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  • CABDE - Certified Associate Big Data Engineer
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    Unit 1: Introduction to Big Data and Hadoop Ecosystem
    Introduction to big data
    Section overview of the Hadoop Ecosystem
    Understanding MapReduce
    Unit 2: HDFS and MapReduce Concepts
    Hadoop Distributed File System
    MapReduce Paradigm
    Hands-on tutorials and practicals
    Unit 3: Hadoop Components and Ecosystems
    YARN and Hadoop Cluster Configuration
    Introduction to Ambari and Cloudera Management
    Introduction to Spark and DataFrames
    Unit 4: Apache Hive and HiveQL
    Introduction and architecture of Apache Hive
    The Hive Metastore
    HiveQL and query examples
    Unit 5: Apache Pig and PigLatin
    Introduction and architecture of Apache Pig
    Development of ETL pipeline using Pig
    PigLatin and UDF examples
    Unit 6: Apache Spark and RDD
    Introduction and overview of Apache Spark
    Resilient Distributed Datasets (RDDs)
    Tutorials and practicals on implementing Spark
    Unit 7: Data Ingestion Techniques
    Introduction to data ingestion
    Hadoop Streaming for Ingestion
    Apache Kafka and Flume
    Unit 8: Data Storage and Retrieval Techniques
    Introduction to data storage
    Apache HBase and its applications
    Cassandra Introduction and Configuration
    Unit 9: Data Processing Techniques
    Introduction to data processing
    Apache storm and techniques
    Apache Flink and its applications
    Unit 10: Data Analysis and Visualization Techniques
    Introduction to Data Analysis
    Data Cleaning and Transformation Techniques
    Statistical Analysis Techniques
    Unit 11: Project Implementation
    Project ideas
    Implementation techniques
    Assistance with the project
    Unit 12: Capstone Project
    A hands-on project for the certification
    Real-time Big Data processing
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    CABDE - Certified Associate Big Data Engineer

    Skill Level: Beginner

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