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Hadoop Administration course overview
Apache Hadoop is an advanced and powerful technology platform that streamlines and enables the multiple processors of huge datasets all over desktop and web service clusters. Hadoop is an excellent option for organizations that must cope with the issues of dealing with massive volumes of structured and unstructured data. The Hadoop framework can be used for data gathering and assisting users in making strategic decisions derived from data insights.
HKR trainings delivers the best industry-oriented Hadoop Administration training course that is in line to clear the certification exams. Our curated Hadoop Certification Training prepares you to operate and sustain a Hadoop Cluster, including planning, installation, and configuration through load balancing, security, and tuning. Our training will provide hands-on preparation for Hadoop Administrators' real-world challenges. Enroll today at HKR trainings for accepting the new challenges to make the best out of our Hadoop Administration online training.
Prerequisites
To apply for the Hadoop Administration Training, you need to either:
- To learn big data Analytics tools you need to know at least one programming language like Java, Python or R.
- You must also have basic knowledge on databases like SQL to retrieve and manipulate data.
- You need to have knowledge on basic statistics like progression, distribution, etc. and mathematical skills like linear algebra and calculus.
Hadoop Administration Course Content
The Hadoop Administration training curriculum is structured to streamline the learning process by a team of experts. You can find the complete course details in below-mentioned modules:
- Introduction to big data
- Limitations of existing solutions
- Common Big Data domain scenarios
- Hadoop Architecture
- Hadoop Components and Ecosystem
- Data loading & Reading from HDFS
- Replication Rules
- Rack Awareness theory
- Hadoop cluster Administrator: Roles and Responsibilities.
- Working of HDFS and its internals
- Hadoop Server roles and their usage
- Hadoop Installation and Initial configuration
- Different Modes of Hadoop Cluster.
- Deploying Hadoop in a Pseudo-distributed mode
- Deploying a Multi-node Hadoop cluster
- Installing Hadoop Clients
- Understanding the working of HDFS and resolving simulated problems.
- Hadoop 1 and its Core Components.
- Hadoop 2 and its Core Components.
- Properties of NameNode, DataNode and Secondary Namenode
- OS Tuning for Hadoop Performance
- Understanding Secondary Namenode
- Log Files in Hadoop
- Working with Hadoop distributed cluster
- Decommissioning or commissioning of nodes
- Different Processing Frameworks
- Understanding MapReduce
- Spark and its Features
- Application Workflow in YARN
- YARN Metrics
- YARN Capacity Scheduler and Fair Scheduler
- Understanding Schedulers and enabling them.
- Namenode Federation in Hadoop
- HDFS Balancer
- High Availability in Hadoop
- Enabling Trash Functionality
- Checkpointing in Hadoop
- DistCP and Disk Balancer.
- Key Admin commands like DFSADMIN
- Safe Mode
- Importing Check Point
- MetaSave command
- Data backup and recovery
- Backup vs Disaster recovery
- Namespace count quota or space quota
- Manual failover or metadata recovery.
- Planning a Hadoop 2.0 cluster
- Cluster sizing
- HardwareNetwork and Software considerations
- Popular Hadoop distributions
- Workload and usage patterns
- Industry recommendations.
- Monitoring Hadoop Clusters
- Authentication & Authorization
- Nagios and Ganglia
- Hadoop Security System Concepts
- Securing a Hadoop Cluster With Kerberos
- Common Misconfigurations
- Overview on Kerberos
- Checking log files to understand Hadoop clusters for troubleshooting.
- Configuring Hadoop 2 with high availability
- Upgrading to Hadoop 2
- Working with Sqoop
- Understanding Oozie
- Working with Hive.
- Working with Pig.
- Cloudera Manager and cluster setup
- Hive administration
- HBase architecture
- HBase setup
- Hadoop/Hive/Hbase performance optimization.
- Pig setup and working with a grunt.
- Summarize all the points discussed.
Hadoop Administration projects
Discover How To Automatic Scaling Up The Data Node
Description:Based on the cluster alerts, a new datanode must be added on the fly whenever it attains a limit.
How To Perform Tool Upgradation Of Hadoop Ecosystem
Description:Explore the installation and upgrade of Hadoop ecosystem tools from start to finish.
Corporate Training
Our Learners
Hadoop Administration online training Objectives
Upon successful completion of Hadoop Administration training at HKR trainings, you will learn the following things.
- Learn how to use Apache Hadoop software to create powerful Big Data analytics applications.
- Discover the Hadoop Distributed File System (HDFS) and its application in web-scale big data analytics.
- What is Hadoop cluster management, and how do you set up, manage, and monitor a Hadoop cluster?
- Understand the fundamentals of Apache Hive, including how to install Hive and run HiveQL queries to create tables.
- Discover more about Apache Sqoop and how to run scripts to transfer data between Hadoop and relational databases.
- Understand the fundamentals of Apache HBase and how to perform real-time read/write access to your Big Data.
The Hadoop Administration course benefits for the following list of professionals.
- Linux / Unix Administrators
- Database Administrators
- Windows Administrators
- Infrastructure Administrators
- System Administrators
- Who are aspiring to learn Hadoop Administration.
There seem to be no prerequisites for Hadoop Administration Training, but basic knowledge of the Linux command line interface is recommended. To ensure that you don't miss anything, HKR Trainings provides a complimentary self-paced course on "Linux Fundamentals" to all Hadoop Administration course participants.
To start with the Hadoop Administration course, you need to check with the best institute that delivers the knowledge. Before proceeding to join any training, take suggestions from the experts who had already learned the course. We at HKR trainings, with a team of industry experts, are ready to fulfil your dream career to achieve a job in desired companies.
Once you complete the entire course along with real-time projects and assignments, HKR delivers the course completion certification. This certification helps to get a job in any company very quickly.
Our trainers are highly qualified and certified with many years of industry experience and technology background in Hadoop Administration.
Certification differentiates you from the non-certified peers, and you can demand the best salary in the leading companies.
We, at HKR trainings, provide complete guidance to reach your dream job. But your job will be based on your performance in the interview panel and the recruiter requirements.
FAQ's
Each and every class is recorded so if you missed any class you can review the recordings and clarify any doubts with the trainer in next class.
Yes, we don’t assure 100% placement assistance. We are tied up with some corporate companies so when they have a requirement we send your profiles to them.
Yes, we provide demo before starting any training in which you can clear all your doubts before starting training.
Our trainers are real time experts who are presently working on particular platform on which they are providing training.
You can call our customer care 24/7
Max of the students get satisfied with our training, if you are not then we provide a specialised training in return.
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