Diploma in Cloud Computing
This Course Provides a Comprehensive Understanding of Cloud Computing, Covering key Concepts, Benefits, Service Models (IaaS, PaaS, SaaS), and real-world Applications. Participants will gain hands-on experience in Data Processing, Storage, and Analytics, Preparing them for Practical Cloud-Based Solutions.
1. INTRODUCTION TO CLOUD COMPUTING
Cloud Computing Concepts: IaaS, PaaS, SaaS, Public, Private, Hybrid Clouds - Benefits and Challenges: Scalability, Cost Efficiency, Flexibility, Security, Data Management.
2. HADOOP ECOSYSTEM
Introduction to Hadoop: History and Evolution, Components - Architecture: HDFS, YARN, MapReduce.
HDFS Architecture: Nodes, Block Storage - File Operations - MapReduce Programming Model: Mapper and Reducer, Job Configuration.
Flume: Setup and Usage - Sqoop: Data Import/Export - Apache Pig: Pig Latin Basics - Apache Oozie: Workflow Scheduling.
3. APACHE SPARK
Introduction: Components, Architecture - RDDs, DataFrames, Datasets - Spark SQL - Spark Streaming - Spark MLlib.
Development: Writing Applications in Python, Scala, Java - Data Processing - Performance Tuning.
4. APACHE HIVE
Architecture and Hive Metastore - Hive Query Language (DDL/DML) - Advanced Queries (Joins, Aggregations) - UDFs - Partitions and Bucketing.
5. OPEN-SOURCE TOOLS
HBase Overview - Integration with Hadoop - Docker Basics: Container Management - Kubernetes Overview: Orchestration Basics.