Our Institute offers Online Hadoop Training with Hadoop certification training material, Learn Big Data Hadoop course by experts. Live Tutorial Videos, Apache Hadoop Job Support. Attend Demo for free & you will find Spiritsofts is the best Institute within reasonable fee.
Spiritsofts is the best Training Institutes to expand your skills and knowledge. We Provide the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.
The Training in is everything we explained based on real-time scenarios, it works which we do in companies.
Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.
Course Content
Hadoop Course Content
Administrator coaching for Apache Hadoop
Introduction to Big Data and Hadoop
Introduction to Big Data and Hadoop
- hat is Big Data?
- What area unit the challenges for process Big data?
- What technologies support Big data?
- Distributed systems
- What is Hadoop?
- Why Hadoop?
- History of Hadoop
- Use Cases of Hadoop
- Hadoop ecoSystem
- HDFS
- Map scale back
- Statistics
Understanding the Cluster
- Typical workflow
- Writing files to HDFS
- Reading files from HDFS
- Rack Awareness
- 5 daemons
Best Practices for Cluster Setup
- Best Practices
- How to decide on the proper Hadoop distribution
- How to decide on right hardware
Cluster Setup
- Install Pseudo cluster
- Install Multi-node cluster
- Configuration
- Setup cluster on Cloud – EC2
- Tools
- Security
- Benchmarking the cluster
Routine Admin procedures
- Metadata & knowledge Backups
- Filesystem check (fsck)
- File system Balancer
- Commissioning and decommissioning nodes
- Upgrading
- Using DFS Admin
Monitoring the Cluster
- Using the online user interfaces
- Hadoop Log files
- Setting the log levels
- Monitoring with Nagios
Install, Configure and use
- PIG
- HIVE
- HBASE
- Flume and Sqoop
- Zookeeper
Developer coaching for Apache Hadoop
Introduction to Big Data and Hadoop
Introduction to Big Data and Hadoop
- What is Big Data?
- What area unit the challenges for process Big data?
- What technologies support Big data?
- Distribution systems.
- What is Hadoop?
- Why Hadoop?
- History of Hadoop
- Use Cases of Hadoop
- Hadoop eco System
- HDFS
- Map scale back
- Statistics
Understanding the Cluster
- Typical workflow
- Writing files to HDFS
- Reading files from HDFS
- Rack Awareness
- 5 daemons
Developing the Map scale back Application
- Configuring development atmosphere – Eclipse
- Writing Unit check
- Running regionally
- Running on Cluster
- MapReduce workflows
How MapReduce Works
- Anatomy of a MapReduce job run
- Failures
- Job programming
- Shuffle and type
- Task Execution
MapReduce varieties and Formats
- MapReduce varieties
- Input Formats – Input splits & records, text input, binary input, multiple inputs & information input
- Output Formats – text Output, binary output, multiple outputs, lazy output and information output
MapReduce options
- Counters
- Sorting
- Joins – Map aspect and scale back aspect
- Side knowledge Distribution
- MapReduce Combiner
- MapReduce Partitioner
- MapReduce Distributed Cache
Hive and PIG
- Fundamentals
- When to Use PIG and HIVE
- Concepts
HBASE
- CAP Theorem
- HBase design and ideas
- Programming
For More Details: