Become a Big Data Administrator by learning concepts of Hadoop and implement advanced operations on Hadoop ClustersThis Hadoop Administration Training Course will provide you with all the skills in order to successful work as a Hadoop Administrator. This Hadoop admin certification Course includes fundamentals of Hadoop, Hadoop Clusters, HDFS, MapReduce and HBase. The training will make you proficient in working with Hadoop clusters and deploy that knowledge on real world projects.
Installation of Hadoop components and ecosystems – Hive, Sqoop, Pig, Scala and Spark
Introduction to Big Data & Hadoop and its Ecosystem, Map Reduce and HDFS – The importance of Big Data, how Hadoop fit into the framework, Hadoop Distributed File System – Replications, Block Size, Secondary Name node, High Availability. YARN – Resource Manager, Node Manager. Lab 1: Working with HDFS
How Mapreduce Works, How Reducer works, How Driver works, Combiners, Partitioners, Input Formats, Output Formats, Shuffle and Sort. Lab 2: Writing Word Count Program.
How to create a Hadoop cluster with 4 nodes, working with cluster and deploying a MapReduce job, how to write a MapReduce code and setting up the Cloudera Manager
Project 1 : Streaming Twitter Data using Flume
Topics:This project is associated with giving you hands-on experience in deploying Apache Flume for extracting Twitter streaming data and getting it into Hadoop for analysis. You will learn to handle high volumes data spikes, horizontal data scaling to accommodate increased data volumes and data delivery guarantee.
Project 2 : Hive & Impala comparison
Topics–Installation of CDH5 Apache Hive and Apache Impala, comparing the two tools for data querying, the advantages of Hive as a data warehouse for summarization and analysis, the advantage of Impala as a massively parallel processing and SQL like querying engine for high speed querying of data in HDFS.
Intellipaat is the pioneer of Hadoop training. In this Hadoop administration training you will master the concepts of managing, monitoring and troubleshooting large Hadoop clusters, deploying various components on the cluster like HDFS, MapReduce, HBase. You will also learn to add new users, authenticate the users and secure the cluster in a foolproof manner. This training course is fully aligned with clearing the Cloudera CCA Administrator Exam (CCA131).
Intellipaat offers lifetime access to videos, course materials, 24/7 Support, and course material upgrades to latest version at no extra fees. For Hadoop and Spark training you get the Intellipaat Proprietary Virtual Machine for Lifetime and free cloud access for 6 months for performing training exercises. Hence it is clearly a one-time investment. We are also exclusively partnered with IBM for providing you IBM Certified Hadoop Professional training as well.
This course is designed for clearing the Cloudera CCA Administrator Exam (CCA131). The entire Hadoop administration training course content is in line with this certification program and helps you clear it with ease and get the best jobs in the top MNCs. As part of this Hadoop admin training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.
At the end of this Hadoop administration training program there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.
Intellipaat Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
A senior software architect at NextGen Healthcare who has previously worked with IBM Corporation. Suresh has worked on Big Data, Data Science, advanced analytics, Internet of Things, Azure along with AI domains like Machine Learning and Deep Learning. He has successfully implemented high impact projects in major corporations around the world.
An experienced blockchain professional who has been bringing integrated blockchain particularly Hyperledger and Ethereum and big data solutions to the cloud. David has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marquee brands around the world.
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