Redmond Big Data Analytics and Hadoop Training
$0 – $495
Redmond Big Data Analytics and Hadoop Training

Redmond Big Data Analytics and Hadoop Training

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Instructor led Online | Video Conference

Omni212

Redmond, Washington 98052

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Description


Next class starting

December 5, 2016


Video Conference link

Big Data Analytics & Hadoop Training
Mon, Dec 5, 2016 8:00 AM - 10:00 AM Pacific Standard Time

Please join my meeting from your computer, tablet or smartphone.
https://global.gotomeeting.com/join/721907101

You can also dial in using your phone.
United States +1 (669) 224-3412

Access Code: 721-907-101

First GoToMeeting? Try a test session: http://help.citrix.com/getready


Training Session Details

There will be 8 online sessions, each session being of 2-3 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises.


Training Dates

December 5,7,9,12,14,16,19,21

Timings: 8 AM - 10 AM US Pacific time

Each session will be recorded and the recordings will be shared after each session with students who have paid for the training.


Pre-requisite

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


Software access

A Microsoft cloud Azure account will be provided to every student where they will install hortonworks hadoop on the cloud virtual machines. Students will carry out the hands-on lab exercises with instructor guidance.


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: Big Data – BI and Reporting using Power BI

• Introduction to Power BI

• Usual workflow of Power BI

• Power BI Ecosystem

• Getting Data into Power BI

• Reports vs Dashboards

• Additional elements of Power BI Reports

Hands-On Lab:

• Fetching HDInsight Data into Power BI desktop

• Data Modelling using Power BI desktop

• Creating reports using Power BI desktop

Session 8: PowerBI.com services – Deep dive

• Power BI Dashboards

• Natural Language Query

• Power BI Workspaces – Personal and Group Workspaces

• Sharing using OneDrive for Business

Hands-On Lab:

• Publishing reports to Powerbi.com

• Sharing reports using OneDrive for Business

End-to-End Use Case Implementation- Lab Exercise

• Use case -Healthcare Analytics using Hadoop framework through Microsoft HDInsight and Power BI


Class Size: Maximum 22


Price: $495


PLEASE NOTE:
1. Pre-registration is FREE. You will be able to attend the first few sessions for FREE subject to availability.
2. However once the sessions with Hands-on lab exercises begin, you will need to purchase a training ticket.
3. Each paying student get access to a login account on the cloud, Microsoft Azure, where they install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance.There will be 2 experienced big data, hadoop instructors supporting the students throughout the class.


ADVANTAGE OF PURCHASING TRAINING TICKET:
1. Class recordings will be made available.
2. Post class support
3. Course material available.
4. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors.
5. Career advancement and Job placement assistance


REFUND POLICY:
1. 100% refund will be provided only if we DO NOT hold the class and/or we reschedule the class and the new dates and timings don't work for you.
2. If the class is held as per schedule, you don't show up or you register, purchase a training ticket and then change your mind, we will not issue a refund.

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Date and Time

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Instructor led Online | Video Conference

Omni212

Redmond, Washington 98052

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