Course Content for Big Data Hadoop Administration at www.hadoopschooloftraining.com
Introduction to Big Data
• Characteristics of Big Data
• Why is parallel computing
important
• Discuss various products
developed by vendors
Introducing Hadoop
• Components of Hadoop
• Starting Hadoop
• Identify various processes
• Hands on
Working with HDFS
• Basic file commands
• Web Based User Interface
• Reading & Writing to
files
• Run a word count program
• View jobs in the Web UI
• Hands on
Installation & Configuration of Hadoop
• Types of installation (RPM’s
& Tar files)
• Set up ‘ssh’ for the Hadoop
cluster
• Tree structure
• XML, masters and slaves
files
• Checking system health
• Discuss block size and
replication factor
• Benchmarking the cluster
• Hands on
Advanced administration activities
• Adding and de-commissioning
nodes
• Purpose of secondary name
node
• Recovery from a failed name
node
• Managing quotas
• Enabling trash
• Hands on
Monitoring the Hadoop Cluster
• Hadoop infrastructure
monitoring
• Hadoop specific monitoring
• Install and configure Nagios
/ Ganglia
• Capture metrics
• Hands on
Other Components of the Hadoop ecosystem
• Discuss Hive, Sqoop, Pig,
HBase, Flume
• Use cases of each
• Use Hadoop streaming to
write code in Perl / Python
• Hands on
Trainer’s Profile: Trainer is Working
Consultant from IBM with 4+ years of Consulting and Training Experience. Hadoop
School of Training strictly follows the policy of employing working Hadoop
Professional as a Trainer and by this only we can maintain the quality of the
training.
Course Duration: 4 Weeks (Around 60 Hours)
of Class Room Training.
Course Fee: 20,000 INR.
Trainer’s Contact Details: Ph.
+91-9325793756
(Email: info@hadoopschooloftraining.co.in):
Mode of Training: This would be a class
Room Based Training.
Hadoop
Server Access: We required student to
come up with system or Laptop and we will install Hadoop Software on the same.
Books and Study Material:
Hadoop School of Training will provide all Study Material and Books for this
course in Soft Copy format.
Self-Practice Required:
If you are looking to get into Hadoop Developer roles so please dedicated
300-400 Hrs. of Self-study and Practice in order to get command on the system
and then only you can easily clear’s Hadoop Developer’s Interviews.
Background Need to get into this course:
This course suits to the people who are coming from Business Degree Background
(BE, MCA, MSc. etc.).
