Join us on a literary world trip!
Add this book to bookshelf
Grey
Write a new comment Default profile 50px
Grey
Subscribe to read the full book or read the first pages for free!
All characters reduced
Managing Big Data Effectively - cover

Managing Big Data Effectively

Bhima Asan

Publisher: Educohack Press

  • 0
  • 0
  • 0

Summary

The illustrations in this book are created by “Team Educohack”.
 
Managing Big Data Effectively bridges the gap between analytical principles, business practices, and Big Data. This book provides a comprehensive interface between engineering, technology, and management's organizational, administrative, and planning skills. It also complements other disciplines such as economics, finance, marketing, decision-making, and risk analysis.
 
We designed this book for engineers, economists, researchers, and professionals who aim to develop new management skills or integrate management principles into their work. The authors offer original research and case studies that illustrate successful applications of management techniques in real-world scenarios involving Big Data.
 
Managing Big Data Effectively is an invaluable resource for understanding how to synthesize Big Data with management practices to drive business success and innovation.
Available since: 01/03/2025.
Print length: 297 pages.

Other books that might interest you

  • Cloud Computing for Beginners - A Comprehensive Beginner's Guide to Understanding the Power and Potential of Cloud Technology - cover

    Cloud Computing for Beginners -...

    James Ferry

    • 0
    • 0
    • 0
    "Cloud Computing for Beginners" is your essential guide to navigating the dynamic world of cloud technology with confidence and clarity. This comprehensive beginner's manual offers a thorough exploration of the power and potential of cloud computing, providing readers with the knowledge and skills needed to harness its full capabilities. 
    In this accessible and informative book, you'll embark on a journey through the fundamentals of cloud computing, demystifying complex concepts and terminology along the way. From understanding the underlying principles of cloud technology to exploring its practical applications in everyday life and business, this guide covers all the essentials to help you build a solid foundation in cloud computing. 
    Discover how cloud computing enables individuals and businesses to access computing resources on demand, scale their infrastructure dynamically, and drive innovation with agility. Learn about the different types of cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), and how they can be tailored to meet diverse needs and objectives. 
    With practical examples, real-world case studies, and hands-on exercises, "Cloud Computing for Beginners" equips you with the tools and techniques to leverage cloud technology effectively. Whether you're a complete novice or an IT professional looking to expand your skills, this book provides the guidance and insights you need to navigate the ever-evolving landscape of cloud computing with confidence. 
    Empower yourself with the knowledge and understanding to harness the full power and potential of cloud technology. Whether you're a student, entrepreneur, or business leader, "Cloud Computing for Beginners" is your indispensable companion on the journey to mastering cloud computing and unlocking a world of possibilities. 
     
    Show book
  • Natural Language Processing for Beginners - Demystifying Language in the Digital Age - cover

    Natural Language Processing for...

    Rayan Murray

    • 0
    • 0
    • 0
    Embark on a journey into the fascinating realm of Natural Language Processing for Beginners a comprehensive guide designed for beginners eager to explore the intersection of language and technology. In this user-friendly book, we demystify the complexities of NLP, breaking down intricate concepts into digestible, step-by-step explanations. 
    Starting with the basics of language structure, readers will gain a solid foundation before delving into the historical evolution of NLP and its pivotal role in today's technological landscape. Practical and hands-on, the book equips readers with the essential tools, programming languages, and libraries needed to begin their NLP journey, including insights into popular languages like Python and key libraries such as NLTK and SpaCy. 
    "Natural Language Processing for Beginners" goes beyond theory, guiding readers through the practical aspects of text preprocessing, introducing NLP fundamentals like Named Entity Recognition and Part-of-Speech tagging, and showcasing the integration of machine learning in NLP applications. With a focus on accessibility, the book takes readers through the process of building their first NLP model, providing a tangible and rewarding learning experience. 
    As the journey progresses, readers will explore advanced NLP techniques, including word embeddings and deep learning concepts like recurrent neural networks and attention mechanisms. The book also delves into real-world applications of NLP, from chatbots and virtual assistants to language translation and text summarization. 
    "Natural Language Processing for Beginners" doesn't just stop at the present; it explores future trends in NLP, providing a glimpse into emerging technologies and the evolving landscape of artificial intelligence. 
     
    Show book
  • Data Quality for Beginners - Architecting Scalable Solutions for Informed Decision-Making and Innovation - cover

    Data Quality for Beginners -...

    SAM CAMPBELL

    • 0
    • 0
    • 0
    "Data Quality for Beginners: Architecting Scalable Solutions for Informed Decision-Making and Innovation" is an essential guide for those embarking on the journey to understand and improve the quality of data within their organizations. This comprehensive book demystifies the complexities surrounding data quality, offering readers a foundational understanding coupled with practical insights into architecting scalable solutions that foster informed decision-making and drive innovation. 
    Starting with the basics, the book explores the critical importance of high-quality data in the modern business landscape, where data-driven decisions and strategies have become paramount. It introduces readers to the key concepts of data quality, including accuracy, completeness, consistency, timeliness, and reliability, and explains why each is vital for organizational success. 
    The heart of the book is dedicated to guiding beginners through the process of establishing robust data quality management frameworks (DQMFs). It covers the steps involved in assessing current data quality, setting realistic improvement goals, and developing strategies to address identified issues. The book emphasizes the role of continuous monitoring and maintenance to ensure long-term data quality, alongside the implementation of effective data governance to support these efforts. 
    "Data Quality for Beginners" also dives into the technical aspects of architecting scalable data quality solutions, including the selection and application of data quality tools and technologies. It explores how artificial intelligence and machine learning can be leveraged to enhance data quality processes, making them more efficient and proactive. 
     
    Show book
  • Relativity: The Special and General Theory - cover

    Relativity: The Special and...

    Albert Einstein

    • 0
    • 0
    • 0
    In Relativity: The Special and General Theory, one of history's greatest scientific minds offers a lucid and engaging explanation of the theories that reshaped our understanding of the universe. Written for readers without advanced mathematical training, this landmark work guides us through the principles of special relativity - where time dilates and mass bends light - and into the profound depths of general relativity, where gravity is no longer a force but a curvature of spacetime itself.
    Einstein's clarity, insight, and humility make this more than a scientific treatise - it's a philosophical reflection on reality, perception, and the power of human thought. Whether you're a curious beginner or a seasoned thinker, this timeless classic invites you to explore the elegant logic behind the cosmos.
    Show book
  • Modern Web Development with Go - cover

    Modern Web Development with Go

    Anonymous

    • 0
    • 0
    • 0
    Build fast, scalable web server applications by harnessing the power of solution-driven programming with Go. 
    
    KEY FEATURES 
    - Understanding the core concepts of the Go programming language.
    - Designing and development of modern Web Server applications.
    - Dealing with different kinds of database management solutions.
    - Deploying applications with cutting edge technologies.
    - Monitoring and maintenance of applications with popular tools.
    
    DESCRIPTION
    In this book, we are going to learn how to design, develop and deploy Web Server Applications using the Go programming language. In recent years, Go has become the industrial standard for these kinds of applications; so by learning this, a lot of good opportunities can be opened in the market. All subjects will be covered through various practical examples.
    This book will cover the state-of-the-art technology for the development of Web Applications and follow all industrial standards. At the beginning we will do the preparation for development. Here, we will learn the basics of the Go programming language, the basics of Web Servers, how to set up a project with Go, and how to design software solutions.
    Later, we will concentrate more on development. We will learn how to develop the application designed in the previous chapters, how to use different types of databases, how to test our application, and how to make it secure. At the end of the book, we will show how to deploy the application and monitor it after deployment.
    After reading this book, the readers can independently develop Web Server Applications or include themselves in already-started projects.
    
    WHAT WILL YOU LEARN 
    - Solve common problems with the Go programming language.
    - Be familiar with the terms related to server applications.
    - Understand the phases in the software development process.
    - Be able to independently design software solutions and use some best practices.
    - Be familiar with multiple different database management solutions (relational and NoSQL) and be able to predict which best suits their needs.
    - Learn how to deploy applications.
    - Understand and know how to apply monitoring and alerting concepts.
    
    WHO THIS BOOK IS FOR
    The book is for beginners and experienced developers who want to learn and have a thorough introduction to web development using the Go programming language. With a lot of practical examples and guidelines on how to install and configure specific tools, beginners will easily understand and follow the content covered in this book. On the other hand, more experienced developers will certainly find some useful tips and tricks. 
    TABLE OF CONTENTS 
    1. Basic Concepts of Go programming language
    2. Advanced Concepts of Go programming language
    3. Web Servers
    4. Setting up a project with Go programming language
    5. Design of Web Applications
    6. Application layers
    7. Relational databases and Repository layer
    8. NoSQL databases and Repository layer
    9. Testing
    10. Security
    11. Deploying Web Application
    12. Monitoring and Alerting
    Show book
  • Data Analysis for Beginners - The ABCs of Data Analysis An Easy-to-Understand Guide for Beginners - cover

    Data Analysis for Beginners -...

    Brian Murray

    • 0
    • 0
    • 0
    Data Analysis for Beginners: The ABCs of Data Analysis is the perfect starting point for anyone eager to dive into the world of data analysis but unsure where to begin. This easy-to-understand guide takes the mystery out of data analysis, breaking down complex concepts into simple, digestible steps that anyone can follow. 
    Designed with beginners in mind, this book provides a solid foundation in the key principles and tools needed to analyze data effectively. From understanding the types of data and basic statistical concepts to learning how to clean, visualize, and interpret datasets, Data Analysis for Beginners equips you with the skills to make data-driven decisions with confidence. 
    With clear explanations, practical examples, and helpful illustrations, this book guides you through the essential stages of data analysis, including:Understanding data types and structuresMastering basic statistical methodsCleaning and organizing data for analysisUsing data visualization tools to uncover insightsInterpreting results and making informed decisions 
    Ideal for aspiring data analysts, business owners, or anyone looking to enhance their data literacy, this book provides a hands-on approach to learning that will give you the confidence to tackle real-world data analysis challenges. By the end of the book, you’ll have a strong grasp of fundamental data analysis concepts, setting you on the path to becoming a skilled data analyst in no time.
    Show book