Big data analytics : a guide to data science practitioners making the transition to big data /: a guide to data science practitioners making the transition to big data. (2023)

• Record Type: Book
• Further Information: Note: Ulrich Matter.
• Authors: Matter, Ulrich
• Contents: Part 1. Setting the Scene: Analyzing Big Data 1. What is Big in "Big Data"? 2. Approaches to Analyzing Big Data 3. The Two Domains of Big Data Analytics Part 2. Platform: Software and Computing Resources 4. Software: Programming with (Big) Data 5. Hardware: Computing Resources 6. Distributed Systems 7. Cloud Computing Part 3. Components of Big Data Analytics 8. Data Collection and Data Storage 9. Big Data Cleaning and Transformation 10. Descriptive Statistics and Aggregation 11. (Big) Data Visualization Part 4. Application: Topics in Big Data Econometrics 12. Bottlenecks in Everyday Data Analytics Tasks 13. Econometrics with GPUs 14. Regression Analysis and Categorization with Spark and R 15. Large-scale Text Analysis with sparklyr Part 5. Appendices Appendix A. GitHub Appendix B. R Basics Appendix C. Install Hadoop
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2023
• Extent: 1 online resource (310 pages), illustrations (black and white, and colour)
• Subjects: 005.7; Big data; Machine learning; Business -- Data processing
• Languages: English
• ISBNs: 9781000932737
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.