Data Analysis In The Cloud
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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
Data Analysis In The Cloud
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Author : Domenico Talia
language : en
Publisher: Elsevier
Release Date : 2015-09-15
Data Analysis In The Cloud written by Domenico Talia and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-15 with Computers categories.
Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis. - Introduces data analysis techniques and cloud computing concepts - Describes cloud-based models and systems for Big Data analytics - Provides examples of the state-of-the-art in cloud data analysis - Explains how to develop large-scale data mining applications on clouds - Outlines the main research trends in the area of scalable Big Data analysis
Data Analytics In The Aws Cloud
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Author : Joe Minichino
language : en
Publisher: John Wiley & Sons
Release Date : 2023-04-06
Data Analytics In The Aws Cloud written by Joe Minichino and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Computers categories.
A comprehensive and accessible roadmap to performing data analytics in the AWS cloud In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino delivers an expert blueprint to storing, processing, analyzing data on the Amazon Web Services cloud platform. In the book, you’ll explore every relevant aspect of data analytics—from data engineering to analysis, business intelligence, DevOps, and MLOps—as you discover how to integrate machine learning predictions with analytics engines and visualization tools. You’ll also find: Real-world use cases of AWS architectures that demystify the applications of data analytics Accessible introductions to data acquisition, importation, storage, visualization, and reporting Expert insights into serverless data engineering and how to use it to reduce overhead and costs, improve stability, and simplify maintenance A can't-miss for data architects, analysts, engineers and technical professionals, Data Analytics in the AWS Cloud will also earn a place on the bookshelves of business leaders seeking a better understanding of data analytics on the AWS cloud platform.
Big Data Analytics In The Cloud
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Author : Rafeal Mechlore
language : en
Publisher:
Release Date : 2023-09-27
Big Data Analytics In The Cloud written by Rafeal Mechlore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-27 with categories.
"Big Data Analytics in the Cloud" is an illuminating exploration of the synergy between two transformative technologies-Big Data and Cloud Computing. In this comprehensive guide, readers embark on a journey through the data-driven landscape where massive datasets meet the scalability, flexibility, and power of cloud infrastructure. This book begins by unraveling the core concepts of Big Data, shedding light on its three defining characteristics: volume, velocity, and variety. Readers gain a deep understanding of the challenges organizations face when dealing with vast amounts of data and how traditional solutions often fall short in managing, processing, and deriving insights from it. Enter Cloud Computing, the dynamic and scalable solution to these challenges. The heart of "Big Data Analytics in the Cloud" lies in its exploration of how cloud technology reshapes the Big Data landscape. It delves into the intricacies of cloud-based data storage, processing, and analytics services, showcasing how they empower businesses to harness the full potential of their data. Real-world case studies and examples demonstrate how organizations leverage cloud-based Big Data analytics to gain a competitive edge, make data-driven decisions, and uncover valuable insights. The book provides a roadmap for designing and implementing Big Data analytics solutions in the cloud, covering key topics such as data ingestion, storage, transformation, analysis, and visualization. It discusses the advantages of cloud-native tools and platforms, including their cost-efficiency, scalability, and ease of use. Security and compliance are paramount in the world of data, and this guide devotes attention to how cloud providers address these concerns. It outlines best practices for securing data in the cloud, ensuring data privacy, and adhering to regulatory requirements. As technology evolves, so does this book. "Big Data Analytics in the Cloud" explores emerging trends and technologies in the field, such as serverless computing, AI and machine learning integration, and the intersection of Big Data with the Internet of Things (IoT). Whether you're a data scientist, a business executive seeking data-driven insights, or an IT professional responsible for implementing Big Data solutions, this book equips you with the knowledge and strategies needed to leverage the power of Big Data analytics in the cloud. It is your indispensable resource for navigating the intersection of two groundbreaking technologies and unlocking new possibilities in the data-driven era
Advanced Data Analytics With Aws Explore Data Analysis Concepts In The Cloud To Gain Meaningful Insights And Build Robust Data Engineering Workflows Across Diverse Data Sources
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Author : Joseph Conley
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-04-17
Advanced Data Analytics With Aws Explore Data Analysis Concepts In The Cloud To Gain Meaningful Insights And Build Robust Data Engineering Workflows Across Diverse Data Sources written by Joseph Conley and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-17 with Computers categories.
Master the Fundamentals of Data Analytics at Scale Key Features ● Comprehensive guide to constructing data engineering workflows spanning diverse data sources ● Expert techniques for transforming and visualizing data to extract actionable insights ● Advanced methodologies for analyzing data and employing machine learning to uncover intricate patterns Book Description Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. The final section of the book will utilize the power of data virtualization and interaction, revolutionizing the way you engage with and derive value from your data. Gain valuable insights into emerging trends and technologies shaping the future of data analytics, and conclude your journey with actionable next steps, empowering you to continue your data analytics odyssey with confidence. What you will learn ● Construct streamlined data engineering workflows capable of ingesting data from diverse sources and formats. ● Employ data transformation tools to efficiently cleanse and reshape data, priming it for analysis. ● Perform ad-hoc queries for preliminary data exploration, uncovering initial insights. ● Utilize prepared datasets to craft compelling, interactive data visualizations that communicate actionable insights. ● Develop advanced machine learning and Generative AI workflows to delve into intricate aspects of complex datasets, uncovering deeper insights. Table of Contents 1. Introduction to Data Analytics and AWS 2. Getting Started with AWS 3. Collecting Data with AWS 4. Processing Data on AWS 5. Descriptive Analytics on AWS 6. Advanced Data Analysis on AWS 7. Additional Use Cases for Data Analysis 8. Data Visualization and Interaction on AWS 9. The Future of Data Analytics 10. Conclusion and Next Steps Index
Big Data Analytics For Cloud Iot And Cognitive Computing
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Author : Kai Hwang
language : en
Publisher: John Wiley & Sons
Release Date : 2017-03-17
Big Data Analytics For Cloud Iot And Cognitive Computing written by Kai Hwang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-17 with Computers categories.
The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.
Big Data Analytics And Cloud Computing
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Author : Marcello Trovati
language : en
Publisher: Springer
Release Date : 2016-01-12
Big Data Analytics And Cloud Computing written by Marcello Trovati and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-12 with Computers categories.
This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.
Applications Of Machine Learning In Big Data Analytics And Cloud Computing
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Author : Subhendu Kumar Pani
language : en
Publisher: CRC Press
Release Date : 2022-09-01
Applications Of Machine Learning In Big Data Analytics And Cloud Computing written by Subhendu Kumar Pani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Computers categories.
Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions. This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics.
Scalable Data Analytics With Azure Data Explorer
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Author : Jason Myerscough
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-17
Scalable Data Analytics With Azure Data Explorer written by Jason Myerscough and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-17 with Computers categories.
Write efficient and powerful KQL queries to query and visualize your data and implement best practices to improve KQL execution performance Key FeaturesApply Azure Data Explorer best practices to manage your data at scale and reduce KQL execution timeDiscover how to query and visualize your data using the powerful KQLManage cluster performance and monthly costs by understanding how to size your ADX cluster correctlyBook Description Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters. The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance. By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI. What you will learnBecome well-versed with the core features of the Azure Data Explorer architectureDiscover how ADX can help manage your data at scale on AzureGet to grips with deploying your ADX environment and ingesting and analyzing your dataExplore KQL and learn how to query your dataQuery and visualize your data using the ADX UI and Power BIIngest structured and unstructured data types from an array of sourcesUnderstand how to deploy, scale, secure, and manage ADXWho this book is for This book is for data analysts, data engineers, and data scientists who are responsible for analyzing and querying their team's large volumes of data on Azure. SRE and DevOps engineers who deploy, maintain, and secure infrastructure will also find this book useful. Prior knowledge of Azure and basic data querying will help you to get the most out of this book.
Advances In Big Data And Cloud Computing
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Author : Elijah Blessing Rajsingh
language : en
Publisher: Springer
Release Date : 2018-04-06
Advances In Big Data And Cloud Computing written by Elijah Blessing Rajsingh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-06 with Technology & Engineering categories.
This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies, it provides novel ideas that further world-class research and development. This concise compilation of articles approved by a panel of expert reviewers is an invaluable resource for researchers in the area of advanced engineering sciences.