IDM TECHPARK classes are Hadoop, Apache Mahout, Hive, Apache Sqoop course fees.
penta software classes are Hadoop, Hive, Apache Hadoop, Apache Spark 2.4 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 Spark 2.4, Apache Mahout, Apache Hadoop 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 Hadoop, Apache Hadoop course fees.
Training Trains classes are Hadoop, Apache HBase, Apache Sqoop, Apache Pig course fees.
Training Trains classes are Hadoop, Apache Spark 2.4, Bigdata Hadoop, Apache Mahout course fees.
Technocentre-Kalvi Institute P Limited classes are Hadoop, Hive, Apache Mahout, Apache Pig course fees.
Reach Consultant Service classes are Hadoop, Apache Mahout, Apache HBase, Hadoop Admin course fees.
Address: 2nd FLOOR, ARB COMPLEX, SEMMANDALAM CUDDALORE TamilNadu-607001
ASCENSION PIONEERING SOLUTIONS classes are Hadoop, Hive, Apache HBase course fees.
Learnage Academy classes are Hadoop, Apache Spark 2.4, Bigdata Hadoop, Apache Mahout 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