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Overview

Course Description

Course Content


  • Introduction to big data
  • Common big data domain scenarios
  • Limitations of traditional solutions
  • What is Hadoop?
  • Hadoop 1.0 ecosystem and its Core Components
  • Hadoop 2.x ecosystem and its Core Components
  • Application submission in YARN
  • Distributed File System
  • Hadoop Cluster Architecture
  • Replication rules
  • Hadoop Cluster Modes
  • Rack awareness theory
  • Hadoop cluster administrator responsibilities
  • Understand working of HDFS
  • NTP server
  • Initial configuration required before installing Hadoop
  • Deploying Hadoop in a pseudo-distributed mode
  • OS Tuning for Hadoop Performance
  • Pre-requisite for installing Hadoop
  • Hadoop Configuration Files
  • Stale Configuration
  • RPC and HTTP Server Properties
  • Properties of Namenode, Datanode and Secondary Namenode
  • Log Files in Hadoop
  • Deploying a multi-node Hadoop cluster
  • Question-Answer Session
  • Commisioning and Decommissioning of Node
  • HDFS Balancer
  • Namenode Federation in Hadoop
  • High Availabilty in Hadoop
  • .Trash Functionality
  • Checkpointing in Hadoop
  • Distcp and Disk balancer
  • Different Processing Frameworks
  • Different phases in Mapreduce
  • Spark and its Features
  • Application Workflow in YARN
  • YARN Metrics
  • YARN Capacity Scheduler and Fair Scheduler
  • Service Level Authorization (SLA)
  • Different Processing Frameworks
  • Different phases in Mapreduce
  • Spark and its Features
  • Application Workflow in YARN
  • YARN Metrics
  • YARN Capacity Scheduler and Fair Scheduler
  • Service Level Authorization (SLA)
  • Planning a Hadoop 2.x cluster
  • Cluster sizing
  • Hardware, Network and Software considerations
  • Popular Hadoop distributions
  • Workload and usage patterns
  • Industry recommendations
  • Monitoring Hadoop Clusters
  • Hadoop Security System Concepts
  • Securing a Hadoop Cluster With Kerberos
  • Common Misconfigurations
  • Overview on Kerberos
  • Checking log files to understand Hadoop clusters for troubleshooting
  • Visualize Cloudera Manager
  • Features of Cloudera Manager
  • Build Cloudera Hadoop cluster using CDH
  • Installation choices in Cloudera
  • Cloudera Manager Vocabulary
  • Cloudera terminologies
  • Different tabs in Cloudera Manager
  • What is HUE?
  • Hue Architecture, Interface and Features
  • Explain Hive
  • Hive Setup and Configuration
  • Working with Hive
  • Setting Hive in local and remote metastore mode
  • Pig setup
  • Working with Pig
  • What is NoSQL Database
  • HBase data model and Architecture
  • MemStore, WAL, BlockCache
  • HBase Hfile
  • Compactions
  • HBase Read and Write
  • HBase balancer and hbck
  • HBase setup
  • Working with HBase
  • Installing Zookeeper
  • Types of Data Ingestion
  • HDFS data loading commands
  • Purpose and features of Sqoop
  • Perform operations like, Sqoop Import, Export and Hive Import
  • Sqoop 2
  • Install Sqoop
  • Import data from RDBMS into HDFS
  • Flume features and architecture
  • Types of flow
  • Install Flume
  • Ingest Data From External Sources With Flume
  • Flume Importing Data
  • Question-Answer Session
  • Knowledge Check

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