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Apache Hadoop on AWS Cloud
Learning Big Data and Hadoop
Hadoop Architecture and HDFS
Hadoop MapReduce Framework
Advanced MapReduce Concepts
Batch Processing Tools in Hadoop (Batch ETL)
Batch Processing Tools in Hadoop (Batch ETL)
Apache Hive
Apache Sqoop
Apache Pig
Real Time Processing Tools & Real Time Data Storage inside Data Lake (Real Time ETL)
Apache Flume (Real Time ETL)
Apache KAFKA (Real Time Data Storage)
Confluent Kafka External APIs & Related Services
Orchestration Engine for Scheduling of ETL Jobs(Batch & Real-Time) in Big Data Applications:
Apache Oozie
APACHE AIRFLOW
Commonly used NOSQL Databases in Big Data Pipelines
Apache HBase
Apache CASSANDRA
Data Processing with Apache Spark
Big Data Related Services on AWS Cloud
Deploying BIG Data application in Production environment using Docker & Kubernetes:
Docker Overview for Deploying Big Data Applications
Kubernetes Overview for Deploying BIG Data Applications
Apache Hadoop is a collection of network of multiple computers involved in solving and computing tremendous amount of data. Data Storage in Hadoop is done in a distributed file system, known as HDFS that provides very high bandwidth through different clusters.
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