Big Data Analytics with Java 1st Edition by Rajat Mehta ISBN 9781787282193 1787282198

Big Data Analytics with Java 1st Edition by Rajat Mehta – Ebook PDF Instant Download/Delivery: 9781787282193 ,1787282198
Full download Big Data Analytics with Java 1st Edition after payment

Product details:
ISBN 10: 1787282198
ISBN 13: 9781787282193
Author: Rajat Mehta

• Acquire real-world set of tools for building enterprise level data science applications
• Surpasses the barrier of other languages in data science and learn create useful object-oriented codes
• Extensive use of Java compliant big data tools like apache spark, Hadoop, etc.

Big Data Analytics with Java 1st Edition Table of contents:

Chapter 1: Introduction to Big Data

• What is Big Data?
• The Three V’s: Volume, Velocity, and Variety
• The Big Data Ecosystem: Key Technologies and Tools
• Challenges in Big Data Analytics

Chapter 2: Getting Started with Java for Big Data

• Setting Up Your Development Environment
• Key Java Features for Big Data Analytics
• Introduction to Java Libraries and Tools for Big Data
• Understanding Java’s Role in Big Data Frameworks

Chapter 3: Working with Hadoop in Java

• Introduction to Hadoop Ecosystem
• Hadoop Distributed File System (HDFS)
• Setting Up a Hadoop Cluster
• Writing Java Programs to Interact with HDFS
• Basic Hadoop MapReduce with Java

Chapter 4: Spark for Big Data Analytics

• Overview of Apache Spark
• Installing and Configuring Spark with Java
• Working with RDDs (Resilient Distributed Datasets) in Java
• Transformations and Actions in Spark
• Running Spark Jobs Using Java API

Chapter 5: NoSQL Databases and Java Integration

• Introduction to NoSQL Databases (MongoDB, Cassandra, HBase)
• Setting Up and Configuring NoSQL Databases
• Connecting Java to NoSQL Databases
• Storing and Retrieving Big Data Using Java and NoSQL
• Use Cases for NoSQL in Big Data Analytics

Chapter 6: Data Processing and Analysis with Java

• Data Ingestion Techniques
• Data Cleaning and Preprocessing in Java
• Implementing Data Transformation Pipelines
• Statistical Analysis and Aggregation
• Using Java for Real-Time Data Processing

Chapter 7: Machine Learning with Java in Big Data

• Introduction to Machine Learning Concepts
• Using Apache Spark MLlib for Machine Learning in Java
• Building Predictive Models Using Big Data
• Supervised and Unsupervised Learning Techniques
• Evaluating Model Performance in Java

Chapter 8: Data Visualization with Java

• Introduction to Data Visualization Tools
• Visualizing Big Data Using Java Libraries
• Integrating Java with Visualization Frameworks (e.g., D3.js)
• Building Interactive Dashboards for Big Data
• Generating Reports and Insights from Big Data

Chapter 9: Advanced Topics in Big Data Analytics with Java

• Stream Processing with Apache Kafka and Java
• Big Data Security and Privacy Concerns
• Distributed Computing and Parallelism in Java
• Optimizing Java Code for Big Data Performance

Chapter 10: Best Practices for Big Data Projects in Java

• Designing Scalable Big Data Solutions
• Debugging and Monitoring Big Data Applications
• Data Governance and Quality Assurance
• Version Control, Testing, and Deployment in Big Data Projects

---

Conclusion

• Future Trends in Big Data Analytics
• The Role of Java in Emerging Big Data Technologies
• Final Thoughts on Mastering Big Data Analytics with Java

People also search for Big Data Analytics with Java 1st Edition:

big data analytics with java pdf

big data analytics examples

big data analyst jobs

data analytics with javascript

 

Tags:

Rajat Mehta,Big Data Analytics,Java