Big Data Hadoop Certification Training in Toronto

Big Data Hadoop Certification Training Course in Toronto is the one destination course to master all the Big Data Hadoop and Spark concepts with Placement Oriented Training. As a leading certification provider, the world of big data and spark can be intimating for beginners. That's why trainers at GangBoard have come up with the Live Online Training course where they will help candidates to gain both theoretical knowledge as well as real-world skills that are necessary to overcome on-job challenges. Throughout this advanced-level course, aspirants will cover concepts of Hadoop, MapReduce, the extension of sparks, Hive and Impala. The Training Institute also has a team of highly qualified and experienced trainers who assist students through every step of the training and help them to crack the Big Data Hadoop Certified Professional Exam. They never hesitate to walk another mile to provide project support to ensure students will receive a real-life experience. Upon the competition of the Big Data Hadoop training course in Toronto, aspirants receive an average salary of $20000.
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About Course

GangBoard is one of the fastest-growing training institutes offers Big Data Hadoop course in Toronto to help IT aspirants to build knowledge and skills that are essential to configure big data Hadoop and Spark tools. This Placement Oriented Training and certification course are designed to conduct and perform organizational tasks like; function programming, configuration of Avro data formats, Apache spark, etc. in a better way.

What will you learn in this Big Data Hadoop training in Toronto?

Big Data Hadoop training course in Toronto is curated by the industry experts to perfectly cover both in-depth concept knowledge and skills required to become a professional in Big data.

Throughout this Live Online Training course students will learn:

  • A brief overview of the flume and scoop
  • Concepts of MapReduce
  • Functional programming with the language of spark
  • SQL framework

What is the objective of Big Data Hadoop training in Toronto?

The key objectives of big data Hadoop certification training course are to help students master the concepts and principles of big data by making them learn:

  • Basics of Hadoops and write applications leveraging them
  • Hadoop administration activities
  • Spark, Streaming, Datastream, HBase, etc.
  • Avro data and how to use it
  • Real-life projects with Hadoop

Who should attend this Big Data Hadoop certification course in Toronto?

There are many aspirants who want to go further in their respective fields but due to lack of knowledge and skills, they stay back. The Best Online Big Data Hadoop training in Toronto is designed to give those aspirants an opportunity to move on the ladder of success. Those who can pursue this course includes:

  • System Administrators
  • Project Managers
  • Testing Professionals
  • Analytics Professionals
  • Programming Developers

What are the prerequisites for learning Big Data Hadoop training course?

There are no formal prerequisites for the Data Science course in Toronto. Anyone who wants to learn about the Data science Hadoop can pursue it. However, the basic knowledge about programming language can help to fasten the learning process.

What are Big Data Hadoop job opportunities in Toronto?

The online Job-Oriented Training at the GangBoard will ensure that candidates who have completed the Big Data Hadoop course in Toronto can land on a nice job with decent pay. Upon the completion, students can find the job of:

  • Hadoop Developer
  • Data analyst
  • Data engineer
  • Project analyst
  • Project manager

Big Data Hadoop Training in Toronto Syllabus

Gangboard's Big data and Hadoop Online Course Syllabus and Materials are prepared by 10+ Years experienced Trainers.

Apache Hadoop

  • Introduction to Big Data & Hadoop Fundamentals
  • Dimensions of Big data
  • Type of Data generation
  • Apache ecosystem & its projects
  • Hadoop distributors
  • HDFS core concepts
  • Modes of Hadoop employment
  • HDFS Flow architecture
  • HDFS MrV1 vs MrV2 architecture
  • Types of Data compression techniques
  • Rack topology
  • HDFS utility commands
  • Min h/w requirements for a cluster & property files changes

Mapreduce Framework

  • Introduction to Mapreduce
  • Mapreduce Design flow
  • Mapreduce Program (Job) execution
  • Types of Inputformats & Outputformats
  • Mapreduce Datatypes
  • Performance tuning of a Mapreduce jobs
  • Counters techniques

Apache Hive

  • Introduction to Hive & features
  • Hive architecture flow
  • Types of hive tables flow
  • DML/DDL commands explanation
  • Partitioning logic
  • Bucketing logic
  • Hive script execution in shell & HUE

Apache Hbase

  • Introduction to Hbase concepts
  • Introdcution to NoSQL/CAP theorem concepts
  • Hbase design/architecture flow
  • Hbase table commands
  • Hive + Hbase integration module/jars deployment
  • Hbase execution in shell/HUE

Apache Pig

  • Introduction to Pig concepts
  • Pig modes of execution/storage concepts
  • Pig program logics explanation
  • Pig basic commands
  • Pig script execution in shell/HUE

Apache Sqoop

  • Introduction to Sqoop concepts
  • Sqoop internal design/architecture
  • Sqoop Import statements concepts
  • Sqoop Export Statements concepts
  • Quest Data connectors flow
  • Incremental updating concepts
  • Creating a database in MySQL for importing to HDFS
  • Sqoop commands execution in shell/HUE

Apache HUE

  • Introduction to Hue design
  • Hue architecture flow/UI interface

Apache Zookeeper

  • Introduction to zookeeper concepts
  • Zookeeper principles & usage in Hadoop framework
  • Basics of Zookeeper

Apache Flume

  • Introduction to Flume & features
  • Flume topology & core concepts
  • Property file parameters logic

Administration concepts

  • Principles of Hadoop administration & its importance
  • Hadoop admin commands explanation
  • Balancer concepts
  • Rolling upgrade mechanism explanation

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
31 Jan 2020 28 Feb 2020 (08:30 PM - 11:00 PM) Fri,Sat
01 Feb 2020 29 Feb 2020 (08:30 AM - 11:00 AM) Sat,Sun
03 Feb 2020 02 Mar 2020 (08:30 PM - 10:00 PM) Mon-Fri
04 Feb 2020 03 Mar 2020 (10:00 AM - 11:30 AM) Tue-Sat
04 Feb 2020 03 Mar 2020 (08:30 AM - 10:00 AM) Tue-Sat
08 Feb 2020 07 Mar 2020 (08:30 AM - 11:00 AM) Sat,Sun
07 Feb 2020 06 Mar 2020 (08:30 PM - 11:00 PM) Fri,Sat

Big Data Hadoop Certification Training in Toronto Reviews


Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

You can reach us through +91-9707 250 260 / +1-917 410 5449. Or you can share your quires through Estimated turnaround time will be 24 hours for emails.

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