$585.11 – $691.20

Introduction to Big Data and Hadoop training for beginners in Christchurch...

Event Information

Share this event

Date and Time

Location

Location

Entirety Technologies

Christchurch

New Zealand

View Map

Refund Policy

Refund Policy

Refunds up to 1 day before event

Event description

Description

In this course we start at foundational level with Big Data technical essentials where you can learn the foundations of hadoop, big data technology in this course for anyone who wants to get started using.


Course Schedule


Prerequisite

Desired but not required - Exposure to, Working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel, java programming language


Course Features

  • 4 weeks, 8 sessions, 16 hours of total LIVE Instruction
  • Training material, instructor handouts and access to useful resources on the cloud provided
  • Practical Hands on Lab exercises on cloud workstations provided
  • Actual code and scripts provided
  • Real-life Scenarios


Course Outline


Session 1: Big Data Basics
  • An introduction to Big Data?
  • Why is Big Data? Why now?
  • The Three Dimensions of Big Data (Three Vs)
  • Evolution of Big Data
  • Big Data versus Traditional RDBMS Databases
  • Big Data versus Traditional BI and Analytics
  • Big Data versus Traditional Storage
  • Key Challenges in Big Data adoption
  • Benefits of adoption of Big Data
  • Introduction to Big Data Technology Stack
  • Apache Hadoop Framework
  • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service
Hands-On Lab:
  • Creating Azure Storage Account
  • Creating HDInsight Cluster
  • Using services on HDInsight Cluster

Session 2: The Big Data Technology Stack
  • Basics of Hadoop Distributed File System (HDFS)
  • Basics of Hadoop Distributed Processing (Map Reduce Jobs)
Hands-On Lab:
  • Loading files to Azure storage account
  • Moving files across HDInsight Cluster
  • Remote Access to Azure Storage Account and HDInsight Cluster

Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour)
  • HDFS
  • Reading files with HDFS
  • Writing files with HDFS
  • Error Handling
Hands-On Lab:
  • Accessing Hadoop configuration files using HDInsight Cluster

Session 4: Processing Big Data –MapReduce and YARN
  • How MapReduce works
  • Handling Common Errors
  • Bottlenecks with MapReduce
  • How YARN (MapReduceV2) works
  • Difference between MR1 and MR2
  • Error Handling
Hands-On Lab:
  • Running a simple MapReduce application (word count)
  • Running a custom MapReduce application (census data)
  • Running MapReduce via PowerShell
  • Running a MapReduce application using PowerShell
  • Monitoring application status

Session 5: Big Data Development Framework
  • Introduction to HIVE
  • Introduction to PIG
  • HBase
Hands-On Lab:
  • Loading the data into HIVE
  • Submitting Pig jobs using HDInsight
  • Submitting Pig jobs via PowerShell

Session 6: Big Data Integration and Management
  • Big Data Integration using Polybase
  • Big Data Management using Ambari
Hands-On Lab:
  • Fetching HDInsight data into SQL
  • Using Ambari for managing HDInsight cluster

Session 7: Map Reduce

Session 8: Big Data Analytics


Refund Policy

  • 100% refund can be applied if request is initiated 24 hours before the 1st course session.
  • If a class is rescheduled/cancelled by the organizer, registered students will be offered a credit towards any future course or a 100% refund.










Share with friends

Date and Time

Location

Entirety Technologies

Christchurch

New Zealand

View Map

Refund Policy

Refunds up to 1 day before event

Save This Event

Event Saved