online training in hadoop administration in hyderabad

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Hadoop Basic Administration (by, www.etraining.guru) Day #1 & 2 (a) Introduction to BIG Data (b) Challenges imposed by BIG Data (c) Introduction to Hadoop (d) Various daemons of Hadoop (e) Introduction to HDFS (f) Working of HDFS Day #3 & 4 (a) Introduction to MapReduce (b) Working of MapReduce (c) Formats in MapReduce (d) Combiners and Partitioners (e) Multinode Cluster Installation (Practical) Day #5 & 6 (a) Various Configuration Files (b) Basic HDFS Commands (Practical) Day #7 & 8 (a) Introduction to PIG (b) Working of PIG (c) Difference between PIG and MapReduce (d) PIG Programming (Practical) (e) Introduction to Cassandra (f) Concept of Columnar Databases (g) Concept of Keyspace, Column Family and Row Key (h) Introduction to CQL (Practical) Day #9 & 10 (a) Introduction to Hbase (b) Difference between Cassandra and HBase (c) Working of Hbase (Practical) (d) Introduction to Hive (e) Managed Table and External Table (f) Table Creation and Data Loading (Practical)

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Page 1: Online Training in Hadoop Administration in Hyderabad

Hadoop Basic Administration(by, www.etraining.guru)

Day #1 & 2

(a) Introduction to BIG Data

(b) Challenges imposed by BIG Data

(c) Introduction to Hadoop

(d) Various daemons of Hadoop

(e) Introduction to HDFS

(f) Working of HDFS

Day #3 & 4

(a) Introduction to MapReduce

(b) Working of MapReduce

(c) Formats in MapReduce

(d) Combiners and Partitioners

(e) Multinode Cluster Installation (Practical)

Day #5 & 6

(a) Various Configuration Files

(b) Basic HDFS Commands (Practical)

Day #7 & 8

(a) Introduction to PIG

(b) Working of PIG

(c) Difference between PIG and MapReduce

(d) PIG Programming (Practical)

(e) Introduction to Cassandra

(f) Concept of Columnar Databases

(g) Concept of Keyspace, Column Family and Row Key

(h) Introduction to CQL (Practical) 

Day #9 & 10

(a) Introduction to Hbase

(b) Difference between Cassandra and HBase

(c) Working of Hbase (Practical)

(d) Introduction to Hive

(e) Managed Table and External Table

(f) Table Creation and Data Loading (Practical)

Page 2: Online Training in Hadoop Administration in Hyderabad

Day #11 & 12(a) Introduction to ZooKeeper(b) ZNodes, Sequence No and Watches(c) Zookeeper operations(d) Introduction to Sqoop(e) Data Import using Sqoop

Day #13 & 14

(a) Introduction to Impala

(b) Working of cloudera Impala (Practical)

(c) Introduction to Oozie

(d) Workflow of Oozie

(e) Control Node and Action Node

Day #15 & 16

(a) Hadoop Cluster Benchmarking (Practical)

(b) File Integrity Check (Practical)

(c) Purpose of SecondaryNameNode

(d) Adding and decommissioning Nodes (Practical)

(e) Managing Quotas (Practical)

(f) NameNode High Availability

Day #17 & 18

(a) Hadoop Monitoring

(b) Installing and Configuring Nagios / Ganglia (Practical)

(c) Capturing Metrics

(d) Project and Quiz

Day #19 & 20

Case Study - Facebook / Rackspace