BIG DATA ANALYTICS WITH APACHE HADOOP AND SPARK: A guide to using Hadoop and Spark frameworks for big data analytics and real-time processing - Brossura

Sloane, Renata

Brossura

ISBN 13: 9798281333160

Casa editrice: Independently published, 2025

Riassunto

Unlock the power of Big Data and dive deep into the world of Hadoop and Spark with this comprehensive guide! Whether you're a beginner or an experienced data enthusiast, this book provides you with all the tools you need to understand, implement, and master big data analytics. Explore the intricacies of Apache Hadoop and Apache Spark, two of the most powerful frameworks in the industry, and learn how to leverage them for real-time data processing and analysis.

Inside, you will discover:

• An introduction to Hadoop and Spark, their ecosystems, and how they work together to handle vast datasets.

• Step-by-step guidance on setting up Hadoop and Spark environments, including real-world examples and practical tips.

• In-depth coverage of key concepts such as MapReduce, HDFS, Spark RDDs, and machine learning integration.

• Best practices for working with real-time data processing and scalable analytics solutions.

• Insights on optimizing performance and troubleshooting common issues.

Whether you're looking to boost your career in data science, explore the potential of big data analytics, or develop high-performance data pipelines, this book is your go-to resource. Equip yourself with the knowledge to analyze massive datasets and derive meaningful insights using the Apache Hadoop and Spark frameworks.

Why This Book Is Different:

• Clear, practical instructions for hands-on learning.

• Real-world examples to apply in your projects.

• Focus on scalability, real-time processing, and advanced analytics.

• Perfect for anyone eager to break into the world of Big Data.

Start mastering Big Data with Hadoop and Spark today!

Dettagli dell?edizione

• Editore: Independently published
• Data di pubblicazione: 2025
• ISBN 13: 9798281333160
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 169
• Contatto del produttore: non disponibile