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Big Data and Hadoop
Certification Training Course

Training Classroom and Live Online Courses

Bend, OR, United States

Key Features

  • 36 hours of Instructor-Led Training
  • 24 hours of High Quality E-learning
  • 60 hours of industry projects with 3.5 billion data points
  • Expert Assistant Premium Support
  • Earn Hadoop 2.7 experience certificate
  • Java Essentials for Hadoop Included

Big Data and Hadoop Training Course Overview in Bend, OR

when the demand is surging , Big Data and Hadoop Certified professionals can make the most. We have designed a course that will prepare you to take up challenging assignment and projects with greater complexities especially with data mining and analytics. Our course curriculum weighs equally on the theory and hands-on exercises to complement theory with actual practice; you will find our case studies and personal interaction lively and engaging with you as an active participant.
This course on Big Data Hadoop will enable you with the knowledge , particularly Hadoop 2.7 essential skills, This big data Hadoop course equips you with Hadoop 2.7 essential skills, and also expose to subjects like HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop.
Once you are done with this course successfully, you are all set and ready to set After completing this training you will be in a strong position to launch your career in Big data Hadoop.

Big Data and Hadoop Certification Training Schedule in Bend, OR


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E-LEARNING

USD : 499.00   299.00 Only few seats left at this price!


  • Big Data and Hadoop 90 Days E-Learning
  • Self paced online e-learning
  • Interactive audio-video lessons
  • Online Exam Simulator
  • ebook and study materials
  • Bonus: Free practice tests (Limited time)

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  • Customized learning delivery model (digital material and/or instructor-led)
  • Enterprise-grade Learning Management System (LMS)
  • Flexible pricing options
  • Dashboards for individuals and teams
  • 24x7 learner assistance and support
  • Dedicated account manager
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Big Data and Hadoop Certification Training Course Advisor in Bend, OR

Exam and Certification in Bend, OR

There are no pre-requisites for learning Hadoop. Though its preferable to be acquainted with the Core Java and SQL.
This course will greatly benefit the following IT groups, who are more in to the number space, and data domains, especially,
1. Developers and Architects
2. BI /ETL/DW professionals
3. Senior IT Professionals
4. Testing professionals
5. Mainframe professionals

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Big Data and Hadoop Training Course Agenda in Bend, OR

when the demand is surging , Big Data and Hadoop Certified professionals can make the most. We have designed a course that will prepare you to take up challenging assignment and projects with greater complexities especially with data mining and analytics. Our course curriculum weighs equally on the theory and hands-on exercises to complement theory with actual practice; you will find our case studies and personal interaction lively and engaging with you as an active participant.
This course on Big Data Hadoop will enable you with the knowledge , particularly Hadoop 2.7 essential skills, This big data Hadoop course equips you with Hadoop 2.7 essential skills, and also expose to subjects like HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop.
Once you are done with this course successfully, you are all set and ready to set After completing this training you will be in a strong position to launch your career in Big data Hadoop.

Course Agenda


-Introduction to Big Data & Hadoop, Hadoop Ecosystem, Map Reduce and HDFS
-Introduction to HDFS
-Hadoop Installation & setup
-Introduction to Map Reduce
-Deep Dive in Map Reduce
-Problem Solving using Map Reduce
-Graph Problem Solving
-Detailed understanding of Pig:
A. Introduction to Pig
B. Deploying Pig for data analysis
C. Pig for complex data processing
D. Performing multi-dataset operations
E. Extending Pig
F. Pig Jobs

-Detailed understanding of Hive
A. Hive Introduction
B. Hive for relational data analysis
C. Data management with Hive
D. Optimization of Hive
E. Extending Hive
F. Hands on Exercises – working with large data sets and extensive querying
G. UDF, query optimization

-Impala
A. Introduction to Impala
B. Choosing the Best (Hive, Pig, Impala)
C. Modeling and Managing Data with Impala and Hive
D. Data Partitioning

-(AVRO) Data Formats
-Introduction to Hbase architecture
-Apache Spark
A. Why Spark? Explain Spark and Hadoop Distributed File System
B. Spark Components, Common Spark Algorithms-Iterative Algorithms, Graph Analysis, Machine Learning
C. Running Spark on a Cluster, Writing Spark Applications using Python, Java, Scala

-Hadoop Cluster Setup and Running Map Reduce Jobs
-Major Project – Putting it all together and Connecting Dots
-ETL Connectivity with Hadoop Ecosystem
-Hadoop Cluster Configuration
-Hadoop Administration and Maintenance
-Hadoop Monitoring and Troubleshooting
-Job Scheduler: Map reduce job submission flow
-Hadoop Multi Node Cluster Setup and Running Map Reduce Jobs on Amazon Ec2
-ZOOKEEPER
-Advance Oozie
-Advance Flume
-Advance HUE
-Advance Impala
-Hadoop Stack Integration Testing
-Roles and Responsibilities of Hadoop Testing
-Framework called MR Unit for Testing of Map-Reduce Programs
-Unit Testing
-Test Execution of Hadoop _customized

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