Python Training in Pune: Upgrade Your Self with Python Course!!!

The Pune IT market, broadly speaking the IT world currently, gets upgraded with ever-renewing technologies every moment. Python is recognized as one of the most powerful of the languages that are essential for anyone to become an IT expert. It is a high-level programming language used for general programming purposes. The best part of this language is that it runs everywhere and its easy and open to learning. Unlike most other programming languages, one doesn’t have to have a very good programming hand. Even the beginners can take this up as their first ever coding language.

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Python Online Training Pune:

One might think it’s a different language, bit away from the normal conventional language and thus needed some really complex development environment or IDEs as they are called. However, this is not the case. One can use simple IDEs for Python like Eclipse, Komodo, etc. Even though Python is an easy to learn the language, there are several benefits associated with learning it. Having knowledge about a high-level knowledge like Python adds great value to one’s resume. Most of the top companies like Google, IBM, Nokia and many others are known to use python widely for their development activities. So taking up a Python course puts a candidate in the right direction towards the ascending ladder of their career.

If one doesn’t have much experience of coding and doesn’t have a good hands-on scripting experience but still wants to make a mark in the technical career that too in the IT sector, Python certification Pune is probably the place one needs to start at. Taking up a professional Python course is thus the best option to get to the depth of this language.

Learning objectives – In this module, you will learn about the: basic concepts of UNIX, LINUX, Java, HDFS, Big Data, Hadoop, Hadoop data loading techniques, Solving big data problems using Hadoop, MapReduce, Hadoop cluster and role of Hadoop cluster.

Topics: Introduction to UNIX, Introduction to LINUX, Introduction to Java, Introduction to HDFS, DWH Concepts, Pig & Hive, Map reduce.

Learning Objectives – In this module you will learn about Multiple Hadoop Server roles, Understanding Pseudo cluster, Installation of Hadoop, Understanding Map-Reduce, files configuration and parameters.

Hadoop Installation, Hadoop Configuration, Understanding pseudo-distributed mode, deploying multi-node cluster, Role of Hadoop server, Rack knowledge, Write and Read Anatomy, Data Processing.

Learning Objectives – In this module you will be Understanding Hadoop Cluster setup, concepts of managing and planning Hadoop cluster, Troubleshooting Hadoop cluster, Monitoring Hdoop cluster, Executing MapReduce Jobs.

Topics: Concepts of Hadoop Cluster, Scheduling jobs, Monitoring cluster, Cluster Size, Knowledge about Hardware and Software portions, Schedulers in Hadoop, Troubleshooting cluster, Schedulers Configuring and run Map Reduce.

Learning Objectives – This module will help you to understand Clustering basics, Clustering administration tasks like adding or deleting data nodes, Node recovery, Configuring in Hadoop, Backup in Hadoop, Recovery in Hadoop, Troubleshooting node failures and Upgrade Hadoop.

Topics: Maintaining Hadoop Backup, data nodes white list and blacklist in a cluster, quota’s setup, upgrading Hadoop cluster, DISTCP, Diagnostics, Recovery, Cluster Troubleshooting, Rack Configuration.

Learning Objectives – In this module our main focus is to understand Hadoop 2.0 New Features, HDFS, YARN, Hadoop 2.0 setup, MRv2, Secondary NameNode setup, NameNode check pointing.

Topics: Configuring Secondary NameNode, , Deploying Hadoop 2.0 in pseudo-distributed mode, Hadoop 2.0, YARN, MRv2, Hadoop 2.0 Cluster setupdeploying a multi-node Hadoop 2.0 cluster.

HQL and Hive with Analytics

Learning Objectives- After completing with the basics, In this module you will strengthen concepts about Hadoop security, Managing Hadoop security, HDFS High Availability, HDFS setup and Log Management and Quorum Journal Manager

Topics: Hadoop Platform Security, Configuring Kerberos, Auditing and Alerts, Configuring HDFS, Monitoring, Log Management and Service Monitoring.

Learning Objectives – This module will assist you in learning Oozie Workflow Scheduler, deploying HBase, Hive Administration, effectively load data, read and write from HBase.

Topics: No SQL, H base, Zookeeper, HBase Architecture, Sqoop, Flume, HBase setup, Oozie, Yarn and Hue.

Learning Objectives – In this module you will work on a real-world case and learn about implementing, planning, designing and deploying Hadoop cluster. You will also learn about Hadoop eco-system components.

Topics: Implementing, planning, designing and deploying Hadoop cluster, Hadoop ecosystem components, troubleshooting cluster problems, AWS cluster.

This module in the Big Data Hadoop Course helps the learners in understanding Hadoop 2.0 features like MRv2, YARN and HDFS Federation.

The topics covered are New Features of Hadoop 2.0, High Availability of NameNode.

This module helps the readers in understanding how different Hadoop ecosystem elements work together towards Hadoop implementation for solving Big Data issues.

INR  16000

35 Hours
Practical 40 Hours
15 Seats
Course Badge
Course Certificate

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