The Big Data learning path involves mastering key technologies like Hadoop, Hive, and NoSQL databases. Hadoop provides a foundation for distributed storage and processing, while Hive allows SQL-like querying of large datasets. NoSQL databases enable scalable, flexible data storage. Continuous learning and hands-on practice with these tools are essential for mastering Big Data principles and practices.
Index | Name | Difficulty | Tutorial Link |
---|---|---|---|
01 | 📖 Introductory Java Programming Fundamentals | ★☆☆ | 🔗 View |
02 | 📖 Variables and Operators | ★☆☆ | 🔗 View |
03 | 📖 Java Conditional Expressions Fundamentals | ★☆☆ | 🔗 View |
04 | 📖 Recursion and Loops | ★☆☆ | 🔗 View |
05 | 📖 Methods & Parameters and Object | ★☆☆ | 🔗 View |
06 | 📖 Number, String and Array | ★☆☆ | 🔗 View |
07 | 📖 Class and Object | ★☆☆ | 🔗 View |
08 | 📖 Access Modifiers and Inheritance | ★☆☆ | 🔗 View |
09 | 📖 Overloading and Overriding | ★☆☆ | 🔗 View |
10 | 📖 Abstraction and Interface | ★☆☆ | 🔗 View |
11 | 📖 Polymorphism and Encapsulation | ★☆☆ | 🔗 View |
12 | 📖 Arranging Classes by Functionality | ★☆☆ | 🔗 View |
13 | 📖 Hadoop Installation and Deployment | ★☆☆ | 🔗 View |
14 | 📖 Architecture and Operations of HDFS | ★☆☆ | 🔗 View |
15 | 📖 YARN Architecture and Development | ★☆☆ | 🔗 View |
16 | 📖 Quick Start to Hive | ★☆☆ | 🔗 View |
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