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37 - ITC - Information Technology - Miscellaneous

ITC 174 - Hands on Hadoop: The Complete Guide

Code	Start Date	Duration	Venue
ITC 174	14 October 2024	5 Days	Istanbul	Registration Form Link
ITC 174	18 November 2024	5 Days	Istanbul	Registration Form Link
ITC 174	23 December 2024	5 Days	Istanbul	Registration Form Link

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Course Description

Hadoop is an open source, Java based framework used for storing and processing big data. The data is stored on inexpensive commodity servers that run as clusters. Its distributed file system enables concurrent processing and fault tolerance. Hadoop solves two key challenges with traditional databases: capcity and speed. In this course participants will learn about cluster and its architecture and will discuss Hadoop cluster administration and maintenance.

Course Objectives

Understanding Big Data and Hadoop
Learning about Hadoop cluster administration and maintenance
Understanding computational frameworks, managing resources and scheduling
Discusing pig, hive installation and working
Understanding Oozie

Who Should Attend?

Business and IT professionals
Data analysts
Data Engineers
Individuals who have no knowledge or experience in data engineering

Course Details/Schedule

Day 1

Understanding Big Data and Hadoop
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
Hadoop Cluster and its Architecture
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
Hadoop Cluster Setup and Working
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

Day 2

Hadoop Cluster Administration And Maintenance
Commisioning and Decommissioning of Node
HDFS Balancer
Namenode Federation in Hadoop
High Availabilty in Hadoop
Trash Functionality
Checkpointing in Hadoop
Distcp
Disk balancer
Computational Frameworks, Managing Resources and Scheduling
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)

Day 3

Hadoop 2.x Cluster: Planning and Management
Planning a Hadoop 2.x cluster
Cluster sizing
Hardware, Network and Software considerations
Popular Hadoop distributions
Workload and usage patterns
Industry recommendations
Pig, Hive Installation and Working (Self-paced)
Explain Hive
Hive Setup
Hive Configuration
Working with Hive
Setting Hive in local and remote metastore mode
Pig setup
Working with Pig

Day 4

HBase, Zookeeper Installation and Working (Self-paced)
What is NoSQL Database
HBase data model
HBase Architecture
MemStore, WAL, BlockCache
HBase Hfile
Compactions
HBase Read and Write
HBase balancer and hbck
HBase setup
Working with HBase
Installing Zookeeper
Understanding Oozie (Self-paced)
Oozie overview Oozie Features
Oozie workflow, coordinator and bundle Start, End and Error Node
Action Node Join and Fork
Decision Node Oozie CLI
Install Oozie

Day 5

Data Ingestion using Sqoop and Flume (Self-paced)
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
Hadoop Security and Cluster Monitoring
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

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SAHARA Group Training and Consultancy INC (in Turkish: SAHARA Group Eğitim ve Danışmanlık AŞ)

Tax Office: Beyoğlu (Istanbul/Turkiye,Tax No: 7390525151 (Vergi Dairesi: Beyoğlu (İstanbul), Vergi No: 7390525151)

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37 - ITC - Information Technology - Miscellaneous

ITC 174 - Hands on Hadoop: The Complete Guide

Course Description

Course Objectives

Who Should Attend?

Course Details/Schedule

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Day 2

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Day 5

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