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HADOOP ADMIN
- Individuals who Learn Hadoop Administrator certification course got skills to demonstrate core systems and cluster administrator skills sought by companies and organizations deploying Hadoop products in the enterprise.Will cover in details the below topics
- Installation
Configuration
Troubleshooting
High Availability
Security
12769 Satisfied Learners
HADOOP ADMIN TRAINING IN PUNE | ONLINE
Duration of Training : 40 hrs
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Hadoop Admin Training & Certification in Pune
Highly Experienced Certified Trainer with 10+ yrs Exp. in Industry
Realtime Projects, Scenarios & Assignments
Why Radical Technologies
100% Placement Guarantee for the Right Candidate
10+ Years Real Time Experienced Trainers
Learn from Industry Experts, Hands-on labs
Flexible Options: online, instructor-led, self-paced
14+ Years of Industry Recognitions
1 Lakh+ Students Trained
50,000+ Students Placed
Guaranteed 5+ Interview Calls
Top MNCs - Associated with 800+ Recruiters
Free Internship Project & Certification
Monthly Job Fair - Virtual as well as Physica
5000+ Reviews & Ratings
Specialty :
- 16 to 32 nodes Hadoop Cluster Building Setup on High End Enterprise Cisco UCS Blade Servers Or On AWS Cloud. We build real cluster setup from the scratch
- Real Time Hadoop Trainer
- Complete hands own training
- 100% Practical Guaranteed
COURSE CONTENT :
1. Understanding Big Data and Hadoop
Introduction to big data, limitations of existing solutions
Hadoop architecture, Hadoop components and ecosystem
Data loading & reading from HDFS
Replication rules, rack awareness theory
Hadoop cluster administrator
Roles and responsibilities
2. Hadoop Architecture and Cluster setup
Hadoop server roles and their usage
Hadoop installation and initial configuration
Deploying Hadoop in a pseudo-distributed mode
Deploying a multi-node Hadoop cluster
Installing Hadoop Clients
Understanding working of HDFS and resolving simulated problems.
3. Hadoop cluster Administration & Understanding MapReduce
Understanding secondary name node
Working with Hadoop distributed cluster
Decommissioning or commissioning of nodes
Understanding MapReduce
Understanding schedulers and enabling them.
4. Backup, Recovery and Maintenance
Common admin commands like Balancer
Trash, Import Check Point
Distcp, data backup and recovery
Enabling trash, namespace count quota or space quota, manual failover or metadata recovery.
5. Hadoop Cluster : Planning and Management
Planning the Hadoop cluster
Cluster sizing, hardware
Network and software considerations
Popular Hadoop distributions, workload and usage patterns.
6. Hadoop 2.0 and it’s features
Limitations of Hadoop 1.x
Features of Hadoop 2.0
YARN framework, MRv2
Hadoop high availability and federation
Yarn ecosystem and Hadoop 2.0 Cluster setup.
7. Setting up Hadoop 2.X with High Availability and upgrading Hadoop
Configuring Hadoop 2 with high availability
Upgrading to Hadoop 2
Working with Sqoop
Understanding Oozie
Working with Hive
Working with Hbase.
8. Understanding Cloudera manager and cluster setup, Overview on Kerberos
Hive administration, HBase architecture
HBase setup, Hadoop/Hive/Hbase performance optimization
Cloudera manager and cluster setup
Pig setup and working with grunt
Why Kerberos and how it helps.
For whom Hadoop is?
IT folks who want to change their profile in a most demanding technology which is in demand by almost all clients in all domains because of below mentioned reasons-
- Hadoop is open source (Cost saving / Cheaper)
- Hadoop solves Big Data problem which is very difficult or impossible to solve using highly paid tools in market
- It can process Distributed data and no need to store entire data in centralized storage as it is there with other tools.
- Now a days there is job cut in market in so many existing tools and technologies because clients are moving towards a cheaper and efficient solution in market named HADOOP
- There will be almost 4.4 million jobs in market on Hadoop by next year.
Student Stories and Reviews :
FAQs :
The Hadoop Admin Course is designed to equip individuals with the necessary skills and knowledge to effectively manage and administer Hadoop clusters and big data infrastructure.
The course is ideal for IT professionals, system administrators, database administrators, and anyone looking to pursue a career in big data administration.
Basic knowledge of Linux, networking, and database concepts is recommended but not mandatory. Our course covers fundamental concepts to ensure all participants can grasp the material effectively.
Yes, we offer both in-class and online training options for the Hadoop Admin Course to cater to the diverse needs of our students.
The course covers a wide range of topics including Hadoop architecture, HDFS (Hadoop Distributed File System), MapReduce, YARN, Hadoop cluster setup and configuration, monitoring, security, and troubleshooting.
The duration of the course varies depending on the mode of training and the depth of coverage. Typically, our Hadoop Admin Course spans over several weeks with flexible scheduling options.
Yes, participants are required to pass a certification exam to obtain the Hadoop Administrator Certification, validating their proficiency in Hadoop administration.
Certification exams are conducted regularly throughout the year to accommodate the diverse schedules of our students.
Graduates of our Hadoop Admin Course can pursue various career paths including Hadoop Administrator, Big Data Engineer, Data Analyst, and more, with opportunities in diverse industries such as finance, healthcare, e-commerce, and technology.
Yes, we offer extensive job assistance to our graduates, including resume building, interview preparation, and connecting them with our network of hiring partners.
Absolutely! Our course features hands-on labs and real-world projects to provide participants with practical experience in setting up and managing Hadoop clusters.
Yes, participants have access to course materials, recordings, and resources even after completing the training, ensuring continuous learning and reference.
We strive for student satisfaction, but if you’re not fully satisfied with the course, please refer to our refund policy for details.
We offer flexible payment options and installment plans to accommodate the financial needs of our students. Contact our admissions team for more information.
Yes, we offer customized Hadoop Admin Corporate Training programs tailored to the specific requirements of organizations. Our corporate training solutions are designed to enhance the skills of entire teams.
We differentiate ourselves through our comprehensive curriculum, hands-on learning approach, industry-recognized certification, extensive job assistance, and commitment to student success.
Yes, we organize networking events, seminars, and guest lectures where students can interact with industry experts, alumni, and potential employers.
Yes, participants have the opportunity to retake the certification exam if needed. Additional fees may apply, so please check our policies for details.
Absolutely! We provide ongoing support to our alumni through our alumni network, discussion forums, and periodic updates on industry trends and advancements.
You can enroll in the course by contacting our admissions team via phone, email, or by visiting our institute. Our friendly staff will guide you through the enrollment process and answer any questions you may have.
Most Probable Interview Questions for Hadoop Admin
Interview Question No. 1 for Hadoop Admin : Can you explain the role of a Hadoop Administrator?
Interview Question No. 2 for Hadoop Admin : What motivated you to pursue a career in Hadoop administration?
Interview Question No. 3 for Hadoop Admin : What do you consider the most challenging aspect of managing Hadoop clusters?
Interview Question No. 4 for Hadoop Admin : How do you ensure the security of data stored in a Hadoop cluster?
Interview Question No. 5 for Hadoop Admin : Describe your experience with setting up and configuring Hadoop clusters
Interview Question No. 6 for Hadoop Admin : What monitoring tools and techniques do you use to ensure the health and performance of Hadoop clusters?
Interview Question No. 7 for Hadoop Admin : Can you discuss a scenario where you had to troubleshoot a Hadoop cluster issue? How did you resolve it?
Interview Question No. 8 for Hadoop Admin : How do you handle data backup and recovery in a Hadoop environment?
Interview Question No. 9 for Hadoop Admin : What strategies do you employ to optimize the performance of Hadoop jobs?
Interview Question No. 10 for Hadoop Admin : Can you walk us through the process of adding nodes to an existing Hadoop cluster?
Interview Question No. 11 for Hadoop Admin : How do you ensure high availability and fault tolerance in a Hadoop cluster?
Interview Question No. 12 for Hadoop Admin : What are the key components of Hadoop’s security infrastructure?
Interview Question No. 13 for Hadoop Admin : Can you explain the concept of data locality in Hadoop? How does it impact cluster performance?
Interview Question No. 14 for Hadoop Admin : Describe your experience with Hadoop ecosystem tools such as Hive, Pig, and HBase
Interview Question No. 15 for Hadoop Admin : How do you manage resource allocation and scheduling in a multi-tenant Hadoop environment?
Interview Question No. 16 for Hadoop Admin : Can you discuss your experience with implementing data governance policies in a Hadoop cluster?
Interview Question No. 17 for Hadoop Admin : What are the different authentication mechanisms supported by Hadoop? Which one do you prefer and why?
Interview Question No. 18 for Hadoop Admin : How do you handle software upgrades and patch management in a Hadoop cluster?
Interview Question No. 19 for Hadoop Admin : Can you discuss your experience with integrating Hadoop with other enterprise systems?
Interview Question No. 20 for Hadoop Admin : How do you stay updated with the latest developments and best practices in Hadoop administration?OpenStack dashboard or CLI
Interview Question No. 11 for RedHat Openstack Admin
How do you manage and allocate IP addresses in OpenStack? IP addresses are managed through Neutron, which allows for both static and dynamic IP allocation using DHCP
Interview Question No. 12 for RedHat Openstack Admin
What are security groups, and how do they work in OpenStack? Security groups are sets of IP filter rules that define network access to instances They act as virtual firewalls, controlling inbound and outbound traffic
Interview Question No. 13 for RedHat Openstack Admin
Can you explain the difference between block storage and object storage in OpenStack? Block storage (Cinder) provides persistent storage that can be attached to instances like a physical disk, while object storage (Swift) stores and retrieves unstructured data via a RESTful API
Interview Question No. 14 for RedHat Openstack Admin
How do you perform a backup and restore operation in an OpenStack environment? Backup and restore operations involve creating snapshots of instances and volumes, and restoring them by launching new instances or attaching the snapshots to existing instances
Interview Question No. 15 for RedHat Openstack Admin
What is the significance of the Horizon dashboard in OpenStack? Horizon is the web-based dashboard for OpenStack, providing a user-friendly interface for managing resources and services
Interview Question No. 16 for RedHat Openstack Admin
Describe a scenario where you would use Heat templates Heat templates are used to deploy complex applications and infrastructure as code, such as setting up a multi-tier web application with auto-scaling and load balancing
Interview Question No. 17 for RedHat Openstack Admin
How do you ensure high availability in an OpenStack environment? High availability is achieved through redundant configurations, clustering of services, and using technologies like HAProxy and Pacemaker
Interview Question No. 18 for RedHat Openstack Admin
What are some common challenges you might face when deploying OpenStack, and how do you address them? Common challenges include hardware compatibility, network configuration issues, and resource allocation Addressing them involves thorough planning, using validated hardware, and leveraging OpenStack’s extensive documentation and community support
Interview Question No. 19 for RedHat Openstack Admin
Can you explain the role of the Cinder service in OpenStack? Cinder provides block storage services, allowing users to create and manage volumes that can be attached to instances for persistent data storage
Interview Question No. 20 for RedHat Openstack Admin
What steps would you take to upgrade an OpenStack environment? Upgrading OpenStack involves planning the upgrade path, backing up data, testing the upgrade in a staging environment, and performing a rolling upgrade to minimize downtime
Learn Hadoop Admin – Course in Pune with Training, Certification & Guaranteed Job Placement Assistance!
Welcome to Radical Technologies, the premier institute for Hadoop Admin training, certification, and job assistance in Pune. With a reputation for excellence, we are committed to empowering professionals with the knowledge and skills needed to thrive in the dynamic world of big data administration.
Our Hadoop Admin Course is meticulously designed to equip individuals with comprehensive expertise in Hadoop administration, catering to the growing demand for skilled professionals in managing big data infrastructure. Whether you are a novice looking to embark on a career in big data administration or a seasoned professional seeking to enhance your skill set, our course offers a structured learning path tailored to meet your specific needs.
At Radical Technologies, we understand the importance of practical hands-on experience. That’s why our Hadoop Admin Training goes beyond theoretical concepts, providing real-world scenarios and hands-on labs to ensure a deeper understanding of Hadoop ecosystem components, cluster management, configuration, monitoring, and troubleshooting.
Upon successful completion of our Hadoop Admin Course, participants receive a prestigious Hadoop Administrator Certification, validating their expertise and enhancing their professional credibility in the industry. Our certification is recognized by leading organizations worldwide, opening doors to lucrative career opportunities in big data administration.
What sets us apart is our commitment to not just imparting knowledge but also providing extensive job assistance to our graduates. Our vast network of industry connections and dedicated placement cell ensures that our students have access to a plethora of job opportunities with top-tier companies.
Whether you prefer classroom learning or the flexibility of online training, we’ve got you covered. Our Hadoop Admin Course is available both in-class and online, allowing you to choose the mode of learning that best fits your schedule and learning style.
Curious about what our course covers? Our Hadoop Admin Course Content is meticulously crafted by industry experts, covering everything from Hadoop fundamentals to advanced topics like security, scalability, and high availability. With a focus on practical application, our course content is designed to align with the latest industry trends and best practices.
In addition to individual training, we also offer customized Hadoop Admin Corporate Training programs tailored to the unique needs of organizations. Our corporate training solutions empower teams with the knowledge and skills needed to harness the power of big data effectively.
Ready to take the next step in your career? Enroll in our Hadoop Admin Course today and embark on a journey towards becoming a certified Big Data Hadoop Administrator. Join the ranks of successful professionals who have chosen Radical Technologies as their trusted partner in career advancement and professional development.
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DataQubez University creates meaningful big data & Data Science certifications that are recognized in the industry as a confident measure of qualified, capable big data experts. How do we accomplish that mission? DataQubez certifications are exclusively hands on, performance-based exams that require you to complete a set of tasks. Demonstrate your expertise with the most sought-after technical skills. Big data success requires professionals who can prove their mastery with the tools and techniques of the Hadoop stack. However, experts predict a major shortage of advanced analytics skills over the next few years. At DataQubez, we’re drawing on our industry leadership and early corpus of real-world experience to address the big data & Data Science talent gap.
How To Become Certified Big Data – Hadoop Administrator
Certification Code – DQCP – 503
Certification Description – DataQubez Certified Professional Big Data – Hadoop Administrator
Exam Objectives
Configuration & Installation :-
Define and deploy a rack topology script, Change the configuration of a service using Apache Hadoop, Configure the Capacity Scheduler, Create a home directory for a user and configure permissions, Configure the include and exclude DataNode files
Troubleshooting :-
Demonstrate ability to find the root cause of a problem, optimize inefficient execution, and resolve resource contention scenarios, Resolve errors/warnings in Hadoop Cluster, Resolve performance problems/errors in cluster operation, Determine reason for application failure, Configure the Fair Scheduler to resolve application delays, Restart an Cluster service, View an application’s log file, Configure and manage alerts, Troubleshoot a failed job
High Availability :-
Configure NameNode, Configure ResourceManager, Copy data between two clusters, Create a snapshot of an HDFS directory, Recover a snapshot, Configure HiveServer2
Manage :-
Maintain and modify the cluster to support day-to- day operations in the enterprise, Rebalance the cluster, Set up alerting for excessive disk fill, Define and install a rack topology script, Install new type of I/O compression library in cluster, Revise YARN resource assignment based on user feedback, Commission/decommission a node
Secure :-
Enable relevant services and configure the cluster to meet goals defined by security policy; demonstrate knowledge of basic security practices, Configure HDFS ACLs, Install and configure Sentry, Configure Hue user authorization and authentication, Enable/configure log and query redaction, Create encrypted zones in HDFS
Test :-
Benchmark the cluster operational metrics, test system configuration for operation and efficiency, Execute file system commands via HTTPFS, Efficiently copy data within a cluster/between clusters, Create/restore a snapshot of an HDFS directory, Get/set ACLs for a file or directory structure, Benchmark the cluster (I/O, CPU, network)
Data Ingestion – with Sqoop & Flume :-
Import data from a table in a relational database into HDFS, Import the results of a query from a relational database into HDFS, Import a table from a relational database into a new or existing Hive table, Insert or update data from HDFS into a table in a relational database, Given a Flume configuration file, start a Flume agent, Given a configured sink and source, configure a Flume memory channel with a specified capacity
For Exam Registration of Big Data – Hadoop Administrator , Click here:
Trainer is having 17 year experience in IT with 10 years in data warehousing &ETL experience. It has been six years now that he has been working extensively in BigData ecosystem toolsets for few of the banking-retail-manufacturing clients. He is a certified HDP-Spark Developer and Cloudera certified Hbase specialist. He also have done corporate sessions and seminars both in India and abroad.
All faculties at our organization are currently working on the technologies in reputed organization. The curriculum that is imparted is not just some theory or talk with some PPTs. We absolutely frame the forum in such a way so that at the end the lessons are imparted in easy language and the contents are well absorbed by the candidates. The sessions are backed by hands-on assignment. Also that the faculties are industry experience so during the course he does showcase his practical stories.
We have been in the training industry for so many years. We know the pain points a student may face in gathering the knowledge. So also we know how to address and satisfy the various eager mindsets of such students. We have gained 5 star rating because of our constant effort to ensure that right trainer is assigned and feedback used to deliver and procure the best. We have had the privilege to train thousands of senior IT professionals both in-House and also at the corporate.
- Training By 14+ Years experienced Real Time Trainer
- A pool of 200+ real time Practical Sessions on Bigdata Hadoop
- Scenarios and Assignments to make sure you compete with current Industry standards
- World class training methods
- Training until the candidate get placed
- Certification and Placement Support until you get certified and placed
- All training in reasonable cost
- 10000+ Satisfied candidates
- 5000+ Placement Records
- Corporate and Online Training in reasonable Cost
- Complete End-to-End Project with Each Course
- World Class Lab Facility which facilitates I3 /I5 /I7 Servers and Cisco UCS Servers
- Covers Topics other than from Books which is required for the IT Industry
- Resume And Interview preparation with 100% Hands-on Practical sessions
- Doubt clearing sessions any time after the course
- Happy to help you any time after the course
Hbase
SCALA
SPARK – ML and GraphX
ADVANCE HADOOP concepts
Data Analytics / Science
