Understanding Big Data Scalability

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Understanding Big Data Scalability

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Author : Cory Isaacson
language : en
Publisher: Prentice Hall
Release Date : 2014-07-11

Understanding Big Data Scalability written by Cory Isaacson and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-11 with Computers categories.

Get Started Scaling Your Database Infrastructure for High-Volume Big Data Applications “Understanding Big Data Scalability presents the fundamentals of scaling databases from a single node to large clusters. It provides a practical explanation of what ‘Big Data’ systems are, and fundamental issues to consider when optimizing for performance and scalability. Cory draws on many years of experience to explain issues involved in working with data sets that can no longer be handled with single, monolithic relational databases.... His approach is particularly relevant now that relational data models are making a comeback via SQL interfaces to popular NoSQL databases and Hadoop distributions.... This book should be especially useful to database practitioners new to scaling databases beyond traditional single node deployments.” —Brian O’Krafka, software architect Understanding Big Data Scalability presents a solid foundation for scaling Big Data infrastructure and helps you address each crucial factor associated with optimizing performance in scalable and dynamic Big Data clusters. Database expert Cory Isaacson offers practical, actionable insights for every technical professional who must scale a database tier for high-volume applications. Focusing on today’s most common Big Data applications, he introduces proven ways to manage unprecedented data growth from widely diverse sources and to deliver real-time processing at levels that were inconceivable until recently. Isaacson explains why databases slow down, reviews each major technique for scaling database applications, and identifies the key rules of database scalability that every architect should follow. You’ll find insights and techniques proven with all types of database engines and environments, including SQL, NoSQL, and Hadoop. Two start-to-finish case studies walk you through planning and implementation, offering specific lessons for formulating your own scalability strategy. Coverage includes Understanding the true causes of database performance degradation in today’s Big Data environments Scaling smoothly to petabyte-class databases and beyond Defining database clusters for maximum scalability and performance Integrating NoSQL or columnar databases that aren’t “drop-in” replacements for RDBMSes Scaling application components: solutions and options for each tier Recognizing when to scale your data tier—a decision with enormous consequences for your application environment Why data relationships may be even more important in non-relational databases Why virtually every database scalability implementation still relies on sharding, and how to choose the best approach How to set clear objectives for architecting high-performance Big Data implementations The Big Data Scalability Series is a comprehensive, four-part series, containing information on many facets of database performance and scalability. Understanding Big Data Scalability is the first book in the series. Learn more and join the conversation about Big Data scalability at bigdatascalability.com.

Understanding Big Data

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Author : Prof. (Dr.) R. K. Pandey
language : en
Publisher: Rudra Publications
Release Date :

Understanding Big Data written by Prof. (Dr.) R. K. Pandey and has been published by Rudra Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.

The book titled 'Understanding Big Data' covers complete syllabus of Big Data prescribed by Technical University of Uttar Pradesh and other Universities also. The Book contains better understanding of Big Data concept. This Book will also guide on the job reference for IT practitioners in mobile computing environments.

Understanding Big Data Scalability

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Author : Cory Isaacson
language : en
Publisher:
Release Date : 2014

Understanding Big Data Scalability written by Cory Isaacson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Big data categories.

Programming Big Data Applications Scalable Tools And Frameworks For Your Needs

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Author : Domenico Talia
language : en
Publisher: World Scientific
Release Date : 2024-05-03

Programming Big Data Applications Scalable Tools And Frameworks For Your Needs written by Domenico Talia and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Computers categories.

In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security cameras. These data, commonly referred to as big data, are challenging current storage, processing and analysis capabilities. New models, languages, systems and algorithms continue to be developed to effectively collect, store, analyze and learn from big data.Programming Big Data Applications introduces and discusses models, programming frameworks and algorithms to process and analyze large amounts of data. In particular, the book provides an in-depth description of the properties and mechanisms of the main programming paradigms for big data analysis, including MapReduce, workflow, BSP, message passing, and SQL-like. Through programming examples it also describes the most used frameworks for big data analysis like Hadoop, Spark, MPI, Hive and Storm. Each of the different systems is discussed and compared, highlighting their main features, their diffusion (both within their community of developers and among users), and their main advantages and disadvantages in implementing big data analysis applications.

Cloud Native Intelligence And Scalable Ai For Supply Chain Food Services And Financial Infrastructure

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Author : Avinash Pamisetty
language : en
Publisher: AQUA PUBLICATIONS
Release Date :

Cloud Native Intelligence And Scalable Ai For Supply Chain Food Services And Financial Infrastructure written by Avinash Pamisetty and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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Big Data Computing

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Author : Rajendra Akerkar
language : en
Publisher: CRC Press
Release Date : 2013-12-05

Big Data Computing written by Rajendra Akerkar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-05 with Business & Economics categories.

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix

Network Security With Netflow And Ipfix

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Author : Omar Santos
language : en
Publisher: Cisco Press
Release Date : 2015-09-08

Network Security With Netflow And Ipfix written by Omar Santos and has been published by Cisco Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-08 with Computers categories.

A comprehensive guide for deploying, configuring, and troubleshooting NetFlow and learning big data analytics technologies for cyber security Today’s world of network security is full of cyber security vulnerabilities, incidents, breaches, and many headaches. Visibility into the network is an indispensable tool for network and security professionals and Cisco NetFlow creates an environment where network administrators and security professionals have the tools to understand who, what, when, where, and how network traffic is flowing. Network Security with NetFlow and IPFIX is a key resource for introducing yourself to and understanding the power behind the Cisco NetFlow solution. Omar Santos, a Cisco Product Security Incident Response Team (PSIRT) technical leader and author of numerous books including the CCNA Security 210-260 Official Cert Guide, details the importance of NetFlow and demonstrates how it can be used by large enterprises and small-to-medium-sized businesses to meet critical network challenges. This book also examines NetFlow’s potential as a powerful network security tool. Network Security with NetFlow and IPFIX explores everything you need to know to fully understand and implement the Cisco Cyber Threat Defense Solution. It also provides detailed configuration and troubleshooting guidance, sample configurations with depth analysis of design scenarios in every chapter, and detailed case studies with real-life scenarios. You can follow Omar on Twitter: @santosomar NetFlow and IPFIX basics Cisco NetFlow versions and features Cisco Flexible NetFlow NetFlow Commercial and Open Source Software Packages Big Data Analytics tools and technologies such as Hadoop, Flume, Kafka, Storm, Hive, HBase, Elasticsearch, Logstash, Kibana (ELK) Additional Telemetry Sources for Big Data Analytics for Cyber Security Understanding big data scalability Big data analytics in the Internet of everything Cisco Cyber Threat Defense and NetFlow Troubleshooting NetFlow Real-world case studies

Scalable Big Data Architecture

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Author : Bahaaldine Azarmi
language : en
Publisher: Apress
Release Date : 2015-12-31

Scalable Big Data Architecture written by Bahaaldine Azarmi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-31 with Computers categories.

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution. When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it’s often necessary to delegate the load to Hadoop or Spark and use the No-SQLto serve processed data in real time. This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on. Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools tointegrate into that pattern.

Recent Findings In Intelligent Computing Techniques

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Author : Pankaj Kumar Sa
language : en
Publisher: Springer
Release Date : 2018-11-04

Recent Findings In Intelligent Computing Techniques written by Pankaj Kumar Sa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-04 with Technology & Engineering categories.

This three volume book contains the Proceedings of 5th International Conference on Advanced Computing, Networking and Informatics (ICACNI 2017). The book focuses on the recent advancement of the broad areas of advanced computing, networking and informatics. It also includes novel approaches devised by researchers from across the globe. This book brings together academic scientists, professors, research scholars and students to share and disseminate information on knowledge and scientific research works related to computing, networking, and informatics to discuss the practical challenges encountered and the solutions adopted. The book also promotes translation of basic research into applied investigation and convert applied investigation into practice.

Enterprise Intelligence Building Scalable Data Products For The Digital Supply Chain 2025

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Author : Author 1 : NAVEEN SAIKRISHNA PUPPALA, Author 2 : MASTER DR. S. B. KISHOR
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Enterprise Intelligence Building Scalable Data Products For The Digital Supply Chain 2025 written by Author 1 : NAVEEN SAIKRISHNA PUPPALA, Author 2 : MASTER DR. S. B. KISHOR and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

PREFACE In today’s hyper-connected global economy, supply chains have evolved from linear, function-centric processes into complex, data-driven ecosystems. As enterprises strive to remain agile, resilient, and customer-centric, the ability to harness and operationalize vast quantities of supply-chain data has become a strategic imperative. Enterprise Intelligence: Building Scalable Data Products for the Digital Supply Chain is designed to guide practitioners, architects, and decision-makers through the journey of transforming raw data into actionable intelligence that fuels competitive advantage. Drawing upon both industry best practices and cutting-edge research, this book is organized into eleven interrelated chapters, each addressing a critical dimension of end-to-end data-product development: · Foundations of Enterprise Intelligence in the Supply Chain establishes the conceptual framework, defining key principles and illustrating how data products differ from traditional reporting and analytics. · Architecting Scalable Data Infrastructure delves into the technology stack storage, compute, and networking required to support high-volume, low-latency workflows. · Data Governance and Quality in Supply Chain Systems underscores the importance of trust, consistency, and compliance, presenting methodologies to measure and enforce data integrity. · Real-Time Data Ingestion and Processing Pipelines explores modern stream-processing architectures that enable timely insights and reactive decision-making. · AI and ML for Predictive Supply Chain Intelligence demonstrates how machine learning models can anticipate demand fluctuations, optimize routes, and reduce inventory costs. · Digital Twins and Simulation for Operational Optimization shows how virtual replicas of physical systems empower “what-if” analyses and continuous process improvement. · Intelligent Inventory and Demand Planning Systems focuses on advanced algorithms for balancing stock levels, minimizing stockouts, and adapting to shifting market conditions. · Supplier and Risk Intelligence Platforms examines frameworks for evaluating supplier performance, forecasting disruptions, and automating risk mitigation. · Orchestrating Data Products for Supply Chain Collaboration addresses the cultural and technical mechanisms needed to share insights across organizational boundaries. · Cloud-Native Integration with ERP and Logistics Systems guides readers through seamless connectivity with enterprise resource planning and transportation-management solutions. · Visual Analytics and Decision Intelligence Dashboards demonstrates how intuitive, interactive interfaces translate complex data into clear, decision-ready insights. Whether you are building your first data-product prototype or scaling a global analytics platform, this book offers both strategic guidance and hands-on techniques. Throughout, you will find real-world examples, illustrative diagrams, and practical checklists designed to accelerate adoption and drive measurable outcomes. It is our hope that by the end of this journey, you will possess the knowledge and confidence to architect, deploy, and govern data products that unlock the full potential of your digital supply chain. Authors Naveen Saikrishna Puppala Master Dr. S. B. Kishor