu and published by IBM Redbooks. This book was released on 2014-07-07 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® WatsonTM Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings. To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights. This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.

IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences

Author : Dino Quintero
Publisher : IBM Redbooks
ISBN 13 : 073845690X
Total Pages : 88 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences by : Dino Quintero

Download or read book IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences written by Dino Quintero and published by IBM Redbooks. This book was released on 2019-09-08 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication provides an update to the original description of IBM Reference Architecture for Genomics. This paper expands the reference architecture to cover all of the major vertical areas of healthcare and life sciences industries, such as genomics, imaging, and clinical and translational research. The architecture was renamed IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences to reflect the fact that it incorporates key building blocks for high-performance computing (HPC) and software-defined storage, and that it supports an expanding infrastructure of leading industry partners, platforms, and frameworks. The reference architecture defines a highly flexible, scalable, and cost-effective platform for accessing, managing, storing, sharing, integrating, and analyzing big data, which can be deployed on-premises, in the cloud, or as a hybrid of the two. IT organizations can use the reference architecture as a high-level guide for overcoming data management challenges and processing bottlenecks that are frequently encountered in personalized healthcare initiatives, and in compute-intensive and data-intensive biomedical workloads. This reference architecture also provides a framework and context for modern healthcare and life sciences institutions to adopt cutting-edge technologies, such as cognitive life sciences solutions, machine learning and deep learning, Spark for analytics, and cloud computing. To illustrate these points, this paper includes case studies describing how clients and IBM Business Partners alike used the reference architecture in the deployments of demanding infrastructures for precision medicine. This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing life sciences solutions and support.

IBM Spectrum Family: IBM Spectrum Control Standard Edition

Author : Karen Orlando
Publisher : IBM Redbooks
ISBN 13 : 0738441481
Total Pages : 286 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Spectrum Family: IBM Spectrum Control Standard Edition by : Karen Orlando

Download or read book IBM Spectrum Family: IBM Spectrum Control Standard Edition written by Karen Orlando and published by IBM Redbooks. This book was released on 2016-03-15 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® Spectrum Control (Spectrum Control), a member of the IBM SpectrumTM Family of products, is the next-generation data management solution for software-defined environments (SDEs). With support for block, file, object workloads, and software-defined storage and predictive analytics, and automated and advanced monitoring to identify proactively storage performance problems, Spectrum Control enables administrators to provide efficient management for heterogeneous storage environments. IBM Spectrum ControlTM (formerly IBM Tivoli® Storage Productivity Center) delivers a complete set of functions to manage IBM Spectrum VirtualizeTM, IBM Spectrum AccelerateTM, and IBM Spectrum ScaleTM storage infrastructures, and traditional IBM and select third-party storage hardware systems. This IBM Redbooks® publication provides practical examples and use cases that can be deployed with IBM Spectrum Control Standard Edition, with an overview of IBM Spectrum Control Advanced Edition. This book complements the Spectrum Control IBM Knowledge Center, which is referenced for product details, and for installation and implementation details throughout this book. You can find this resource at the following website: IBM Spectrum Control Knowledge Center Also provided are descriptions and an architectural overview of the IBM Spectrum Family, highlighting Spectrum Control, as integrated into software-defined storage environments. This publication is intended for storage administrators, clients who are responsible for maintaining IT and business infrastructures, and anyone who wants to learn more about employing Spectrum Control and Spectrum Control Standard Edition.

IBM Spectrum Archive Enterprise Edition V1.3.2.2: Installation and Configuration Guide

Author : Hiroyuki Miyoshi
Publisher : IBM Redbooks
ISBN 13 : 0738460427
Total Pages : 360 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Spectrum Archive Enterprise Edition V1.3.2.2: Installation and Configuration Guide by : Hiroyuki Miyoshi

Download or read book IBM Spectrum Archive Enterprise Edition V1.3.2.2: Installation and Configuration Guide written by Hiroyuki Miyoshi and published by IBM Redbooks. This book was released on 2022-03-10 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication helps you with the planning, installation, and configuration of the new IBM Spectrum® Archive Enterprise Edition (EE) Version 1.3.2.2 for the IBM TS4500, IBM TS3500, IBM TS4300, and IBM TS3310 tape libraries. IBM Spectrum Archive Enterprise Edition enables the use of the LTFS for the policy management of tape as a storage tier in an IBM Spectrum Scale based environment. It also helps encourage the use of tape as a critical tier in the storage environment. This edition of this publication is the tenth edition of IBM Spectrum Archive Installation and Configuration Guide. IBM Spectrum Archive EE can run any application that is designed for disk files on a physical tape media. IBM Spectrum Archive EE supports the IBM Linear Tape-Open (LTO) Ultrium 9, 8, 7, 6, and 5 tape drives. and the IBM TS1160, TS1155, TS1150, and TS1140 tape drives. IBM Spectrum Archive EE can play a major role in reducing the cost of storage for data that does not need the access performance of primary disk. The use of IBM Spectrum Archive EE to replace disks with physical tape in tier 2 and tier 3 storage can improve data access over other storage solutions because it improves efficiency and streamlines management for files on tape. IBM Spectrum Archive EE simplifies the use of tape by making it transparent to the user and manageable by the administrator under a single infrastructure. This publication is intended for anyone who wants to understand more about IBM Spectrum Archive EE planning and implementation. This book is suitable for IBM customers, IBM Business Partners, IBM specialist sales representatives, and technical specialists.

IBM Cloud Object Storage System Product Guide

Author : Vasfi Gucer
Publisher : IBM Redbooks
ISBN 13 : 0738460133
Total Pages : 214 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Cloud Object Storage System Product Guide by : Vasfi Gucer

Download or read book IBM Cloud Object Storage System Product Guide written by Vasfi Gucer and published by IBM Redbooks. This book was released on 2023-06-14 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object storage is the primary storage solution that is used in the cloud and on-premises solutions as a central storage platform for unstructured data. IBM Cloud Object Storage is a software-defined storage (SDS) platform that breaks down barriers for storing massive amounts of data by optimizing the placement of data on commodity x86 servers across the enterprise. This IBM Redbooks® publication describes the major features, use case scenarios, deployment options, configuration details, initial customization, performance, and scalability considerations of IBM Cloud Object Storage on-premises offering. For more information about the IBM Cloud Object Storage architecture and technology that is behind the product, see IBM Cloud Object Storage Concepts and Architecture , REDP-5537. The target audience for this publication is IBM Cloud Object Storage IT specialists and storage administrators.

Cloud Data Sharing with IBM Spectrum Scale

Author : Nikhil Khandelwal
Publisher : IBM Redbooks
ISBN 13 : 0738456004
Total Pages : 36 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Cloud Data Sharing with IBM Spectrum Scale by : Nikhil Khandelwal

Download or read book Cloud Data Sharing with IBM Spectrum Scale written by Nikhil Khandelwal and published by IBM Redbooks. This book was released on 2017-02-14 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM publication provides information to help you with the sizing, configuration, and monitoring of hybrid cloud solutions using the Cloud data sharing feature of IBM Spectrum ScaleTM. IBM Spectrum Scale, formerly IBM General Parallel File System (IBM GPFSTM), is a scalable data and file management solution that provides a global namespace for large data sets along with several enterprise features. Cloud data sharing allows for the sharing and use of data between various cloud object storage types and IBM Spectrum Scale. Cloud data sharing can help with the movement of data in both directions, between file systems and cloud object storage, so that data is where it needs to be, when it needs to be there. This paper is intended for IT architects, IT administrators, storage administrators, and those who want to learn more about sizing, configuration, and monitoring of hybrid cloud solutions using IBM Spectrum Scale and Cloud data sharing.

IBM Power Systems Enterprise AI Solutions

Author : Scott Vetter
Publisher : IBM Redbooks
ISBN 13 : 0738458058
Total Pages : 64 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Power Systems Enterprise AI Solutions by : Scott Vetter

Download or read book IBM Power Systems Enterprise AI Solutions written by Scott Vetter and published by IBM Redbooks. This book was released on 2019-09-25 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication helps the line of business (LOB), data science, and information technology (IT) teams develop an information architecture (IA) for their enterprise artificial intelligence (AI) environment. It describes the challenges that are faced by the three roles when creating and deploying enterprise AI solutions, and how they can collaborate for best results. This publication also highlights the capabilities of the IBM Cognitive Systems and AI solutions: IBM Watson® Machine Learning Community Edition IBM Watson Machine Learning Accelerator (WMLA) IBM PowerAI Vision IBM Watson Machine Learning IBM Watson Studio Local IBM Video Analytics H2O Driverless AI IBM Spectrum® Scale IBM Spectrum Discover This publication examines the challenges through five different use case examples: Artificial vision Natural language processing (NLP) Planning for the future Machine learning (ML) AI teaming and collaboration This publication targets readers from LOBs, data science teams, and IT departments, and anyone that is interested in understanding how to build an IA to support enterprise AI development and deployment.

IBM Spectrum Scale Immutability Introduction, Configuration Guidance, and Use Cases

Author : Nils Haustein
Publisher : IBM Redbooks
ISBN 13 : 0738459771
Total Pages : 40 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Spectrum Scale Immutability Introduction, Configuration Guidance, and Use Cases by : Nils Haustein

Download or read book IBM Spectrum Scale Immutability Introduction, Configuration Guidance, and Use Cases written by Nils Haustein and published by IBM Redbooks. This book was released on 2021-06-09 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM RedpaperTM publication introduces the IBM Spectrum Scale immutability function. It shows how to set it up and presents different ways for managing immutable and append-only files. This publication also provides guidance for implementing IT security aspects in an IBM Spectrum Scale cluster by addressing regulatory requirements. It also describes two typical use cases for managing immutable files. One use case involves applications that manage file immutability; the other use case presents a solution to automatically set files to immutable within a IBM Spectrum Scale immutable fileset.

IBM Spectrum Scale Security

Author : Felipe Knop
Publisher : IBM Redbooks
ISBN 13 : 0738457167
Total Pages : 116 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Spectrum Scale Security by : Felipe Knop

Download or read book IBM Spectrum Scale Security written by Felipe Knop and published by IBM Redbooks. This book was released on 2018-09-18 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Storage systems must provide reliable and convenient data access to all authorized users while simultaneously preventing threats coming from outside or even inside the enterprise. Security threats come in many forms, from unauthorized access to data, data tampering, denial of service, and obtaining privileged access to systems. According to the Storage Network Industry Association (SNIA), data security in the context of storage systems is responsible for safeguarding the data against theft, prevention of unauthorized disclosure of data, prevention of data tampering, and accidental corruption. This process ensures accountability, authenticity, business continuity, and regulatory compliance. Security for storage systems can be classified as follows: Data storage (data at rest, which includes data durability and immutability) Access to data Movement of data (data in flight) Management of data IBM® Spectrum Scale is a software-defined storage system for high performance, large-scale workloads on-premises or in the cloud. IBM SpectrumTM Scale addresses all four aspects of security by securing data at rest (protecting data at rest with snapshots, and backups and immutability features) and securing data in flight (providing secure management of data, and secure access to data by using authentication and authorization across multiple supported access protocols). These protocols include POSIX, NFS, SMB, Hadoop, and Object (REST). For automated data management, it is equipped with powerful information lifecycle management (ILM) tools that can help administer unstructured data by providing the correct security for the correct data. This IBM RedpaperTM publication details the various aspects of security in IBM Spectrum ScaleTM, including the following items: Security of data in transit Security of data at rest Authentication Authorization Hadoop security Immutability Secure administration Audit logging Security for transparent cloud tiering (TCT) Security for OpenStack drivers Unless stated otherwise, the functions that are mentioned in this paper are available in IBM Spectrum Scale V4.2.1 or later releases.

Making the World Work Better

Author : Kevin Maney
Publisher : Pearson Education
ISBN 13 : 0132755130
Total Pages : 495 pages
Book Rating : 4.1/5 (327 download)

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Book Synopsis Making the World Work Better by : Kevin Maney

Download or read book Making the World Work Better written by Kevin Maney and published by Pearson Education. This book was released on 2011-06-10 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thomas J Watson Sr’s motto for IBM was THINK, and for more than a century, that one little word worked overtime. In Making the World Work Better: The Ideas That Shaped a Century and a Company, journalists Kevin Maney, Steve Hamm, and Jeffrey M. O’Brien mark the Centennial of IBM’s founding by examining how IBM has distinctly contributed to the evolution of technology and the modern corporation over the past 100 years. The authors offer a fresh analysis through interviews of many key figures, chronicling the Nobel Prize-winning work of the company’s research laboratories and uncovering rich archival material, including hundreds of vintage photographs and drawings. The book recounts the company’s missteps, as well as its successes. It captures moments of high drama – from the bet-the-business gamble on the legendary System/360 in the 1960s to the turnaround from the company’s near-death experience in the early 1990s. The authors have shaped a narrative of discoveries, struggles, individual insights and lasting impact on technology, business and society. Taken together, their essays reveal a distinctive mindset and organizational culture, animated by a deeply held commitment to the hard work of progress. IBM engineers and scientists invented many of the building blocks of modern information technology, including the memory chip, the disk drive, the scanning tunneling microscope (essential to nanotechnology) and even new fields of mathematics. IBM brought the punch-card tabulator, the mainframe and the personal computer into the mainstream of business and modern life. IBM was the first large American company to pay all employees salaries rather than hourly wages, an early champion of hiring women and minorities and a pioneer of new approaches to doing business--with its model of the globally integrated enterprise. And it has had a lasting impact on the course of society from enabling the US Social Security System, to the space program, to airline reservations, modern banking and retail, to many of the ways our world today works. The lessons for all businesses – indeed, all institutions – are powerful: To survive and succeed over a long period, you have to anticipate change and to be willing and able to continually transform. But while change happens, progress is deliberate. IBM – deliberately led by a pioneering culture and grounded in a set of core ideas – came into being, grew, thrived, nearly died, transformed itself... and is now charting a new path forward for its second century toward a perhaps surprising future on a planetary scale.