• What is Hadoop?
• Why Hadoop?
• Core Components of Hadoop
• Intro to HDFS and its Architecture
• Difference b/w Code Locality and Data Locality HDFS commands
• Name Node’s Safe Mode Different Modes of Hadoop Intro to MapReduce Versions of HADOOP
• What is Daemon? Hadoop Daemons? What is the Name Node? What is a Data Node?
• What is Secondary name Node? What is Job Tracker?
• What is Task Tracker?
• What is Edge computer in Hadoop Cluster and Its role Read/Write operations in HDFS
• Complete Overview of Hadoop1.x and Its architecture Rack awareness
• Introduction to the Block size
• Introduction to Replication Factor(R.F)

• What is the Mapper phase?
• What is the shuffle and sort phase? What is Reducer phase?
• What is split?
• Difference between Block and split

Gaining Expertise

You definitely need a professional training course to earn adequate knowledge to become Hadoop professional and to fluently work with Hadoop systems.

Choice

While you can find multiple training institutes listed above, you can enjoy the convenience of choosing the best trainer suiting your needs and requirements.

Flexibility

Given that every Hadoop training course is accompanied with facilities to customize in accordance with the requests from the trainee in terms of syllabus, course duration and training modes.

Certification

At the end of the Hadoop training course, you can get certified by the respective training institute for successful completion. You can showcase this training certification in your resume to convince the recruiters on your attendance to Hadoop professional training. In addition to that, you can also avail excellent assistance to attend the expert-level certifications from providers like Cloudera, Hortonworks and MapR, etc.

Employment Opportunities

Being a professional training course provider, the institute you’re enrolling here is probably facilitated with dedicated placement assistance team and tie-ups with top companies’ recruitment department to help you get employed as a Hadoop professional.

As the world is moving towards a cloud platform, the evolution and demand for Hadoop have arisen. In a similar context, learning Hadoop is made easier than ever before. Depending on your need and comfort, you can opt for an either in-class or online or virtual training platform.

Online Training:

If you’d like to use flexible timing and place to learn Hadoop, you can go for online training course where you’d be provided with every learning materials and course guidance resources right at your computer. 

In-Class Training:

If you’re a person of classroom training type and expect on-the-spot answers to your doubts and practical exposure and explanations from the trainer, you should go with in-class training from the training provider who’s located nearby.

Virtual Training:

This advanced type of training is perfect for someone who’s looking for in-class training features at their computer screen.

Hadoop is a distributed data processing platform not just for big data. Following are the highlights of Hadoop that any organizations should make use of.

(i) Easier Data Processing, Management, and Analysis – With the help of Hadoop, the data stored in the warehouse can be structured, processed and transformed to enable easier data management, processing and analysis.

(ii) Data Archiving – Business data can be archived for years with the help of Hadoop. The data can be stored in multiple versions such as raw, native and modified data. Thanks to the inexpensive commodity hardware used by Hadoop.

(iii) Easier access to any data – Once the data is stored using the Hadoop system, the access to such data stored is made much easier and effective.[learn_more caption=”

Fact #1 – The data used by corporate companies across the world is growing at a rate of 27% every year. This rapid phase is expected to further increase.

Fact #2 – In most countries, corporate companies should maintain business data for at least 7 years in order to comply with the rules.

Fact #3 – Almost every business around the world is desperate to process and analyze their organizational data timely and cost-effectively.

Fact #4 – Apache Hadoop is an open-source (free) and revolutionary distributed data processing system that uses commodity storage hardware to store and process the data. The competing distributed data processing systems are either expensive or less efficient.

Thus, we can conclude that the demand for Hadoop is going to be constant and so the demand for Hadoop professionals be. To prove the above statement, several leading organizations and global businesses like DELL, AWS (Amazon Web Services), MAPR, Horton works, IBM are using Hadoop system in their organize and manage the data effectively.

Before registering for a course, you need to choose the respective Certification providers. MapR and Hortonworks are the most valued certification providers. Following steps would help you to register for their certification exams.

To register for the Certification exam,

(i) Choose the type of certification listed at the page and complete the registration procedure to receive instructions through email.

(ii) Log in to your email which you’ve used in above registration. You would be asked to create an account on the Examslocal website. Follow the account creation link in the mail and use the same email Id to register for a new account in Examslocal.