Hadoop Administration

Differentiate capacity scheduler and Fair Scheduler

Fair Scheduler: A method in which jobs are assigned to each job getting an equal share of resources above time. The main advantage of this method is that all of the jobs, including short and long jobs, are given equal priority with short jobs completing faster.

Capacity Scheduler: A large cluster gets allowed and a capacity guarantee is given to each department. This lets the cluster get partitioned in many departments, each taking their own capacity and guarantee

What is Checkpointing and why is it important?

Checkpointing can be defined as a process in which a fs image and edit log files are taken and then attempts are made to shrink or compact them into a new fs image. This is important due to the fact that it leads to increased efficiency and reduction in the startup time related to the NameNode. Many-a-times, what happens is large edit logs lead to the jamming of the available disk capacity. So, it increases the NameNode startup time to a high extent. Usage of checkpointing helps in resolving this problem

Explain Namenode and Datanode

HDFS is known to follow the master/slave rule. The NameNode is contained by the HDFS cluster, acting as a master server. The duty of this server is to manage the namespace of the file system. The regulation of any access to the files by various clients is also one of its duties.

There is one DataNode per node in the cluster. Its duty is to handle the storage issues related to the nodes that they are in or that they are running in

Discuss on the Apache KAFKA Architecture

The architecture of Apache KAFKA is given as follows:

• The topic is termed as a flow of messages related to a single topic with the message termed as a burden of bytes.
• Someone who publishes messages related to a topic is termed as a publisher.
• The consumer can avail the subscription to any number of topics. The consumer can also track any of the published messages from the brokers by extracting data.
• Brokers are defined as the servers which store any of the published messages.
• This way, by using the serialization method, any method can be encoded by the producer

What are MapR features?

MapR features are given as under:

• They provide excellent recovery options and facilities. MapR snapshots store the snapshots of tables and files from time-to-time and this enables the recovery of data if it gets lost.
• It recovers every information and data tables in case of any disaster.
• Every cluster and data, interacting with it is encrypted, which provides wire-level security.
• It has direct access NFS, which enables NFS sharing capabilities and help in mounting it with some data source.
• I/O customized units, chunking, resync etc allows high-speed performance capabilities

What are the job titles available for Hadoop Administrator?

The job titles available for Hadoop Administrator are:

• Big Data Engineer
• Data Science tools and applications engineer
• Junior system administrator
• Technology support administrator
• IT Storage Administrator
• Senior System Administrator
• Hadoop System Administrator
• Data Management Analyst
• Database developer
• Business Service Administrator

What are the salary trends for Hadoop Administrator in the market?

The graph displayed below shows the salary trends for Hadoop Administrator in the market.

Thus, the salary taken by Hadoop professionals is $107,000 p.a. While salary taken by other professionals is less than $97000 p.a. So, we can infer that Hadoop, not only opens doors to many career options, it also provides a great in-hand salary for the professionals

What are the benefits of learning Hadoop?

The benefits of learning Hadoop are:

• The introduction of better career opportunities since the year 2015. The company looks forward to hiring those people who have prior experience in business intelligence, HBase, MongoDB and the like.
• The Big data market is rapidly growing. The growth is exponential, it has become a mandate to pace up with this market to meet better life-changing opportunities.
• The number of Hadoop jobs has also seen a rapid growth since the time Hadoop was introduced. So, the employment sector for Hadoop is also being good these days.
• Hadoop, by far, not only offers great career and employment opportunities, it also offers great salary packages. So, Hadoop certification also grants a great corporate life to the individuals.
• Many companies are demanding and hiring Hadoop and Big data professionals. These companies are very renowned and getting placed in them is indeed a great achievement

List the features of Hadoop

The features of Hadoop include:

• Bringing of flexibility in Data Processing. Unstructured data is actually meaningless data which have a hidden meaning in it. We need tools and technology to process this unstructured data and give it a structured form. For this, Hadoop has come out to be a great tool.
• Hadoop allows new nodes to be added and data volume to grow without altering any of the existing data. This means Hadoop has high scalability in it.
• In Hadoop’s HDFS, two copies of data get made in addition to the existing one. If a condition arises where the whole system collapses, the other two copies to make it possible to come back to the previous time and restore the whole data.
• Hadoop allows a lot faster processing of data. It does parallel processing and thus increases in speed is usually seen.
• Everything related to Hadoop and its ecosystem is robust in nature.
• Due to the parallel processing capabilities of Hadoop system, cost effectiveness is seen

Discuss the job responsibilities of Hadoop Administrator.

The job responsibilities of Hadoop Administrator are:

• To contour the flow of work/job
• Understanding what the Hadoop log files have to say and to handle them.
• Having every job fixed on the schedule and then do everything according to the schedule.
• Using Hive and Pig of any type of preprocessing.
• Not neglecting or overlooking data security at all and preserving them at every cost.
• There happens to be a vast amount of data on Hadoop. So, analyzing that data and take out meaningful observations from them.
• To develop and implement Hadoop
• To focus on speeding up the query mechanisms.
• To handle and use HBase.
• To research and dig out great practices

What are the Prerequisites for Hadoop Administrator Course?

• Basic Unix Commands
• Basic SQL Query Knowledge for Hive Queries
• Knowledge of an operating system like Linux is useful for the course
• Java is not strictly a prerequisite for working with Hadoop but knowledge of Core Java will help in learning MapReduce Programming easily

What are the system requirements to attend the live sessions?

1. Processor I3 with 4GB RAM, OS can be 32 or 64 bit (Laptop/Desktop)
2. Internet connection with Min 1 MBPS speed
3. Good quality headset
4. Power back up
5. You can also log in through your Android mobile phone/ Tablet with 4G internet connectivity

What if the trainee miss any session?

The trainee can watch the recorded video of all the sessions in the LMS or Trainee can attend the missed session in the upcoming batches.

What do the trainee get from the LMS?

The trainee will have the access to Recorded sessions, Assignments, Quizzes, CasStudieses, few course documents posted by trainers, Placement related docs etc.

What is the validity of the LMS access? What if the LMS access is expired

The trainee will get 1-year access to the LMS. You can contact our support team to extend the validity of the LMS.

Will the trainee get any project to work on Hadoop Administrator course?

Yes, Of course! The trainee will get the project at the end of the course, you need to submit a project. Our trainers will assist you to complete the project.

How are the practicals done?

The trainee will get step by step assistance on VM installation from our expert trainers during the practical sessions, post live sessions, you can practice at your end and submit your queries if any to our support team support@corpconsult.co for further assistance.

What are the types of training we offer?

1. WBLT- Web-based live Training
2. WBVT- Web-based Video Training
3. One on One live training
4. Self-paced training
5. In class training

What are the benefits of online training?

1. Flexible location
2. Flexible schedule
3. Travel free
4. Time saving
5. Cost saving
6. LMS access
7. You will never miss a class
8. Two-way interactive
9. Fast learning
10. Trainer support for 1 year

Who are our Trainers?

Our trainers are industry experts having 10 to 15 years of industry experience and 3-4 years of training experience. Most of the trainers are working professionals who teach the real time scenarios which will help the students to learn the courses in an effective manner.

Will the trainee get the certification post the course completion?

Yes, Trainee will get the participation certificate from Bumaco Global upon successfully completing the course.

What if the trainee has more queries and need assistance?

The trainee can drop an email to support@bumacoglobal.com an automatic ticket will get generated. Our support team works 24/7 to assist you with all your queries.