
Big Data for Beginners
Brian Murray
In today's data-driven world, the ability to collect, manage, and analyze large amounts of data is essential for businesses and individuals alike. But with so much information available, it can be overwhelming to know where to begin. "Big Data for...
Location:
United States
Description:
In today's data-driven world, the ability to collect, manage, and analyze large amounts of data is essential for businesses and individuals alike. But with so much information available, it can be overwhelming to know where to begin. "Big Data for Beginners" is the perfect guide for anyone who wants to gain a solid understanding of the concepts and tools used for managing and analyzing large data sets. This book provides an introduction to the world of big data, exploring topics such as data mining, data warehousing, and data visualization. It covers the essential tools and technologies used for managing and processing big data, including Hadoop, Spark, and NoSQL databases. In addition to technical knowledge, "Big Data for Beginners" also emphasizes the importance of data ethics and privacy. The book covers best practices for data governance, security, and compliance, helping readers navigate the complex legal and ethical landscape of big data. Whether you're a business owner looking to leverage big data for competitive advantage, a data analyst seeking to expand your skills, or simply someone who wants to understand the world of big data, "Big Data for Beginners" is an essential resource. With clear explanations, real-world examples, and practical tips, this book provides everything you need to get started with big data. Duration - 6h 44m. Author - Brian Murray. Narrator - Ray Collins. Published Date - Wednesday, 14 January 2026. Copyright - © 2025 Brian Murray ©.
Language:
English
Opening Credits
Duración:00:00:14
Book 1 data modeling and database
Duración:00:00:06
Chapter 1 introduction to data
Duración:00:16:48
Chapter 2 data collection and storage
Duración:00:54:11
Chapter 3 data cleaning and
Duración:01:00:33
Book 2 data preprocessing optimizing
Duración:00:00:09
Chapter 1 data analysis and
Duración:00:32:48
Chapter 2 big data and its challenges
Duración:00:26:18
Chapter 3 data governance and ethics
Duración:00:51:12
Chapter 4 data integration and
Duración:00:27:48
Book 3 data warehousing unlocking the
Duración:00:00:09
Chapter 1 real time data processing
Duración:00:28:36
Chapter 2 machine learning for data
Duración:00:42:14
Chapter 3 applications of data
Duración:00:45:51
Appendix tools and technologies
Duración:00:15:50
Ending Credits
Duración:00:01:38