Title
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addisonwesley Data & Analyti,Used
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The Complete Guide to Data Science with HadoopFor Technical Professionals, Businesspeople, and StudentsDemand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: highlevel concepts, deepdive techniques, realworld use cases, practical applications, and handson tutorials.The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization.Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP).This guide provides a strong technical foundation for those who want to do practical data science, and also presents businessdriven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives.Learn What data science is, how it has evolved, and how to plan a data science career How data volume, variety, and velocity shape data science use cases Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark Data importation with Hive and Spark Data quality, preprocessing, preparation, and modeling Visualization: surfacing insights from huge data sets Machine learning: classification, regression, clustering, and anomaly detection Algorithms and Hadoop tools for predictive modeling Cluster analysis and similarity functions Largescale anomaly detection NLP: applying data science to human language
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has two hundred fifty-six pages. It provides a comprehensive guide to data science using Hadoop and Spark.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it lightweight and easy to handle for readers.
- Q: What are the dimensions of this book? A: The dimensions are six point nine inches in length, zero point seventy-one inches in width, and nine point zero two inches in height. These measurements make it portable and easy to fit on shelves.
- Q: How do I apply the concepts from this book? A: You can apply the concepts by following hands-on tutorials and real-world use cases provided in the book. It is designed for both technical professionals and businesspeople.
- Q: Is this book suitable for beginners in data science? A: Yes, this book is suitable for beginners. It introduces essential data science concepts and gradually builds up to more complex applications.
- Q: Can I use this book for self-study? A: Yes, this book is excellent for self-study. It includes practical applications and tutorials that guide you through the learning process.
- Q: How should I store this book? A: Store this book in a cool, dry place away from direct sunlight. This will help maintain its condition over time.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or exchange. Most sellers have return policies in place to handle such issues.
- Q: Is this book safe for all audiences? A: Yes, the content of this book is safe for all audiences. It focuses on data science concepts without inappropriate material.
- Q: What topics does this book cover? A: This book covers topics like data ingestion, machine learning, predictive modeling, and natural language processing. It provides a comprehensive look at data science with Hadoop and Spark.
- Q: Does this book include case studies? A: Yes, it includes real-world case studies. These case studies help illustrate how to apply data science techniques in practical scenarios.
- Q: How can this book help my data science career? A: This book provides foundational knowledge and practical skills that can enhance your data science career. It also offers guidance on how to optimize data science initiatives.
- Q: What is the author's background? A: The author, Ofer Mendelevitch, is an expert in data science and has extensive experience with Hadoop and Spark. His expertise adds credibility to the content.
- Q: Can I find exercises in this book? A: Yes, the book includes hands-on exercises. These exercises reinforce learning and help you practice the concepts covered.
- Q: Does this book provide visual aids? A: Yes, it provides visual aids such as diagrams and charts. These visual aids help clarify complex concepts in data science.