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Big Data Hadoop Training
Live Online & Classroom Enterprise Training
Master the vital components of the Hadoop ecosystem including Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Oozie and Flume with SpringPeople’s Big Data Hadoop Training. This course is best suited for professionals seeking to develop and deploy Hadoop applications for their organization
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What is Hadoop Training about?
What are the objectives of Hadoop Training ?
Who is Hadoop Training for?
What are the prerequisites for Hadoop Training?
Available Training Modes
Live Online Training
18 HoursClassroom Training
3 DaysCourse Outline Expand All
Expand All
- Which data is called as BigData
- What are business use cases for BigData
- BigData requirement for traditional Data warehousing and BI space
- BigData solutions
- The amount of data processing in today's life
- What Hadoop is why it is important
- Hadoop comparison with traditional systems
- Hadoop history
- Hadoop main components and architecture
- HDFS overview and design
- HDFS architecture
- HDFS file storage
- Component failures and recoveries
- Block placement
- Balancing the Hadoop cluster
- Different Hadoop deployment types
- Hadoop distribution options
- Hadoop competitors
- Hadoop installation procedure
- Distributed cluster architecture
- Lab: Hadoop Installation
- Ways of accessing data in HDFS
- Common HDFS operations and commands
- Different HDFS commands
- Internals of a file read in HDFS
- Data copying with 'distcp'
- Lab: Working with HDFS
- Hadoop configuration overview and important configuration file
- Configuration parameters and values
- HDFS parameters
- MapReduce parameters
- Hadoop environment setup
- 'Include' and 'Exclude' configuration files
- Lab: MapReduce Performance Tuning
- Namenode/Datanode directory structures and files
- Filesystem image and Edit log
- The Checkpoint Procedure
- Namenode failure and recovery procedure
- Safe Mode
- Metadata and Data backup
- Potential problems and solutions / What to look for
- Adding and removing nodes
- Lab: MapReduce Filesystem Recovery
- How to schedule Hadoop Jobs on the same cluster
- Default Hadoop FIFO Schedule
- Fair Scheduler and its configuration
- What MapReduce is and why it is popular
- The Big Picture of the MapReduce
- MapReduce process and terminology
- MapReduce components failures and recoveries
- Working with MapReduce
- Lab: Working with MapReduce
- Java MapReduce implementation
- Map() and Reduce() methods
- Java MapReduce calling code
- Lab: Programming Word Count
- Default Input and Output formats
- Sequence File structure
- Sequence File Input and Output formats
- Sequence File access via Java API and HDS
- MapFile
- Lab: Input Format
- Lab: Format Conversion
- Joining Data Sets in MapReduce Jobs
- How to write a Map-Side Join
- How to write a Reduce-Side Join
- MapReduce Counters
- Built-in and user-defined counters
- Retrieving MapReduce counters
- Lab: Map-Side Join
- Lab: Reduce-Side Join
- Hive as a data warehouse infrastructure
- Hbase as the Hadoop Database
- Using Pig as a scripting language for Hadoop
- How different organizations use Hadoop cluster in their infrastructure
Who is the instructor for this training?
The trainer for this Big Data Hadoop Training has extensive experience in this domain, including years of experience training & mentoring professionals.
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My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!
Shweta Priya
Sony
I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.
Swati Singh
GE
I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.
Nikhil Kohli
Stryker
I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!
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Mindtree
