Get Best Big Data Hadoop training course in Kuwait at KVCH

Hadoop is an open source framework to work with huge amounts of data. it facilitates to manage, store and process big data. In the big organizations, there is a lot of structured and unstructured data and it enables to extract unstructured information. Today every enterprise is running on big datasets and they often face a problem for the management of these data. Hadoop helps to manage data on clusters of networks. It makes storage of data less expensive than the traditionally used methods.

Advantages of Hadoop

Flexibility: Hadoop manages unstructured large volumes of big data and extracts useful and valuable information. There are huge datasets like data of social media platforms like twitter, face book and also from emails, Hadoop derives value from these data and helps in the decision-making process.

Scalable: Hadoop facilitates the storage and distribution of large data sets on parallel servers that are very inexpensive Numbers of nodes can be easily added to process a large volume of data. 

Cost-effective: Earlier in the traditional method it was expensive to provide storage for big data and once valuable is extracted the can’t be used twice for other information.  Hadoop facilitates manage and process of large volumes of data into parallel running inexpensive servers. It is very cost effective as compared to the traditional methods for processing of unstructured data.  

Fast: the data stored on Hadoop is located on clusters which enable enterprises to locate valuable data very easily and get results. Due to parallel processing, it can process large volumes of data in few minutes.

Fault tolerant: It is one of the best advantages of Hadoop that in case data is saved in case of failure. It enables to replicate data on another node automatically so that in case of failure it can be found on another node.

 

 

Disadvantages of Hadoop: 

Security: Hadoop does not contain encryption at storage and network levels. It is a complex application to manage, and data can be at risk if it is handled by an inexperienced professional.

 

Not for small data: Hadoop is designed to handle big data files and it does not support to handle small data files efficiently. It will be able to perform and recommended for organizations with small data.

Stability Issues: Because Hadoop is an open source framework, it has some stability issues. Organizations are recommended to use the latest edition of the Hadoop.

KVCH is a premier training provider for Big Data Hadoop training course in Kuwait for candidates who want to make a career in this technology. KVCH is a renowned training house with more than 25 years of experience imparting training for various courses. We have a well-developed infrastructure with high tech labs so students can get real-time projects and practice sets.

 

Why KVCH?

Experienced trainers: we have well-experienced trainers to provide students with job-oriented training and prepare them for real-time professional scenarios.

Hands-on training: Our company renders job oriented hands-on training with real-time practice sets. Students experience the real scenario of working in an enterprise.

Online Training: KVCH provide online training to students all across the world. We cater to the needs of our candidates and customize schedules of classes according to them.

 

Course structure: well-structured course modules are provided to students to get detailed and in-depth knowledge of the training program.  

Well-acknowledge Certification: KVCH provides certificates to every student after completion of training program. These Certifications are well-recognized in the industry and help students to lead their way in the professional career.

Guaranteed placement: 100% placement is guaranteed after completion of training to all the candidates.

Author Bio:-

   

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