Course Summary
Magnific training is offering this 3 day extensive class on Hadoop platforms. We have a team of experienced instructors who have worked extensively in Hadoop & Cassandra platforms, and have deployed various clustering software packages internationally to fortune 500 clients.
This is a fast paced, vendor agnostic, technical overview of the Hadoop landscape. No prior knowledge of databases or programming is assumed. This course is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop.
Students will experience real Hadoop clusters and the latest Hadoop distributions. By default, we use Cloudera’s latest Hadoop distribution. However, based on demand, we can use also use Hortonworks, MapR, and Hadoop on Windows Azure.
Objectives
- Introduce students to the core concepts of Hadoop
- Deep dive into the critical architecture paths of HDFS, MapReduce and HBase
- Teach the basics of how to effectively write Pig and Hive scripts
- Explain how to choose the correct use cases for Hadoop
- Give each student access to an individual 1-node Hadoop cluster in Rackspace to run through some hands-on labs for the 5 software components: HDFS, MapReduce, Pig, Hive, HBase
- Provide links to the best books, blog posts and videos for students to learn more about Hadoop on their own.
Magnific training is offering this 3 day extensive class on Hadoop platforms. We have a team of experienced instructors who have worked extensively in Hadoop & Cassandra platforms, and have deployed various clustering software packages internationally to fortune 500 clients.
This is a fast paced, vendor agnostic, technical overview of the Hadoop landscape. No prior knowledge of databases or programming is assumed. This course is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop.
Students will experience real Hadoop clusters and the latest Hadoop distributions. By default, we use Cloudera’s latest Hadoop distribution. However, based on demand, we can use also use Hortonworks, MapR, and Hadoop on Windows Azure.
Ecosystem Components Covered
HDFS, MapReduce, Pig, Hive, Oozie, HBase
HDFS, MapReduce, Pig, Hive, Oozie, HBase
Objectives
- Introduce students to the core concepts of Hadoop
- Deep dive into the critical architecture paths of HDFS, MapReduce and HBase
- Teach the basics of how to effectively write Pig and Hive scripts
- Explain how to choose the correct use cases for Hadoop
- Give each student access to an individual 1-node Hadoop cluster in Rackspace to run through some hands-on labs for the 5 software components: HDFS, MapReduce, Pig, Hive, HBase
- Provide links to the best books, blog posts and videos for students to learn more about Hadoop on their own.
Trainer:
This course is taught by CrinLogic trainers. All our trainers are practitioners with multiple years of hands-on experience with the Apache Hadoop ecosystem. We believe the best training is delivered by those who impart their real world experiences, successes and failures to their students.
Prerequisites:
Students must bring their own laptop capable of running a 1GB virtual machine. The virtual machine is provided.
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or full course details please visit our website www.hadooponlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please
contact India +91-9052666559
Usa : +1-678-693-3475.
please mail us all queries to info@magnifictraining.com
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