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Big Data Analytics with Hadoop: Tools, Techniques, and Best Practices
Paperback
Publisher: Independently Published
Published: Dec 15 2024
Pages: 212
Weight: 0.64
Height: 0.45 Width: 6.00 Depth: 9.00
Language: English
Learn everything from core Hadoop components to advanced topics like machine learning integration and real-time analytics. Future-Ready Skills
Gain expertise in cutting-edge technologies including Apache Spark, NoSQL databases, and cloud integration. Key Topics Covered
- Distributed computing fundamentals and HDFS architecture
- Real-time data processing with Apache Spark
- Machine learning implementation with Apache Mahout
- Cloud deployment strategies for AWS, Google Cloud, and Azure
- Security best practices and compliance frameworks
- Performance optimization techniques
- Integration with NoSQL databases and visualization tools
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