Understanding Big Data Characteristics And Technologies

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Understanding Big Data Analytics For Enterprise Class Hadoop And Streaming Data

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Author : Paul Zikopoulos
language : en
Publisher: McGraw Hill Professional
Release Date : 2011-10-22

Understanding Big Data Analytics For Enterprise Class Hadoop And Streaming Data written by Paul Zikopoulos and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-22 with Computers categories.

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Understanding Big Data Characteristics And Technologies

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Author : RENATA. SLOANE
language : en
Publisher: Independently Published
Release Date : 2025-05-20

Understanding Big Data Characteristics And Technologies written by RENATA. SLOANE and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.

Understanding Big Data Characteristics and Technologies is an in-depth guide that explores the concept of Big Data and the technologies used to manage, process, and analyze large-scale datasets. As organizations generate vast amounts of data, traditional data management systems struggle to keep up. This book dives into the key characteristics of Big Data and introduces the most important technologies like Hadoop, Spark, and NoSQL databases that enable efficient handling of big datasets. Inside, you'll explore: The Concept of Big Data: Understand the 3 Vs (Volume, Velocity, and Variety) and how they define Big Data. Learn about the challenges organizations face with managing large-scale datasets and the opportunities Big Data presents for innovation and decision-making. Big Data Characteristics: Dive into the four primary characteristics of Big Data-Volume, Variety, Velocity, and Veracity-and learn how they influence data storage, processing, and analysis. Hadoop Ecosystem: Explore Apache Hadoop and its ecosystem of tools, including HDFS (Hadoop Distributed File System), MapReduce, YARN, and other components that enable scalable, distributed data processing. Apache Spark: Discover how Spark offers an in-memory processing alternative to MapReduce, enabling faster data processing. Learn about Spark's features, including data parallelism, fault tolerance, and its support for batch and stream processing. NoSQL Databases: Understand the different types of NoSQL databases-Document, Key-Value, Column-family, and Graph-and how they differ from traditional relational databases in terms of scalability, flexibility, and schema design. Data Processing Frameworks: Explore frameworks and tools for handling Big Data, including Apache Flink, Apache Kafka, and Apache Storm, which help with stream processing and data ingestion. Cloud Technologies for Big Data: Learn about cloud-based solutions for Big Data management, including platforms like AWS, Google Cloud, and Microsoft Azure, and how they integrate with technologies like Hadoop and Spark. Big Data Analytics: Understand the techniques used in Big Data analytics, including machine learning, predictive analytics, and real-time processing, and how these techniques can be applied to make data-driven decisions. Big Data Security and Privacy: Explore security concerns and strategies for safeguarding Big Data, including encryption, access control, and data governance. Why This Book Is Essential: Comprehensive Big Data Overview: Provides a thorough introduction to Big Data's characteristics and the technologies designed to address its challenges. In-Depth Technology Analysis: Offers detailed insights into popular technologies like Hadoop, Spark, and NoSQL, explaining their use cases and advantages. Real-World Applications: Includes case studies and examples showing how Big Data technologies are applied across various industries, from healthcare and finance to marketing and e-commerce. Hands-On Tools and Techniques: Teaches you practical techniques for implementing Big Data technologies and frameworks in real-world projects, making it an invaluable resource for both beginners and experienced professionals. Whether you're a data scientist, engineer, or business leader, Understanding Big Data Characteristics and Technologies will provide you with the knowledge to effectively harness the power of Big Data technologies and transform your approach to data analysis.

Big Data Analytics And Cloud Computing

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Author : Syed Thouheed Ahmed
language : en
Publisher: MileStone Research Publications
Release Date : 2021-09-05

Big Data Analytics And Cloud Computing written by Syed Thouheed Ahmed and has been published by MileStone Research Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-05 with Computers categories.

Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level. The text book covers various essential concepts of big-data analytics and processing tools such as HADOOP and YARN. The Textbook covers an analogical understanding on bridging cloud computing with big-data technologies with essential cloud infrastructure protocol and ecosystem concepts. PART I: Hadoop Distributed File System Basics, Running Example Programs and Benchmarks, Hadoop MapReduce Framework Essential Hadoop Tools, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures PART II: Introduction to Cloud Computing: Origins and Influences, Basic Concepts and Terminology, Goals and Benefits, Risks and Challenges. Fundamental Concepts and Models: Roles and Boundaries, Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models. Cloud Computing Technologies:Broadband networks and internet architecture, data center technology, virtualization technology, web technology, multi-tenant technology, service Technology Cloud Infrastructure Mechanisms:Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-made environment

Big Data Software Solutions By Ibm Oracle Sap And Microsoft A Market Overview

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Author : Wolfgang Steinhart
language : en
Publisher: GRIN Verlag
Release Date : 2017-09-05

Big Data Software Solutions By Ibm Oracle Sap And Microsoft A Market Overview written by Wolfgang Steinhart and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-05 with Computers categories.

Seminar paper from the year 2017 in the subject Computer Science - Software, grade: 1,0, California Lutheran University (Business Administration), course: MBA for Executives, language: English, abstract: In this research paper, the author would like to take a look at the current Big Data vendors, and present the status quo of the leading Big Data solutions. The Big Data market has grown significantly in the last years. The offered solutions are very sophisticated and cover a broad range of user requirements, and have become more user friendly. In the recent years, several well-known IT companies released new products that specialize in Big Data analysis. The desire to analyze more and more data to gain a better understanding of e.g. customer needs, manufacturing efficiencies or e.g. to create predictive analysis based on past consumer behavior drove the need to enhance the functionality of existing business intelligence solutions towards a more open Big Data architecture, that allows the analysis of massive amounts of structured and unstructured data.

Understanding Computers

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Author : Grace Murray Hopper
language : en
Publisher:
Release Date : 1987

Understanding Computers written by Grace Murray Hopper and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.

Engineering Data Management And Emerging Technologies

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Author : Kincho H. Law
language : en
Publisher:
Release Date : 1995

Engineering Data Management And Emerging Technologies written by Kincho H. Law and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.

Big Data

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Author : Balamurugan Balusamy
language : en
Publisher:
Release Date : 2021

Big Data written by Balamurugan Balusamy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Big data categories.

"This book offers comprehensive coverage of Big Data tools, terminologies and technologies for researchers, business professionals and graduates. This book begins with an overview of what Big Data is and emphasizes all the key concepts of big data end to end. Big Data concepts, technologies, terminologies and storing, processing and analysis techniques and much more -- are all logically organized and reinforced by diagrams and case studies. This book refines readers' understanding of Big Data with in-depth analysis of key concepts. The case studies provided in this book give insight on key concepts. The initial chapters of the book shed light on various characteristics of Big Data that distinguish it from traditional Database Management systems. Big Data Analytics are covered in detail in a separate chapter. Hadoop, the heart of Big Data is handled in the Big Data processing chapter and a deep understanding of its concepts is provided"--

Multilingual Computing Technology

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Author :
language : en
Publisher:
Release Date : 2005

Multilingual Computing Technology written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computational linguistics categories.

Proceedings Offshore Technology Conference

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Author :
language : en
Publisher:
Release Date : 1997

Proceedings Offshore Technology Conference written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Marine resources categories.

Optical Storage Technology

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Author : Duanyi Xu
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 1998

Optical Storage Technology written by Duanyi Xu and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.

Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.