High Performance In Memory Computing With Apache Ignite

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High Performance in-memory computing with Apache Ignite

Author : Shamim bhuiyan
Publisher : Lulu.com
ISBN 13 : 1365732355
Total Pages : 360 pages
Book Rating : 4.3/5 (657 download)

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Book Synopsis High Performance in-memory computing with Apache Ignite by : Shamim bhuiyan

Download or read book High Performance in-memory computing with Apache Ignite written by Shamim bhuiyan and published by Lulu.com. This book was released on 2017-04-08 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The book will be particularly useful for those, who have the following use cases: 1) You have a high volume of ACID transactions in your system. 2) You have database bottleneck in your application and want to solve the problem. 3) You want to develop and deploy Microservices in a distributed fashion. 4) You have an existing Hadoop ecosystem (OLAP) and want to improve the performance of map/reduce jobs without making any changes in your existing map/reduce jobs. 5) You want to share Spark RDD directly in-memory (without storing the state into the disk) 7) You are planning to process continuous never-ending streams and complex events of data. 8) You want to use distributed computations in parallel fashion to gain high performance.

The Apache Ignite Book

Author : Michael Zheludkov
Publisher : Lulu.com
ISBN 13 : 0359439373
Total Pages : 642 pages
Book Rating : 4.3/5 (594 download)

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Book Synopsis The Apache Ignite Book by : Michael Zheludkov

Download or read book The Apache Ignite Book written by Michael Zheludkov and published by Lulu.com. This book was released on 2019-02-25 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apache Ignite is one of the most widely used open source memory-centric distributed, caching, and processing platform. This allows the users to use the platform as an in-memory computing framework or a full functional persistence data stores with SQL and ACID transaction support. On the other hand, Apache Ignite can be used for accelerating existing Relational and NoSQL databases, processing events & streaming data or developing Microservices in fault-tolerant fashion. This book addressed anyone interested in learning in-memory computing and distributed database. This book intends to provide someone with little to no experience of Apache Ignite with an opportunity to learn how to use this platform effectively from scratch taking a practical hands-on approach to learning. Please see the table of contents for more details.

High-Performance Big Data Computing

Author : Dhabaleswar K. Panda
Publisher : MIT Press
ISBN 13 : 0262369427
Total Pages : 275 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis High-Performance Big Data Computing by : Dhabaleswar K. Panda

Download or read book High-Performance Big Data Computing written by Dhabaleswar K. Panda and published by MIT Press. This book was released on 2022-08-02 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.

Emerging Computing Techniques in Engineering

Author : Matthew N. O. Sadiku
Publisher : AuthorHouse
ISBN 13 : 1665569166
Total Pages : 409 pages
Book Rating : 4.6/5 (655 download)

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Book Synopsis Emerging Computing Techniques in Engineering by : Matthew N. O. Sadiku

Download or read book Emerging Computing Techniques in Engineering written by Matthew N. O. Sadiku and published by AuthorHouse. This book was released on 2022-11-17 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is divided into three volumes to cover all computing topics. This is the first volume and it has 23 chapters. It focuses on general computing techniques such as cloud computing, grid computing, pervasive computing, optical computing, web computing, parallel computing, distributed computing, high-performance computing, GPU computing, exascale & extreme computing, in-memory computing, embedded computing, quantum computing, and green computing

Mathematics and its Applications in New Computer Systems

Author : Andrei Tchernykh
Publisher : Springer Nature
ISBN 13 : 3030970205
Total Pages : 571 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Mathematics and its Applications in New Computer Systems by : Andrei Tchernykh

Download or read book Mathematics and its Applications in New Computer Systems written by Andrei Tchernykh and published by Springer Nature. This book was released on 2022-04-25 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the best papers accepted for presentation during the International Conference on Mathematics and its Applications in New Computer Systems (MANCS-2021), Russia. The book includes research materials on modern mathematical problems, solutions in the field of cryptography, data analysis and modular computing, as well as scientific computing. The scope of numerical methods in scientific computing presents original research, including mathematical models and software implementations, related to the following topics: numerical methods in scientific computing; solving optimization problems; methods for approximating functions, etc. The studies in mathematical solutions to cryptography issues are devoted to secret sharing schemes, public key systems, private key systems, n-degree comparisons, modular arithmetic of simple, addition of points of an elliptic curve, Hasse theorem, homomorphic encryption and learning with error, and modifications of the RSA system. Furthermore, issues in data analysis and modular computing include contributions in the field of mathematical statistics, machine learning methods, deep learning, and neural networks. Finally, the book gives insights into the fundamental problems in mathematics education. The book intends for readership specializing in the field of cryptography, information security, parallel computing, computer technology, and mathematical education.

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI

Author : Jeffrey Nichols
Publisher : Springer Nature
ISBN 13 : 3030633934
Total Pages : 555 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI by : Jeffrey Nichols

Download or read book Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI written by Jeffrey Nichols and published by Springer Nature. This book was released on 2020-12-22 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

Apache Ignite Quick Start Guide

Author : Sujoy Acharya
Publisher : Packt Publishing Ltd
ISBN 13 : 1789344069
Total Pages : 253 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Apache Ignite Quick Start Guide by : Sujoy Acharya

Download or read book Apache Ignite Quick Start Guide written by Sujoy Acharya and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite Key FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook Description Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity. The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data. You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite. By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture. What you will learnUse Apache Ignite’s data grid and implement web session clusteringGain high performance and linear scalability with in-memory distributed data processingCreate a microservice on top of Apache Ignite that can scale and performPerform ACID-compliant CRUD operations on an Ignite cacheRetrieve data from Apache Ignite’s data grid using SQL, Scan and Lucene Text queryExplore complex event processing concepts and event streamingIntegrate your Ignite app with the Spring frameworkWho this book is for The book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary.

JVM Performance Engineering

Author : Monica Beckwith
Publisher : Addison-Wesley Professional
ISBN 13 : 013465997X
Total Pages : 783 pages
Book Rating : 4.1/5 (346 download)

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Book Synopsis JVM Performance Engineering by : Monica Beckwith

Download or read book JVM Performance Engineering written by Monica Beckwith and published by Addison-Wesley Professional. This book was released on 2024-04-22 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: Peek Under the Hood of the Complex but Fascinating Java Virtual Machine Dive into the intricacies of JVM performance with JVM Performance Engineering, the essential guide for seasoned Java developers eager to demystify the JVM. Focusing on the OpenJDK HotSpot VM, this book provides insights into cutting-edge Java performance techniques and trends. Distinguished Java Champion Monica Beckwith blends theoretical insights and practical tools--encompassing case studies, applications, use-case diagrams, and process flow charts--to demonstrate diagnostic techniques, performance methodologies, and optimizations. This manual is a portal to excelling in Java performance engineering, offering Java developers, system architects, and software engineers the tools to foster career advancement and success with Java applications. Examine the evolving Java type system, from lambda expressions to the advent of records and sealed classes, and explore how Project Valhalla aims to further optimize performance Leverage the Unified JVM Logging Interface for enhanced diagnostics, monitoring, and performance testing, featuring the novel asynchronous logging mechanism Grasp the intricate relationship between JVM and hardware, mastering end-to-end Java performance optimization techniques Gain deep insights into JVM's garbage collection and memory management, examining the pivotal Garbage First and Z GCs--and how they are shaping the Java performance landscape Explore efficient deployment strategies and techniques to accelerate JVM readiness, leveraging class data sharing, ahead-of-time compilation, and innovations like GraalVM and upcoming Project Leyden Embark on an exploration of the synergy between the JVM and exotic hardware like GPUs and FPGAs and revel in the potential of Project Panama and TornadoVM in high-computational scenarios such as machine learning and data analytics Look ahead to the future of Java concurrency with Virtual Threads, and investigate runtime optimizations of string handling and concurrency, propelling Java forward Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside for details.

Programming Persistent Memory

Author : Steve Scargall
Publisher : Apress
ISBN 13 : 1484249321
Total Pages : 387 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Programming Persistent Memory by : Steve Scargall

Download or read book Programming Persistent Memory written by Steve Scargall and published by Apress. This book was released on 2020-01-09 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.

Towards Industry 5.0

Author : Numan M. Durakbasa
Publisher : Springer Nature
ISBN 13 : 3031244575
Total Pages : 903 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Towards Industry 5.0 by : Numan M. Durakbasa

Download or read book Towards Industry 5.0 written by Numan M. Durakbasa and published by Springer Nature. This book was released on 2023-03-01 with total page 903 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected papers from International Symposium for Production Research 2022, held on October 6–9, 2022, Turkey. The book reports recent advances in production engineering and operations. It explores topics including: production research; production management; operations management; industry 4.0; industrial engineering; mechanical engineering; engineering management; and operational research. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering. It provides both the results of recent research and practical solutions to real-world problems.

Big Data Analytics in Cybersecurity

Author : Onur Savas
Publisher : CRC Press
ISBN 13 : 1498772161
Total Pages : 336 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data Analytics in Cybersecurity by : Onur Savas

Download or read book Big Data Analytics in Cybersecurity written by Onur Savas and published by CRC Press. This book was released on 2017-09-18 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

Hadoop Blueprints

Author : Anurag Shrivastava
Publisher : Packt Publishing Ltd
ISBN 13 : 1783980311
Total Pages : 312 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Hadoop Blueprints by : Anurag Shrivastava

Download or read book Hadoop Blueprints written by Anurag Shrivastava and published by Packt Publishing Ltd. This book was released on 2016-09-30 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Hadoop to solve business problems by learning from a rich set of real-life case studies About This Book Solve real-world business problems using Hadoop and other Big Data technologies Build efficient data lakes in Hadoop, and develop systems for various business cases like improving marketing campaigns, fraud detection, and more Power packed with six case studies to get you going with Hadoop for Business Intelligence Who This Book Is For If you are interested in building efficient business solutions using Hadoop, this is the book for you This book assumes that you have basic knowledge of Hadoop, Java, and any scripting language. What You Will Learn Learn about the evolution of Hadoop as the big data platform Understand the basics of Hadoop architecture Build a 360 degree view of your customer using Sqoop and Hive Build and run classification models on Hadoop using BigML Use Spark and Hadoop to build a fraud detection system Develop a churn detection system using Java and MapReduce Build an IoT-based data collection and visualization system Get to grips with building a Hadoop-based Data Lake for large enterprises Learn about the coexistence of NoSQL and In-Memory databases in the Hadoop ecosystem In Detail If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space. Style and approach This is an example-driven book where each chapter covers a single business problem and describes its solution by explaining the structure of a dataset and tools required to process it. Every project is demonstrated with a step-by-step approach, and explained in a very easy-to-understand manner.

Data Warehousing

Author : Rob Botwright
Publisher : Rob Botwright
ISBN 13 : 1839386851
Total Pages : 266 pages
Book Rating : 4.8/5 (393 download)

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Book Synopsis Data Warehousing by : Rob Botwright

Download or read book Data Warehousing written by Rob Botwright and published by Rob Botwright. This book was released on 101-01-01 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the "Data Warehousing: Optimizing Data Storage and Retrieval for Business Success" bundle! Unlock the full potential of your data with this comprehensive collection of four essential books: 1. Data Warehousing Fundamentals: A Beginner's Guide · Dive into the foundational principles of data warehousing and learn how to build a solid framework for storing and managing your organization's data. · Understand the importance of data modeling and gain insights into the extraction, transformation, and loading (ETL) processes essential for efficient data management. 2. Mastering Data Modeling for Data Warehousing · Take your data modeling skills to the next level with advanced techniques for conceptual, logical, and dimensional modeling. · Learn how to design scalable and efficient data warehouses that meet the evolving needs of your organization. 3. Advanced ETL Techniques for Data Warehousing Optimization · Optimize your ETL processes and streamline data extraction, transformation, and loading for maximum efficiency. · Explore advanced techniques such as incremental loading and change data capture (CDC) to ensure the smooth operation of your data warehouse. 4. Big Data Analytics: Harnessing the Power of Data Warehousing for Experts · Unlock the transformative potential of big data analytics and gain actionable insights to drive informed decision-making. · Discover how to leverage your data warehouse for real-time data processing, predictive modeling, and more. With this bundle, you'll gain the knowledge and skills needed to optimize your data storage and retrieval processes, empowering you to harness the power of data for business success. Whether you're a beginner looking to build a solid foundation or an expert seeking advanced strategies, this bundle has something for everyone. Don't miss out on this opportunity to revolutionize your approach to data warehousing and take your business to new heights!

Edge Computing 101: Novice To Pro

Author : Rob Botwright
Publisher : Rob Botwright
ISBN 13 : 1839386738
Total Pages : 176 pages
Book Rating : 4.8/5 (393 download)

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Book Synopsis Edge Computing 101: Novice To Pro by : Rob Botwright

Download or read book Edge Computing 101: Novice To Pro written by Rob Botwright and published by Rob Botwright. This book was released on 101-01-01 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing "Edge Computing 101: Novice to Pro" - your ultimate guide to mastering edge computing from beginner to expert level. This comprehensive book bundle includes four essential volumes packed with expert techniques and practical applications to propel your understanding and proficiency in edge computing. Book 1, "Edge Computing Fundamentals: A Beginner's Guide to Distributed Systems," provides a solid foundation for understanding the core principles of distributed systems. Whether you're new to the field or seeking to reinforce your knowledge, this book equips you with the fundamental concepts necessary to embark on your journey into the world of edge computing. In Book 2, "Edge Computing Architectures: Design Principles and Best Practices," you'll delve deeper into the intricacies of designing effective edge computing architectures. From deployment models to optimization techniques, this volume offers invaluable insights and best practices to help you build robust and scalable edge systems. For those looking to advance their skills, Book 3, "Advanced Edge Computing: Scalability, Security, and Optimization Strategies," explores advanced techniques and strategies for overcoming scalability challenges, enhancing security measures, and optimizing performance in edge environments. With real-world examples and case studies, you'll gain practical expertise to tackle complex issues and achieve optimal outcomes. Finally, Book 4, "Edge Computing in Industry 4.0: Practical Applications and Future Trends," focuses on the practical applications of edge computing across various industries, with a special emphasis on Industry 4.0. Discover how edge computing is transforming manufacturing, healthcare, smart cities, and more, and gain insights into future trends shaping the industry. Whether you're a novice looking to build a strong foundation or a seasoned professional aiming to stay ahead of the curve, "Edge Computing 101: Novice to Pro" has you covered. With its comprehensive coverage, expert guidance, and practical insights, this book bundle is your essential companion for mastering the dynamic world of edge computing. Get your copy today and take your edge computing skills to the next level!

Objects, Data & AI

Author : Reeshabh Choudhary
Publisher : Reeshabh Choudhary
ISBN 13 : 9360390674
Total Pages : 385 pages
Book Rating : 4.3/5 (63 download)

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Book Synopsis Objects, Data & AI by : Reeshabh Choudhary

Download or read book Objects, Data & AI written by Reeshabh Choudhary and published by Reeshabh Choudhary. This book was released on 2023-11-10 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about uncovering a journey of how Software programming evolved and AI based technologies came into foray. This book tries to connect the dots for a new programmer, starting on his/her journey into the software development world. With so many technologies evolving around every single day, with new breaches in innovation in the field of AI/ML or Data Science, which gets the job done in a whisker, as programmers we tend to think, where do we stand? The journey or even the thought of making sense of everything around us can be quite overwhelming. From the days of C/C++ programming to Java/C#/JavaScript and Python/MATLAB/R, programming has exponentially evolved. And so, does the computational ability of computers, which also helped in faster execution of these programs, but also to extraction of Information from the data generated via the applications developed by these programs. In this digital age, everything seems to be connected and yet we sweat making sense of all these connections. In the interconnected digital age, understanding the connections between various technologies can be challenging. The book aims to bridge some of these gaps by providing readers with a foundational understanding of how programming, data, and machine learning are interconnected. By grasping these fundamentals, software developers can connect the dots according to their specific requirements.

Mastering Big Data

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 205 pages
Book Rating : 4.8/5 (591 download)

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Book Synopsis Mastering Big Data by : Cybellium Ltd

Download or read book Mastering Big Data written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.

A Deep Dive into NoSQL Databases: The Use Cases and Applications

Author :
Publisher : Academic Press
ISBN 13 : 0128137878
Total Pages : 402 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis A Deep Dive into NoSQL Databases: The Use Cases and Applications by :

Download or read book A Deep Dive into NoSQL Databases: The Use Cases and Applications written by and published by Academic Press. This book was released on 2018-04-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Deep Dive into NoSQL Databases: The Use Cases and Applications, Volume 109, the latest release in the Advances in Computers series first published in 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. In addition, it provides contributors with a medium in which they can explore their subjects in greater depth and breadth. This update includes sections on NoSQL and NewSQL databases for big data analytics and distributed computing, NewSQL databases and scalable in-memory analytics, NoSQL web crawler application, NoSQL Security, a Comparative Study of different In-Memory (No/New)SQL Databases, NoSQL Hands On-4 NoSQLs, the Hadoop Ecosystem, and more. - Provides a very comprehensive, yet compact, book on the popular domain of NoSQL databases for IT professionals, practitioners and professors - Articulates and accentuates big data analytics and how it gets simplified and streamlined by NoSQL database systems - Sets a stimulating foundation with all the relevant details for NoSQL database researchers, developers and administrators