Mastering Hadoop Ecosystem & Big Data Processing
Overview
The Mastering Hadoop Ecosystem & Big Data Processing program is designed for data engineers, big data analysts, and IT professionals who want to develop expertise in processing and managing large-scale data using the Hadoop ecosystem. This course provides hands-on training in Hadoop Distributed File System (HDFS), MapReduce, Apache Spark, Hive, Pig, HBase, Flume, Sqoop, and YARN. Learners will gain practical experience in building scalable data pipelines and optimizing big data workflows for real-world applications.
- Use Hadoop, Hive, and Spark for big data processing and analysis.
- Implement scalable distributed computing solutions.
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Introduction to Big Data & Hadoop Ecosystem
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Hadoop Distributed File System (HDFS) & YARN
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Data Processing with MapReduce
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Apache Hive – Data Warehousing on Hadoop
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Apache Pig – Scripting for Big Data Processing
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NoSQL Database Management with HBase
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Data Ingestion with Sqoop & Flume
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Real-Time Big Data Processing with Apache Spark
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Workflow Automation with Apache Oozie
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Capstone Project – End-to-End Big Data Pipeline
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