Duggirala Siddhartha - High-performance big-data analytics: computing systems and approaches
Here you can read online Duggirala Siddhartha - High-performance big-data analytics: computing systems and approaches full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. City: Cham;New York, year: 2015, publisher: Springer International Publishing, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:
Romance novel
Science fiction
Adventure
Detective
Science
History
Home and family
Prose
Art
Politics
Computer
Non-fiction
Religion
Business
Children
Humor
Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.
- Book:High-performance big-data analytics: computing systems and approaches
- Author:
- Publisher:Springer International Publishing
- Genre:
- Year:2015
- City:Cham;New York
- Rating:4 / 5
- Favourites:Add to favourites
- Your mark:
High-performance big-data analytics: computing systems and approaches: summary, description and annotation
We offer to read an annotation, description, summary or preface (depends on what the author of the book "High-performance big-data analytics: computing systems and approaches" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.
This important and timely text/reference presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Comprehensively covering a diverse range of computer systems and proven techniques for high-performance big-data analytics, the book also presents case studies, practical guidelines, and best practices for enabling decision-making toward implementing the appropriate computer systems and approaches. Topics and features: Includes case studies and learning activities throughout the book, and self-study exercises at the end of every chapter Presents detailed case studies on social media analytics for intelligent businesses, and on big data analytics in the healthcare sector Describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data Examines real-time analytics solutions, such as machine data analytics and operational analytics Introduces in-database processing and in-memory analytics techniques for data mining Discusses the use of mainframes for handling real-time big data, and the latest types of data management systems for big and fast data analytics Provides information on the use of cluster, grid and cloud computing systems for big data analytics and data-intensive processing Reviews the peer-to-peer techniques and tools, and the common information visualization techniques, used in big data analytics Software engineers, cloud professionals and big data scientists will find this book to be an informative and inspiring read, highlighting the indispensable role data analytics will play in shaping a smart future.;Emerging Trends and Transformations in the IT Landscape -- High Performance Technologies for Big- and Fast-Data Analytics -- Big- and Fast-Data Analytics for High-Performance Computing -- Network Infrastructure for High-Performance Big-Data Analytics -- Storage Infrastructure for High-Performance Big-Data Analytics -- Real-Time Analytics using High-Performance Computing -- High-Performance Computing Paradigms -- In-Database Processing and In-Memory Analytics -- High-Performance Integrated Systems, Databases and Warehouses for Big- and Fast-Data Analytics -- Cluster and Grid Computing Paradigms -- High-Performance Peer-to-Peer Systems -- Visualization Dimensions for High-Performance Big-Data Analytics -- Social Media Analytics for Organization Empowerment -- Big-Data Analytics for Healthcare.
Duggirala Siddhartha: author's other books
Who wrote High-performance big-data analytics: computing systems and approaches? Find out the surname, the name of the author of the book and a list of all author's works by series.
Duggirala Siddhartha
Megan Torrance
Dhabaleswar K. Panda
Prasad
Y. Lakshmi Prasad
High-performance big-data analytics: computing systems and approaches — read online for free the complete book (whole text) full work
Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "High-performance big-data analytics: computing systems and approaches" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.
Light
Font size:
↓
↑
Reset
Interval:
↓
↑
Bookmark:
Make
Springer International Publishing Switzerland 2015
Pethuru Raj , Anupama Raman , Dhivya Nagaraj and Siddhartha Duggirala High-Performance Big-Data Analytics Computer Communications and Networks 10.1007/978-3-319-20744-5_11. The Brewing Trends and Transformations in the IT Landscape
Pethuru Raj 1, Anupama Raman 1, Dhivya Nagaraj 1 and Siddhartha Duggirala 2
(1)
IBM India, Bangalore, India
(2)
Indian Institute of Technology, Indore, MP, India
Keywords
IT consumerization Containerization IT commoditization Extreme connectivity Digitized entities Smart objects Sentient materials Self-aware Surroundings aware Situation aware The Internet of things The Internet of everything The industrial Internet of things The Internet of important things Enterprise mobility Social media Stream computing Service enablement1.1 Introduction
As widely reported, there are several delectable transitions and some disruptions in the IT landscape. Definitely, the consequences are vast and varied: the incorporation of nimbler and next-generation features and functionalities into existing and emerging IT solutions, the grand opening for scores of fresh possibilities and opportunities for not only businesses but also individuals, the fabulous eruption of altogether new IT products and solutions for the humanity, etc. There are a number of disruptive and transformative technologies emanating and evolving as being vouched by leading market analyst and research firms. For an instance, Gartner regularly reports the top ten technology trends every year. The technologies have the inherent verve to bring forth numerous subtle and succinct transformations for business organizations as well as common people. In this chapter, to set up an appropriate context for the book, the most prevalent and pioneering trends in the IT landscape are to be detailed for inquisitive minds.
Someone wrote like this. The first wave of IT belongs to the aura of hardware engineering. A variety of electronic modules (purpose specific and generic) had been meticulously designed and aggregated in order to fulfill the various computing, networking, and storage requirements. The miniaturization technologies have been playing a very indispensable role in shaping up the hardware industry in bringing forth scores of micro- and nano-level components. We are on the track towards the era of ubiquitously deployed, disappearing, and disposable computers. The second wave of IT heralded a shift from hardware to software. The software engineering started to improvise decisively from there, and today software is pervasive and persuasive. Software brings in the much-needed adaptivity, modifiability, extensibility, and sustainability. Every tangible thing is being empowered to be smart through the embedding and imbedding of software. The third and current wave of IT began a couple years ago and is based on the utilization of data (big and fast) to derive benefits from the advantages gained in hardware and software. The capture and investigations of data lead to actionable and timely insights that can be sagaciously used for realizing smarter applications and appliances.
Thus, data analytics is the most endearing and enduring subject of study and research in order to come out with viable and venerable methods for the envisaged smarter planet. Especially considering the faster growth of disparate and distributed data sources, there is a special liking for data virtualization, processing, mining, analysis, and visualization technologies that invariably fulfill the goals of knowledge discovery and dissemination. Data-driven insights enable taking right decisions for people as well as systems in time with all clarity and confidence. You can find the most promising trends sweeping the IT landscape in order to bring in the enhanced care, choice, convenience, and comfort for people at large.
1.2 The Emerging IT Trends
IT Consumerization
The much discoursed and deliberated Gartner report details the diversity of mobile devices (smartphones, tablets, wearables, etc.). Increasingly, the IT is coming closer to humans. People at any point of time, any place, any device, any network, and any media could access and use any remotely held IT resources, business applications, and data for their personal as well as professional purposes. The massive production of slim and sleek input/output devices empowers end users to directly connect and benefit immensely out of all the telling improvisations of the IT discipline. The IT consumer trend has been evolving for some time now and peaking these days. That is, IT is steadily becoming an inescapable part of consumers directly and indirectly. And the need for robust and resilient mobile device management software solutions with the powerful emergence of bring your own device (BYOD) is being felt and is being insisted across. Another aspect is the emergence of next-generation mobile applications and services across a variety of business verticals. There is a myriad of mobile applications, maps, and service development/delivery platforms, programming and markup languages, architectures and frameworks, tools, containers, and operating systems in the fast-moving mobile space. Precisely speaking, IT is moving from enterprise centricity to be consumer oriented.
IT Commoditization
Commoditization is another cool trend sweeping the IT industry. With the huge acceptance and adoption of cloud computing and big data analytics, the value of commodity IT is decisively on the rise. Typically, the embedded intelligence is being consciously abstracted out of hardware boxes and appliances in order to make hardware modules voluminously manufactured and easily and quickly used. The infrastructure affordability is another important need in getting realized with this meticulous segregation, and the perennial problem of vendor lock-in is steadily eased out. Any product can be replaced and substituted by another similar device from other manufacturers. With the consolidation, centralization, and commercialization of IT infrastructures heat up, the demands of commoditized hardware go up furiously. All kinds of IT infrastructures (server machines, storage appliances, network solutions such as routers, switches, load balancers, firewall gateways, etc.) are being commoditized with the renewed focus on IT industrialization. The commoditization through virtualization and containerization is pervasive and persuasive. Therefore, the next-generation IT environment is specifically software defined to bring in programmable and policy-based hardware systems in plenty.
The Ensuing Era of Appliances
The topic of hardware engineering is seeing a lot of hitherto unheard improvisations. Undoubtedly, appliances are the recent hit in the IT market. All the leading vendors are investing their treasure, time, and talent in unearthing next-generation smartly integrated systems (compute, storage, network, virtualization, and management modules) in the form of instant-on appliances. IT appliances are fully customized and configured in the factory itself so that they could just be turned on to get their verve at customer location in minutes and hours rather than days. In order to incorporate as much automation as possible, there are strategic appliance-centric initiatives on producing pre-integrated and pretested and tuned converged IT stacks. For example, FlexPod and VCE are leading in the race in the converged IT solution category. Similarly, there are expertly integrated systems such as IBM PureFlex System, PureApplication System, and PureData System. Further on, Oracle engineered systems, such as Oracle Exadata Database Machine and Exalogic Elastic Cloud, are gaining in the competitive market.
Light
Font size:
↓
↑
Reset
Interval:
↓
↑
Bookmark:
Make
Similar books «High-performance big-data analytics: computing systems and approaches»
Look at similar books to High-performance big-data analytics: computing systems and approaches. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.
Megan Torrance
Dhabaleswar K. Panda
Prasad
Y. Lakshmi Prasad
Reviews about «High-performance big-data analytics: computing systems and approaches»
Discussion, reviews of the book High-performance big-data analytics: computing systems and approaches and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.