Big Data Hadoop Certification Training

After completing this Hadoop Admin course, you will be able to: Understand the fundamentals and characteristics of Big Data and various scalability options available to help organizations manage Big Data Master the concepts of the Hadoop framework, including architecture, the Hadoop distributed file system and deployment of Hadoop clusters using core or vendor specific distributions Use Cloudera manager for setup, deployment, maintenance and monitoring of Hadoop clusters Understand Hadoop Administration activities and computational frameworks for processing Big Data Work with Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster Use cluster planning and tools for data ingestion into Hadoop clusters, and cluster monitoring activities Utilize Hadoop components within Hadoop ecosystem like Hive, HBase, Spark and Kafka Understand security implementation to secure data and clusters.

Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: Systems administrators and IT managers IT administrators and operators IT Systems Engineers Data Engineers and database administrators Data Analytics Administrators Cloud Systems Administrators Web Engineers Individuals who intend to design, deploy and maintain Hadoop clusters

Successful evaluation of one of the following two projects is part of the Hadoop Admin certification eligibility criteria: Project 1 Scalability: Deploying Multiple Clusters Your company wants to set up a new cluster and has procured new machines; however, setting up clusters on new machines will take time. Meanwhile, your company wants you to set up a new cluster on the same set of machines and start testing the new cluster’s working and applications. Project 2 Working with Clusters Demonstrate your understanding of the following tasks (give the steps): Enabling and disabling HA for namenode and resourcemanager in CDH Removing Hue service from your cluster, which has other services such as Hive, Hbase, HDFS, and YARN setup Adding a user and granting read access to your Cloudera cluster Changing replication and blocksize of your cluster Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others For additional practice we offer two more projects to help you start your Hadoop administrator journey: Project 3 Data Ingestion and Usage Ingesting data from external structured databases into HDFS, working on data on HDFS by loading it into a data warehouse package like Hive, and using HiveQL for querying, analyzing, and loading data in another set of tables for further usage. Your organization already has a large amount of data in an RDBMS and has now set up a Big Data practice. It is interested in moving data from the RDBMS into HDFS so that it can perform data analysis by using software packages such as Apache Hive. The organization would like to leverage the benefits of HDFS and features such as auto replication and fault tolerance that HDFS offers. Project 4 Securing Data and Cluster Protecting data stored in your Hadoop cluster by safeguarding it and backing it up. Your organization would like to safeguard its data on multiple Hadoop clusters. The aim is to prevent data loss from accidental deletes and to make critical data available to users/applications even if one or more of these clusters is down.

The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might just be the type of role that you have been trying to find to meet your career expectations.