Thiranz Tech Solution classes are Hadoop, Apache HBase, Apache Storm, Bigdata Hadoop course fees.
IDM TECHPARK classes are Hadoop, Apache Mahout, Apache Sqoop, Apache Spark 2.4 course fees.
penta software classes are Hadoop, Apache Mahout, Bigdata Hadoop, Hive course fees.
Address: No:26F, Second Floor, Opp Town EB Office Narasimmachari Street Dharmapuri TamilNadu-636701
EG Technologies offers IEEE 2015 and 2016 Final Year Projects for ECE, EEE, CSE and IT Students in EMBEDDED SYSTEM VLSI POWER ELCTRONICS,JAVA/J2EE DOTNET NS2, ANDROID APPS,MATLAB and APP PROJECTS. EG Technologies Project Centre classes are Hadoop, Apache Hadoop, Apache HBase course fees.
Address: Opp. Sumathi Hospital, No.312A, 1st East Main Road, Anna Nagar, Madurai, Tamil Nadu 625020
Tandam Certification Centre located in Tirunelveli is one of the leading computer training centre. Internationally Certified Courses. TANDAM classes are Hadoo course fees.
Training Trains classes are Hadoop, Hive, Apache Storm, Apache Mahout course fees.
Training Trains classes are Hadoop, Apache Pig, Apache Sqoop, Apache Storm course fees.
Technocentre-Kalvi Institute P Limited classes are Hadoop, Apache HBase, Apache Spark 2.4, Apache Sqoop course fees.
Reach Consultant Service classes are Hadoop, Apache Spark 2.4, Apache HBase, Hive course fees.
Address: 2nd FLOOR, ARB COMPLEX, SEMMANDALAM CUDDALORE TamilNadu-607001
ASCENSION PIONEERING SOLUTIONS classes are Hadoop, Apache HBase, Apache Spark 2.4 course fees.
Course content & topics of Hadoop Training in tamilnadu
Hadoop course content and key topics covered in tamilnadu may vary from one training institute to another training provider . However our Hadoop course training experts tamilnadu has identifed the list of topics which helps job oriented course training and most of the course content are focused on Hadoop placement training course training. The Hadoop course syllabus covers basic to advanced level course contents which is used by most of Hadoop training classes in tamilnadu.
1 Introduction to Hadoop administration
1.1 HDFS design
1.2 HA Name node
1.3 Map reduce design
1.4 HAdoop daemons
2 Hadoop design consideration
2.1 Distributions &
2.4 Hadoop in the cloud
4.2 Backup vs Disaster
4.4 Best practices
5.3 File System
5.4 Worker Node
6.1 Data Node
6.2 Task Tracker
6.3 Job Tracker
6.4 Name Node
7.1 Multi tenancy
7.2 Authentication &
7.5 Security step by step