Big Data for beginners

$17.00
Compare

amazon paymentsamerican expressapple paybitcoindankortdiners clubdiscoverdogecoindwollaforbrugsforeningeninteracgoogle payjcbklarnaklarna-pay-laterlitecoinmaestromasterpaypalshopify paysofortvisa
SKU:
Availability : In Stock Pre order Out of stock
Categories: Bestselling BIG DATA
Description

Unlock the Power of Big Data Analytics in the Modern World

Are you ready to dive into the fascinating world of big data analytics? "Big Data for Beginners" is your essential guide to understanding and harnessing the potential of big data in the modern era. Whether you're new to the concept or looking to expand your knowledge, this comprehensive book equips you with the foundational knowledge and tools to navigate the complexities of big data and make informed decisions.

Key Features:

  1. Introduction to Big Data: Dive deep into the fundamental concepts of big data, from its definition to its significance in today's data-driven landscape. Build a strong foundation that empowers you to navigate the vast world of big data.
  2. Understanding Data Sources: Navigate the diverse sources of big data, including structured, semi-structured, and unstructured data. Learn how to gather, process, and manage data from various sources to extract valuable insights.
  3. Big Data Technologies: Discover the technologies that power big data analytics. Explore tools like Hadoop, Spark, and NoSQL databases, understanding their role in processing and analyzing massive datasets.
  4. Data Storage and Processing: Master the art of storing and processing big data effectively. Learn about distributed file systems, data warehouses, and batch and real-time processing to ensure scalability and efficiency.
  5. Data Analysis and Visualization: Uncover strategies for analyzing and visualizing big data. Explore techniques for data exploration, pattern recognition, and creating compelling visual representations that convey insights effectively.
  6. Machine Learning and Predictive Analytics: Delve into the world of machine learning and predictive analytics using big data. Learn how to build models that make accurate predictions and informed decisions based on massive datasets.
  7. Big Data Security and Privacy: Explore the challenges of securing and preserving privacy in the realm of big data. Learn how to implement encryption, access controls, and anonymization techniques to protect sensitive information.
  8. Real-World Applications: Discover the myriad applications of big data across industries. From healthcare to finance, retail to marketing, explore how big data is transforming business operations and decision-making.
  9. Challenges and Future Trends: Gain insights into the challenges posed by big data, such as data quality and scalability issues. Explore the future trends and advancements that are shaping the evolution of big data analytics.
  10. Ethical Considerations: Delve into the ethical considerations surrounding big data. Learn about responsible data usage, addressing bias, and maintaining transparency in the collection and analysis of data.

Who This Book Is For:

"Big Data for Beginners" is an indispensable resource for individuals, students, professionals, and enthusiasts who are eager to grasp the fundamentals of big data analytics. Whether you're a beginner curious about the world of data or an experienced professional seeking to enhance your skills, this book will guide you through the intricacies and empower you to harness the potential of big data.

About the author:
Cybellium 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.


Buy Now: Available in Hardcover, Paperback, and eBook formats.