Artificial intelligence


Book Description

Learn storage system usage in various solutions to meet enterprise companyÕs business objectives Ê DESCRIPTION With the advancement of computer, mobile and popularity of internet and social media, digital data is growing exponentially. Current total global data is almost double than what was there two years back. Computer storage technologies have become most important and critical that supports this enormous growth of digital data and stores them more efficiently. Therefore demand for computer storage knowledge increased drastically in recent years. Ê This book explains the basic concept of computer storage and its fundamental features and functionalities. It also includes topics on how the application servers access storage systems through the network. Different storage vendors use different name for physical and logical components of a storage system, but this book primarily focuses on the concept of storage systems using simple and commonly understood terminologies. Almost all modern storage systems have virtualization implemented to enhance performance and fault tolerance. This book explains these implementation aspects in simple terms. Ê KEY FEATURES Different type of storage systems and their solutions are discussed. Learn the components of a storage solution, storage disk array, host servers, storage networking components and their communications. Storage performance, fault tolerance and space efficiency and their related features are explained in detailed. Storage management software suite that enables administrator to manage all storage hardware and software components and their features and functionalities that are discussed. Ê WHAT WILL YOU LEARN Storage System, Storage Infrastructure Storage Disk Array and Communication Protocols Storage Networking, Management and Performance Fault Tolerance and Data Protection Space Efficiency Ê WHO THIS BOOK IS FOR IT professionals, undergraduate and postgraduate engineering students, researchers and storage administrators. Ê Table of Contents 1. Ê Ê Storage System and Solutions 2. Ê Ê Storage Infrastructure 3. Ê Ê Storage Disk Array 4. Ê Ê Storage Communication Protocols 5. Ê Ê Storage Networking 6. Ê Ê Storage Performance 7. Ê Ê Fault Tolerance and Data Protection 8. Ê Ê Space Efficiency 9. Ê Ê Storage Management




Storage Networking Fundamentals


Book Description

Unlike networking technology, where there is already a great deal of literature available, many professionals still need to understand the basic building blocks of storage networking. This book provides vendor-neutral, independent analysis and terminology.




Introduction to Storage Area Networks


Book Description

The superabundance of data that is created by today's businesses is making storage a strategic investment priority for companies of all sizes. As storage takes precedence, the following major initiatives emerge: Flatten and converge your network: IBM® takes an open, standards-based approach to implement the latest advances in the flat, converged data center network designs of today. IBM Storage solutions enable clients to deploy a high-speed, low-latency Unified Fabric Architecture. Optimize and automate virtualization: Advanced virtualization awareness reduces the cost and complexity of deploying physical and virtual data center infrastructure. Simplify management: IBM data center networks are easy to deploy, maintain, scale, and virtualize, delivering the foundation of consolidated operations for dynamic infrastructure management. Storage is no longer an afterthought. Too much is at stake. Companies are searching for more ways to efficiently manage expanding volumes of data, and to make that data accessible throughout the enterprise. This demand is propelling the move of storage into the network. Also, the increasing complexity of managing large numbers of storage devices and vast amounts of data is driving greater business value into software and services. With current estimates of the amount of data to be managed and made available increasing at 60% each year, this outlook is where a storage area network (SAN) enters the arena. SANs are the leading storage infrastructure for the global economy of today. SANs offer simplified storage management, scalability, flexibility, and availability; and improved data access, movement, and backup. Welcome to the cognitive era. The smarter data center with the improved economics of IT can be achieved by connecting servers and storage with a high-speed and intelligent network fabric. A smarter data center that hosts IBM Storage solutions can provide an environment that is smarter, faster, greener, open, and easy to manage. This IBM® Redbooks® publication provides an introduction to SAN and Ethernet networking, and how these networks help to achieve a smarter data center. This book is intended for people who are not very familiar with IT, or who are just starting out in the IT world.




Storage Area Network Fundamentals


Book Description

Storage Area Network Fundamentals looks at the various areas and technologies associated with SANs, the available SAN technology, its limitations, expenditures and ways to minimize them, and the forthcoming technology, so that organizations can deploy real operational storage in data centers without further delay. Designed as an introduction to SANs, Storage Area Network Fundamentals develops an understanding of SAN basics and how to plan, implement, and manage a storage area network. The book covers the different topologies, protocols, and products required to implement and manage efficient SANs, as well as questions to test the knowledge imparted to the reader.




Big Data Fundamentals


Book Description

“This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning




Data Warehousing Fundamentals


Book Description

Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants.




Data Center Virtualization Fundamentals


Book Description

Data Center Virtualization Fundamentals For many IT organizations, today''s greatest challenge is to drive more value, efficiency, and utilization from data centers. Virtualization is the best way to meet this challenge. Data Center Virtualization Fundamentals brings together the comprehensive knowledge Cisco professionals need to apply virtualization throughout their data center environments. Leading data center expert Gustavo A. A. Santana thoroughly explores all components of an end-to-end data center virtualization solution, including networking, storage, servers, operating systems, application optimization, and security. Rather than focusing on a single product or technology, he explores product capabilities as interoperable design tools that can be combined and integrated with other solutions, including VMware vSphere. With the author''s guidance, you''ll learn how to define and implement highly-efficient architectures for new, expanded, or retrofit data center projects. By doing so, you can deliver agile application provisioning without purchasing unnecessary infrastructure, and establish a strong foundation for new cloud computing and IT-as-a-service initiatives. Throughout, Santana illuminates key theoretical concepts through realistic use cases, real-world designs, illustrative configuration examples, and verification outputs. Appendixes provide valuable reference information, including relevant Cisco data center products and CLI principles for IOS and NX-OS. With this approach, Data Center Virtualization Fundamentals will be an indispensable resource for anyone preparing for the CCNA Data Center, CCNP Data Center, or CCIE Data Center certification exams. Gustavo A. A. Santana, CCIE® No. 8806, is a Cisco Technical Solutions Architect working in enterprise and service provider data center projects that require deep integration across technology areas such as networking, application optimization, storage, and servers. He has more than 15 years of data center experience, and has led and coordinated a team of specialized Cisco engineers in Brazil. He holds two CCIE certifications (Routing & Switching and Storage Networking), and is a VMware Certified Professional (VCP) and SNIA Certified Storage Networking Expert (SCSN-E). A frequent speaker at Cisco and data center industry events, he blogs on data center virtualization at gustavoaasantana.net. Learn how virtualization can transform and improve traditional data center network topologies Understand the key characteristics and value of each data center virtualization technology Walk through key decisions, and transform choices into architecture Smoothly migrate existing data centers toward greater virtualization Burst silos that have traditionally made data centers inefficient Master foundational technologies such as VLANs, VRF, and virtual contexts Use virtual PortChannel and FabricPath to overcome the limits of STP Optimize cabling and network management with fabric extender (FEX) virtualized chassis Extend Layer 2 domains to distant data center sites using MPLS and Overlay Transport Virtualization (OTV) Use VSANs to overcome Fibre Channel fabric challenges Improve SAN data protection, environment isolation, and scalability Consolidate I/O through Data Center Bridging and FCoE Use virtualization to radically simplify server environments Create server profiles that streamline "bare metal" server provisioning "Transcend the rack" through virtualized networking based on Nexus 1000V and VM-FEX Leverage opportunities to deploy virtual network services more efficiently Evolve data center virtualization toward full-fledged private clouds -Reviews - "The variety of material that Gustavo covers in this work would appeal to anyone responsible for Data Centers today. His grasp of virtualization technologies and ability to relate it in both technical and non-technical terms makes for compelling reading. This is not your ordinary tech manual. Through use of relatable visual cues, Gustavo provides information that is easily recalled on the subject of virtualization, reaching across Subject Matter Expertise domains. Whether you consider yourself well-versed or a novice on the topic, working in large or small environments, this work will provide a clear understanding of the diverse subject of virtualization." -- Bill Dufresne, CCIE 4375, Distinguished Systems Engineer, Cisco (Americas) "..this book is an essential reference and will be valuable asset for potential candidates pursuing their Cisco Data Center certifications. I am confident that in reading this book, individuals will inevitably gain extensive knowledge and hands-on experience during their certification preparations. If you''re looking for a truly comprehensive guide to virtualization, this is the one!" -- Yusuf Bhaiji, Senior Manager, Expert Certifications (CCIE, CCDE, CCAr), Learning@Cisco "When one first looks at those classic Cisco Data Center blueprints, it is very common to become distracted with the overwhelming number of pieces and linkages. By creating a solid theoretical foundation and providing rich sets of companion examples to illustrate each concept, Gustavo''s book brings hope back to IT Professionals from different areas of expertise. Apparently complex topics are demystified and the insertion of products, mechanisms, protocols and technologies in the overall Data Center Architecture is clearly explained, thus enabling you to achieve robust designs and successful deployments. A must read... Definitely!" -- Alexandre M. S. P. Moraes, Consulting Systems Engineer -- Author of "Cisco Firewalls"




Fundamentals of Data Warehouses


Book Description

This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.




Database Internals


Book Description

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency




Computer Storage Fundamentals


Book Description

Learn storage system usage in various solutions to meet enterprise companyÕs business objectives DESCRIPTION With advancement of computer, mobile and popularity of internet and social media, digital data is growing exponentially. Current total global data is almost double than what was there two years back. Computer storage technologies have become most important and critical that supports this enormous growth of digital data and stores them more efficiently. Therefore demand for computer storage knowledge increased drastically in recent years. Ê This book explains the basic concept of computer storage and its fundamental features and functionalities. It also includes topics on how the application servers access storage systems through the network. Different storage vendors use different name for physical and logical components of a storage system, but this book primarily focuses on concept of storage systems using simple and commonly understood terminologies. Almost all modern storage systems have virtualization implemented to enhance performance and fault tolerance. This book explains these implementation aspects in simple terms. KEY FEATURES Different type of storage systems and their solutions are discussed. Learn the components of a storage solution, storage disk array, host servers, storage networking components and their communications. Storage performance, fault tolerance and space efficiency and their related features are explained in detailed. Storage management software suite that enables administrator to manage all storage hardware and software components and their features and functionalities that are discussed. WHAT WILL YOU LEARN Storage System, Storage Infrastructure Storage Disk Array and Communication Protocols Storage Networking, Management and Performance Fault Tolerance and Data Protection Space Efficiency WHO THIS BOOK IS FOR IT professionals, undergraduate and postgraduate engineering students, researchers and storage administrators. Table of Contents 1. Ê Ê Storage System and Solutions 2. Ê Ê Storage Infrastructure 3. Ê Ê Storage Disk Array 4. Ê Ê Storage Communication Protocols 5. Ê Ê Storage Networking 6. Ê Ê Storage Performance 7. Ê Ê Fault Tolerance and Data Protection 8. Ê Ê Space Efficiency 9. Ê Ê Storage Management