Here are the major topics we cover under this Hadoop course Syllabus Introduction to Big Data, Introduction Apache Hadoop, MapReduce, Apache Hive, Apache Pig, Apache Hbase, Apache Sqoop Apache Flume, Impala, Apache Spark and related Projects. Every topic will be covered in mostly practical way with examples.
- 30+ Hours Course Duration
- Industry Expert Faculties
- Free Demo Class Available
- Completed 500+ Batches
- Certification Guidance
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Module 1: Introduction to Big Data
- Big Data relies on volume, velocity, and variety with respect to processing.
- Data can be divided into three types—unstructured data, semi-structured data, and structured data.
- Big Data technology understands and navigates big data sources, analyzes unstructured data, and ingests data at a high speed.
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Module 2: Introduction Apache Hadoop
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Module 3: MapReduce
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Module 4: Apache Hive
- Introduction to Hive
- Hive features
- Hive architecture flow
- Hive vs Pig
- HCatalog
- Hive Limitations
- Hive Data Types
- Hive Complex Data Types
- Hive data loading
- Hive Functions
- Hive Joins
- Partitioning static & Dynamic logic
- Bucketing logic
- Skewed by logic
- Hive File formats
- Performance Techniques
- Hive script execution in shell & HUE
- Hive exercises
- Hive hands on
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