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Big Data Analytics Course Training in Edmonton, Canada
Rated 4/5 based on 80 customer reviews

Big Data Analytics Course Training in Edmonton, Canada

Master Hadoop and unleash the power of Big Data!

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Modes of Delivery

Online Classroom

Collaborative, enriching virtual sessions, led by world class instructors at time slots to suit your convenience.

From CAD 1499 CAD 1299 (6 Days)

Team/Corporate Training

Our Corporate training is carefully structured to help executives keep ahead of rapidly evolving business environments.
Group Discount: 5.00% for 3 to 4 people 10.00% for 5 to 9 people 15.00% for 10+ people

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Description

The explosion of data has greatly enhanced the significance of Hadoop, as organizations worldwide have found Hadoop to be the best platform for managing and processing big data and make the best decisions to transform their business.

Trained Hadoop Data Analysts are much in demand for their expertise on using the Hadoop platform and leverage its best practices to work with big data faster and more effectively.

Our Hadoop Data Analyst course is for those who wish to access, manipulate, and analyze massive data sets using SQL and familiar scripting languages on Hadoop. Learn how to transform data using Apache Pig, Apache Hive, and Cloudera Impala and analyze it using filters, joins, and user-defined functions familiar from other technologies.

On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).

What you will learn :
  • Basics of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with Hadoop tools
  • How to join multiple data sets and analyze disparate data with Pig
  • How to organize data into tables, perform transformations, and simplify complex queries with Hive
  • How to perform real-time interactive analyses on massive data sets stored in HDFS or HBase using SQL with Impala
  • How to pick the best tool for a given task in Hadoop, achieve interoperability, and manage workflows that are repetitive
You will also learn :
  • High quality training from an industry expert
  • Hands-on experience and practical exercises
  • Downloadable e-book
  • Topic-wise Questionnaire to help you revise course content

Key Features

24 hours intensive training on Big Data and Hadoop
Get comprehensive curriculum with extensive focus on frameworks like PIG, HIVE etc.
Learn practical applications with case studies and hands on exercises
Get course completion certificate
Learn from certified, experienced instructors
Thoroughly grasp the concepts with in-depth questionnaires on each topic

1.1 Big Data Introduction

  • What is Big Data
  • Data Analytics
  • Big Data Challenges
  • Technologies supported by big data

1.2 Hadoop Introduction

  • What is Hadoop?
  • History of Hadoop
  • Basic Concepts
  • Future of Hadoop
  • The Hadoop Distributed File System
  • Anatomy of a Hadoop Cluster
  • Breakthroughs of Hadoop
  • Hadoop Distributions:
  • Apache Hadoop
  • Cloudera Hadoop
  • Horton Networks Hadoop
  • MapR Hadoop
  • Name Node
  • Data Node
  • Secondary Name Node
  • Job Tracker
  • Task Tracker
  • Blocks and Input Splits
  • Data Replication
  • Hadoop Rack Awareness
  • Cluster Architecture and Block Placement
  • Accessing HDFS
  • JAVA Approach
  • CLI Approach
  • Local Mode
  • Pseudo-distributed Mode
  • Fully distributed mode
  • Pseudo Mode installation and configurations
  • HDFS basic file operations

5.1 Writing a MapReduce Program

  • Basic API Concepts
  • The Driver Class
  • The Mapper Class
  • The Reducer Class
  • The Combiner Class
  • The Partitioner Class
  • Examining a Sample MapReduce Program with several examples
  • Hadoop's Streaming API

6.1 PIG

  • PIG concepts
  • Install and configure PIG on a cluster
  • PIG Vs MapReduce and SQL
  • Write sample PIG Latin scripts
  • Modes of running PIG
  • PIG UDFs

6.2 HIVE

  • Hive concepts
  • Hive architecture
  • Installing and configuring HIVE
  • Managed tables and external tables
  • Joins in HIVE
  • Multiple ways of inserting data in HIVE tables
  • CTAS, views, alter tables
  • User defined functions in HIVE
  • Hive UDF

6.3 SQOOP

  • SQOOP concepts
  • SQOOP architecture
  • Install and configure SQOOP
  • Connecting to RDBMS
  • Internal mechanism of import/export
  • Import data from Oracle/MySQL to HIVE
  • Export data to Oracle/MySQL
  • Other SQOOP commands

6.4 HBASE

  • HBASE concepts
  • ZOOKEEPER concepts
  • HBASE and Region server architecture
  • File storage architecture
  • NoSQL vs SQL
  • Defining Schema and basic operations
  • DDLs
  • DMLs
  • HBASE use cases

6.5 OOZIE

  • OOZIE concepts
  • OOZIE architecture
  • Workflow engine
  • Job coordinator
  • Installing and configuring OOZIE
  • HPDL and XML for creating Workflows
  • Nodes in OOZIE
  • Action nodes and Control nodes
  • Accessing OOZIE jobs through CLI, and web console
  • Develop and run sample workflows in OOZIE
  • Run MapReduce programs
  • Run HIVE scripts/jobs

6.6 FLUME

  • FLUME Concepts
  • FLUME Architecture
  • Installation and configurations
  • Executing FLUME jobs

7. Data Analytics using Pentaho as an ETL tool

  • MapReduce and HIVE integration
  • MapReduce and HBASE integration
  • Java and HIVE integration
  • HIVE - HBASE Integration

Our Students See All

Attended a 2 day weekend course by Knowledgehut for the CSM certification. The instructor was very knowledgeable and engaging. Excellent experience.

Attended workshop in April 2018

The CSPO Training was awesome and great. The trainer Anderson made all the concepts look so easy and simple. Using his past experience as examples to explain various scenarios was a plus. Moreover, it was an active session with a lot of participant involvement which not only made it interactive but interesting as well. Would definitely recommend this Training.

Attended workshop in July 2018

Great course. An interesting and interactive session to better understand how to succeed in formulating a business case and how to present it effectively.

Attended workshop in May 2018

The training was very interactive and engaging with the attendees.

Attended workshop in June 2018
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Jin Shi

Director at Timber creek Asset Management from Toronto, Canada
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Richard Dsouza

Business Analyst at Valtech from Bangalore, India
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Wily Salim

Services Project Engineer at Lendlease from Sydney, Australia
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Anish Maidh

Senior Project Manager at Telstra from Melbourne, Australia

Frequently Asked Questions

There are no prerequisites for attending this course.

Yes, KnowledgeHut does offer virtual training for Big Data Analytics. Call us for more information on the same.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

You will receive 1 credit per hour of learning which totals to 24 PDUs for the entire workshop.

To make the most effective use of the Hadoop platform, and fully analyze and utilize every aspect of data for maximized productivity, training is of paramount importance. Trained Hadoop Data Analysts will be able to leverage best practices to work with big data faster and more effectively. Our Hadoop Data Analyst course is for those who wish to access, manipulate, and analyze massive data sets using SQL and familiar scripting languages on Hadoop. Learn how to transform data using Apache Pig, Apache Hive, and analyze it using filters, and other user-defined functions familiar from other technologies.

Big Data has found uses everywhere from retail to politics to environmental issues. Most significantly it has been used to understand and target customers. Retailers are also using it with success to optimize their business processes. Big Data has also revolutionized the way healthcare operates and has helped huge advances to be made in the field of science and technology. The technology is now being used to decode complex biological patterns such as DNA strings and predict outbreak of diseases. Its use in military and defence operations have been well documented with NSA using it to foil terrorist plots. Big Data analytics have helped make better machines and optimize their performance to make our lives better and easier.

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund.

Please send in an email to support@knowledgehut.com, and we will answer any queries you may have!

This course is best suited to data analysts, business analysts, developers, and administrators who have experience with SQL and basic UNIX or Linux commands.

Big Data Analytics Course Course in Edmonton

Situated on the  banks  of  the  North Saskatchewan  River, Edmonton  is  known for  its rich  festivals  and  cultural  heritage.  The  city  also  has  a  prosperous  economy  which has  made  this  city  a  major financial  centre  in  Canada. Edmonton houses  corporate headquarters  of  various  corporations  across  sectors  like  oil  and  gas,  banking, healthcare  and  retail.  The  city  has  a  pleasant  weather and has a welcoming  culture that makes it an ethnically diverse city.

Thanks  to  all  these  corporations,  talented  professionals  have  ample  employment opportunities  in  Edmonton.  By  having  the  right certification  and training,  individuals can  easily  find  their  dream  job  in  this  city.  KnowledgeHut  is  the  ideal  option  for professionals  who  wish  to  update  their  skill-set  and  are looking  for a prosperous career.  The Big  Data  Analytics  certification  in  Edmonton from  KnowledgeHut  is  an ideal course  for  processionals  who  are  working  in  the  data  processing and  data managing sector. 

Why Big Data Analytics 

The  effective  methods  and  tools  of  Big  Data  Analytics  make  it  convenient  for organizations  to  process  and  evaluate  large  amounts  of  data.  By  adopting  this method, organizations are able to save costs and other resources. Plus, this method uses a scalable  process  and  hence,  the  results  are  sustainable  and  credible.  The flexible  nature  of  these  tools  make  it  convenient  to adopt  it  for  various  stages  and programs. 

The Benefits of this Course 

The  growing  popularity  of  Big  Data  Analytics  has  created an immense  demand  for professionals who have expertise over the methods of data analysis and processing. The Big  Data  Analytics  training  online  in  Edmonton from  KnowledgeHut  prepares one for all the challenges in data processing and enables one to tackle problems with ease. After completing the course, learners will be able to segregate large amount of data and will also have the expertise to sort the data in effective formats like tables. This program lets you transform data into various types and forms so that it is easy to evaluate  and  find  various  trends  and  patterns.  By  pursuing  the Big  Data  Analytics certification  in  Edmonton,  you  will  stay  ahead  of  the  competition  and  will  definitely have an  edge  over  peers.  The  learning  from  this  program  are  beneficial  when  you are preparing for an exam as well. 

Benefits of KnowledgeHut 

KnowledgeHut, through extensive coursework and ample practice sessions provide detailed training programs for learners. Plus, an experienced faculty makes the learning process smooth and is always available for assistance. The Big Data Analytics training online in Edmonton from KnowledgeHut is a flexible training program with various learning facilities. The online and e-learning features like online classes and online training are effective and it enables participants to complete the course at their own pace. The affordable price is another advantage of KnowledgeHut.

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