CertAchiever

Hadoop Administration Certification Training

contact us: +918882136965

Instructor-led live online classes

Weekday Classes | Weekend Classes |

Hadoop Administration Certification Training

$310

Hadoop Administration Certification Training

Hadoop Administration Certification Training will guide you to gain expertise in maintaining complex Hadoop Clusters. You will learn exclusive Hadoop Admin activities like Planning of the Cluster, Installation, Cluster Configuration, Cluster Monitoring and Tuning. Furthermore, you will get to know about Cloudera Hadoop 2.0, and you will be mastering the security implementation and Hadoop v2 through industry-level cases studies.

Training Features

Instructor-led Sessions

Both Weekdays and Weekend batches are available.

Real-Life Case Studies

During the sessions you will be working on the case studies provided by the trainer.

Lifetime Access

You will get the life time access of training material including videos & study guides..

Assignments

Each class will be followed by practical assignments to practice the concepts covered in class

24 x 7 Expert Support

We have a lifetime 24x7 online support team to resolve all your technical queries,through a ticket based tracking system..

Certification

Towards the end of the course, you will be awarded with Training competition certification based on you performance.

Course Curriculum

Learning Objectives

Understand Big Data and analyse limitations of traditional solutions. You will learn about the Hadoop and its core components and you will get to know about the difference between Hadoop 1.0 and Hadoop 2.x.

Topics Covered

Introduction to big data, Introduction to big data, Common big data domain scenarios, Limitations of traditional solutions, What is Hadoop?, Hadoop 1.0 ecosystem and its Core Components, Hadoop 2.x ecosystem and its Core Components, Application submission in YARN

Learning Objectives

In this module, you will learn about Hadoop Distributed File System, Hadoop Configuration Files and Hadoop Cluster Architecture. You will also get to know the roles and responsibilities of a Hadoop administrator.

Topics Covered

Distributed File System, Distributed File System, Hadoop Cluster Architecture, Replication rules, Hadoop Cluster Modes, Rack awareness theory, Hadoop cluster administrator responsibilities, Understand working of HDFS, NTP server, Initial configuration required before installing Hadoop, Deploying Hadoop in a pseudo-distributed mode

Learning Objectives

Learn how to build a Hadoop multi-node cluster and understand the various properties of Namenode, Datanode and Secondary Namenode.

Topics Covered

OS Tuning for Hadoop Performance, OS Tuning for Hadoop Performance, Pre-requisite for installing Hadoop, Hadoop Configuration Files, Stale Configuration, RPC and HTTP Server Properties, Properties of Namenode, Datanode and Secondary Namenode, Log Files in Hadoop, Deploying a multi-node Hadoop cluster

Learning Objectives

In this module, you will learn how to add or remove nodes to your cluster in adhoc and recommended way. You will also understand day to day Cluster Administration tasks like balancing data in cluster, protecting data by enabling trash, attempting a manual failover, creating backup within or across clusters.

Topics Covered

Commisioning and Decommissioning of Node, Commisioning and Decommissioning of Node, HDFS Balancer, Namenode Federation in Hadoop, High Availabilty in Hadoop, .Trash Functionality, Checkpointing in Hadoop, Distcp, Disk balancer

Learning Objectives

Get to know about the various processing frameworks in Hadoop and understand the YARN job execution flow. You will also learn about various schedulers and MapReduce programming model in the context of Hadoop administrator and schedulers.

Topics Covered

Different Processing Frameworks, Different Processing Frameworks, Different phases in Mapreduce, Spark and its Features, Application Workflow in YARN, YARN Metrics, YARN Capacity Scheduler and Fair Scheduler, Service Level Authorization (SLA)

Learning Objectives

In this module, you will understand the insights about Cluster Planning and Managing, what are the aspects one needs to think about when planning a setup of a new cluster.

Topics Covered

Planning a Hadoop 2.x cluster, Planning a Hadoop 2.x cluster, Cluster sizing, Hardware, Network and Software considerations, Popular Hadoop distributions, Workload and usage patterns, Industry recommendations

Learning Objectives

Get to know about the Hadoop cluster monitoring and security concepts. You will also learn how to secure a Hadoop cluster with Kerberos.

Topics Covered

Monitoring Hadoop Clusters, Monitoring Hadoop Clusters, Hadoop Security System Concepts, Securing a Hadoop Cluster With Kerberos, Common Misconfigurations, Overview on Kerberos, Checking log files to understand Hadoop clusters for troubleshooting

Learning Objectives

In this module, you will learn about the Cloudera Hadoop 2.x and various features of it.

Topics Covered

Visualize Cloudera Manager, Visualize Cloudera Manager, Features of Cloudera Manager, Build Cloudera Hadoop cluster using CDH, Installation choices in Cloudera, Cloudera Manager Vocabulary, Cloudera terminologies, Different tabs in Cloudera Manager, What is HUE?, Hue Architecture, Hue Interface, Hue Features

Learning Objectives

Get to know the working and installation of Hadoop ecosystem components such as Pig and Hive.

Topics Covered

Explain Hive, Explain Hive, Hive Setup, Hive Configuration, Working with Hive, Setting Hive in local and remote metastore mode, Pig setup, Working with Pig

Learning Objectives

In this module, you will learn about the working and installation of HBase and Zookeeper.

Topics Covered

What is NoSQL Database, What is NoSQL Database, HBase data model, HBase Architecture, MemStore, WAL, BlockCache, HBase Hfile, Compactions, HBase Read and Write, HBase balancer and hbck, HBase setup, Working with HBase, Installing Zookeeper

Learning Objectives

In this module, you will get to know about Apache Oozie which is a server-based workflow scheduling system to manage Hadoop jobs.

Topics Covered

Oozie overview, Oozie overview, Oozie Features, Oozie workflow, coordinator and bundle, Start, End and Error Node, Action Node, Join and Fork, Decision Node, Oozie CLI, Install Oozie

Learning Objectives

Learn about the different data ingestion tools such as Sqoop and Flume.

Topics Covered

Types of Data Ingestion, Types of Data Ingestion, HDFS data loading commands, Purpose and features of Sqoop, Perform operations like, Sqoop Import, Export and Hive Import, Sqoop 2, Install Sqoop, Import data from RDBMS into HDFS, Flume features and architecture, Types of flow, Install Flume, Ingest Data From External Sources With Flume, Best Practices for Importing Data

FAQ's

You will never miss a lecture at CertAchiever! You can choose either of the two options:

View the recorded session of the class available in your LMS.

·You can attend the missed session, in any other live batch."

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

You can give us a CALL at +918882136965 (IN) OR email at admin@certachiever.com

Certification

Once your training will complete, you will be awarded with training completion certification from the Trainer.