Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation
By Florin Pop
()
Currently unavailable
Currently unavailable
About this ebook
This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation.
The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge.
The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are neededfor real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.
Related to Big Data Platforms and Applications
Related ebooks
Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases Rating: 0 out of 5 stars0 ratingsIndustrial Sensors and Controls in Communication Networks: From Wired Technologies to Cloud Computing and the Internet of Things Rating: 0 out of 5 stars0 ratingsDeep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture Rating: 0 out of 5 stars0 ratingsFundamentals of Data Warehouses Rating: 4 out of 5 stars4/5Computer Science and Ambient Intelligence Rating: 0 out of 5 stars0 ratingsIoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers Rating: 0 out of 5 stars0 ratingsComputation and Storage in the Cloud: Understanding the Trade-Offs Rating: 5 out of 5 stars5/5Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis Rating: 0 out of 5 stars0 ratingsPowerFactory Applications for Power System Analysis Rating: 0 out of 5 stars0 ratingsSmart Grids – Fundamentals and Technologies in Electricity Networks Rating: 0 out of 5 stars0 ratingsFault-Tolerant Systems Rating: 0 out of 5 stars0 ratingsHandbook of Cloud Computing: Basic to Advance research on the concepts and design of Cloud Computing Rating: 0 out of 5 stars0 ratingsMobile Cloud Computing: Foundations and Service Models Rating: 1 out of 5 stars1/5Deploying Wireless Sensor Networks: Theory and Practice Rating: 5 out of 5 stars5/5Temporal QOS Management in Scientific Cloud Workflow Systems Rating: 0 out of 5 stars0 ratingsOptimized Cloud Resource Management and Scheduling: Theories and Practices Rating: 0 out of 5 stars0 ratingseMaintenance: Essential Electronic Tools for Efficiency Rating: 0 out of 5 stars0 ratingsMachine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies Rating: 0 out of 5 stars0 ratingsHeterogeneous Computing with OpenCL Rating: 1 out of 5 stars1/5Building Wireless Sensor Networks: Application to Routing and Data Diffusion Rating: 0 out of 5 stars0 ratingsGuide to Vulnerability Analysis for Computer Networks and Systems: An Artificial Intelligence Approach Rating: 0 out of 5 stars0 ratingsData Analysis in the Cloud: Models, Techniques and Applications Rating: 0 out of 5 stars0 ratingsApplication Design: Key Principles For Data-Intensive App Systems Rating: 0 out of 5 stars0 ratingsRandomly Deployed Wireless Sensor Networks Rating: 0 out of 5 stars0 ratingsBio-Inspired Computation in Telecommunications Rating: 0 out of 5 stars0 ratingsAdvanced Deep Learning for Engineers and Scientists: A Practical Approach Rating: 0 out of 5 stars0 ratingsMachine Learning for Future Fiber-Optic Communication Systems Rating: 0 out of 5 stars0 ratings5G Networks: Planning, Design and Optimization Rating: 0 out of 5 stars0 ratingsReliability Assurance of Big Data in the Cloud: Cost-Effective Replication-Based Storage Rating: 5 out of 5 stars5/5Blockchain: Empowering Secure Data Sharing Rating: 0 out of 5 stars0 ratings
Databases For You
Grokking Algorithms: An illustrated guide for programmers and other curious people Rating: 4 out of 5 stars4/5Excel 2021 Rating: 4 out of 5 stars4/5SQL Clearly Explained Rating: 5 out of 5 stars5/5SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL Rating: 4 out of 5 stars4/5Visualizing Graph Data Rating: 0 out of 5 stars0 ratingsData Science Strategy For Dummies Rating: 0 out of 5 stars0 ratingsPython Projects for Everyone Rating: 0 out of 5 stars0 ratingsData Management for Researchers: Organize, maintain and share your data for research success Rating: 0 out of 5 stars0 ratingsPractical Data Analysis Rating: 4 out of 5 stars4/5Access 2019 For Dummies Rating: 0 out of 5 stars0 ratingsLearn SQL in 24 Hours Rating: 5 out of 5 stars5/5Building a Scalable Data Warehouse with Data Vault 2.0 Rating: 4 out of 5 stars4/5Business Intelligence Strategy and Big Data Analytics: A General Management Perspective Rating: 5 out of 5 stars5/5Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight Rating: 5 out of 5 stars5/5SQL Server: Tips and Tricks - 1 Rating: 5 out of 5 stars5/5Serverless Architectures on AWS, Second Edition Rating: 5 out of 5 stars5/5Jump Start MySQL: Master the Database That Powers the Web Rating: 0 out of 5 stars0 ratingsGetting Started with SQL Server 2014 Administration Rating: 0 out of 5 stars0 ratingsCodeless Data Structures and Algorithms: Learn DSA Without Writing a Single Line of Code Rating: 0 out of 5 stars0 ratingsA Concise Guide to Object Orientated Programming Rating: 0 out of 5 stars0 ratingsData Governance: How to Design, Deploy and Sustain an Effective Data Governance Program Rating: 4 out of 5 stars4/5100+ SQL Queries T-SQL for Microsoft SQL Server Rating: 4 out of 5 stars4/5Raspberry Pi Server Essentials Rating: 0 out of 5 stars0 ratingsBlockchain Basics: A Non-Technical Introduction in 25 Steps Rating: 5 out of 5 stars5/5Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, Visualizing Rating: 0 out of 5 stars0 ratingsCompTIA DataSys+ Study Guide: Exam DS0-001 Rating: 0 out of 5 stars0 ratingsAccess 2010 All-in-One For Dummies Rating: 4 out of 5 stars4/5Learn SQL Server Administration in a Month of Lunches Rating: 3 out of 5 stars3/5Learning PostgreSQL Rating: 1 out of 5 stars1/5
Reviews for Big Data Platforms and Applications
0 ratings0 reviews