Introduction to Big Data and Hadoop training for beginners in Prague | Big Data Training for Beginners | Hadoop training | Big Data analytics training , Entirety Technologies, Středa, 17. Červenec 2019

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

This is a weekdays course that will be held July 16 - August 8, 2019 US Pacific Time
The class sessions will be held-Monday, Wednesday every week
6:30-8:30 PM US Pacific time, each day.
Please check your local date and time for first session.

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)

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

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.

Středa, 17. Červenec 2019, Entirety Technologies, Introduction to Big Data and Hadoop training for beginners in Prague | Big Data Training for Beginners | Hadoop training | Big Data analytics training

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