The Complete Big Data Hadoop Training
Reference & Education → Education
- Author Danish Khan
- Published January 28, 2019
- Word count 756
Nowadays as technology is advancing there is an increase in the amount of data that is being generated every minute. Earlier data was being generated from limited resources and was being easily managed and processed using traditional means, but with the advancement in the sources that are generating data, traditional means are also unable to manage them. Big Data is nothing but the collection of the large dataset that is unable to get processed using traditional means. Big data, as the name suggest, is really very huge and is mainly categorized in 3V’s:
• Volume: This refers to a collection of data from different sources. These high volumes of data can be generated from organizations, social media, etc.
• Velocity: This refers to the speed at which the data is being generated. For example, social networking sites like Facebook, Instagram that generates data such as the number of likes, comments, tags, etc. in a limited time frame
• Variety: This refers to the formats of the data like, Structured, Semi-structured, Unstructured.
These data types are of 3 main categories:
• Structured: This consists of data that are numeric in nature
• Semi-structured: This involves XML data
• Unstructured: This is the most disruptive kind of data. Any data in PDF, Word Doc., Media Log, etc come under unstructured data.
Processing this big data becomes really very important for the companies. After being processed it provides useful insights that help in the decision-making activity. Let us now discuss the benefits of processing Big Data:
• Processing Big Data helps the companies to predict any future risk and create a contingency plan accordingly.
• Storing and processing the previous data can provide the companies with valuable insight and accordingly strategize the next step.
• Many times analyzing big data provides a competitive advantage.
• Processing Big Data helps in analyzing the root cause of failure.
• Big data helps in saving millions of dollars.
• Customer engagement and loyalty can be improved.
Now one may think about the sources from where this big data is being generated:
• Healthcare Sector
• Banking
• Digital Media
• Marketing
• Education Field
• Law Making
• Science
• Smart Cities
• Stock Exchange Data
• Transport Data
Above mentioned were just a few of the sources. Now, lets us understand about the software that can store, handle and process this big data. Hadoop is an open source framework provided by Apache and written in Java Language. Created by Doug Cutting in the year 2005, Hadoop framework helps in maintaining and processing the big data from across cluster of hardware system using simple MapReduce programming model. Hadoop was officially released on 10th of December, 2011 and since then it has been benefitting the companies by scaling up from one server to thousands of machines.
Before Hadoop, it was Google that provided the solution to tackle Big Data. It used algorithms known as MapReduce to divide the tasks into small parts and assigns it to different computers. In the end, it collects all the results from each of them and integrates them to give detailed datasets. Keeping in mind the same solution, Hadoop was developed. It uses the same MapReduce algorithm for processing the data in parallel with others. This way a huge amount of data are statistically analyzed and processed.
Hadoop follows MapReduce and consists of two major architecture layers:
• MapReduce handles large scale processing of dataset.
• HDFS (Hadoop Distributed File System)stores data in various machines offering a high rate of networking among the cluster of hardware systems.
Apart from the above mentioned two major layers, the architecture of Hadoop also has 2 more components:
• Hadoop Common consists of libraries required by other Hadoop Modules.
• Hadoop Yarn is a resource-management platform that manages the computing resources in a cluster of hardware.
With the advent of Hadoop framework, companies are able to overcome many challenges that were faced during traditional means of processing:
• Storage
• Searching
• Capturing data
• Curation of data
• Sharing the data
• Presentation
• Transfer
• Analysis
Today big data is not limited to any one sector. From the stock market to social media to science, everywhere millions of data is being generated every minute. Learning Hadoop becomes a necessity for the employees. KVCH is one such training provider offering Best Online Training in Big Data Hadoop. Here the candidates will get the training from the expert trainers and will get the opportunity to understand the domain in a much better way by working on real-time industry projects. Apart from domain based training, candidates will also be provided with personality development classes. In the end, they will be given a globally recognized certificate and assured 100% placement assistance.
Danish Khan is an online media enthusiast and a blogger who closely follows the latest Career Guidance and Job trends In India and online marketing trends. He writes about various related topics such as Career Topics, Job Search and much more. View all posts by Danish Khan
Article source: https://articlebiz.comRate article
Article comments
There are no posted comments.
Related articles
- The Impact of Hermeneutical Injustice on ASN Students Involved in Transitions from Early Years Education
- IT TAKES A VILLAGE
- Closing the Digital Gap: Overcoming Accessibility Barriers for Students with Disabilities in Benin City
- Expert Quran Teacher for Kids and Adults
- Why is the study of history is critical?
- First Aid Courses and CPR Training - Safety Learning
- A META-ANALYSIS ON THE IMPACT OF CRAMMING AS LEARNING STRATEGIES AMONG SHS STUDENTS IN GHANA
- Revolutionize Your School's Online Presence with a Cutting-Edge CMS Website Development
- How to Find Emotive Language in a Text: A Comprehensive Guide
- Addressing the Rise of Academic Pressure
- Standard Thickness of Asphalt Pavement
- The Importance of Character Education from an Early Age
- Education, Evolution & AI - Mixing Technology and Learning in the 21st Century
- Obtain Full G Driver’s License in Ontario
- Top Tips for Writing High-Scoring University Assignments Insights from Assignment Experts
- Parents Guide to Finding the Best Bay Area Tutoring for Your Child
- The Ultimate Guide to Choosing the Top Driving School in Manhattan
- Gearing Up: Automatic vs. Manual Driving Lessons
- Unified Field Theory Is Explainable
- Project Management in the Digital Age: Leveraging Technology for Success
- Progressing through the Lean Six Sigma Belt Levels: A Journey from White to Black
- A part of Crisis at school: School violence
- Unlocking Success: Why Phonological Awareness Matters for Kids and How to Support It
- Unlocking the Power of Assessment: Strategies for Effective Evaluation
- Unlocking Intellectual Potential: Edinburgh, UK Manuscript Illustrations
- Viruses, structures, causes and prevention
- the importance of stars
- Love and Limits: How to set limits while preserving loving relationships with students
- Unveiling the Potential: A Comprehensive Exploration of "Crushing It With Crypto 2024: UNLOCKED"
- The Evolution of Artificial Intelligence: Past, Present, and Future