You must have shopped online at least once. Just going through the entire process in your mind. You land on the homepage, key in your query, check out the descriptions, images, and rates of the majority of related items listed against your query, and finally place your order if you feel satisfied. You would enter various criteria to arrive at the product that optimally matches your needs and budget. In midst of all these, if something else catches your fancy, you may start exploring the same.

Consider the volume of unstructured data that is generated in your single visit to the site. Also, you may have visited social or ancillary sites to mirror your needs or communicate with portal management if the stocks have been depleted on the site. All data chunks contain insights about your shopping behaviour, your peculiar ways of looking for information, and potential avenues through which you vent your emotions.

What is Big Data?

Big data is the collective name for the entire array of data points generated in the aforesaid exercise of yours and literally millions of such exercises carried out every day at mundane or online level. If the inherent information pattern in this data can be tracked and deciphered strategically, an organization can get laser targeted access to temperamental idiosyncrasies of prospects.

Why Hadoop?

Hadoop is a platform that allows you to store, manage, mine and analyze these extraordinarily large data sets. Consider the predicament of an organization which knows it can capture the attention of prospects by aligning their sentiments with offerings that measure up to expectations but lacks the tools and the platform to organize and analyse the data.

Hadoop is a blessing in disguise for such organizations. Being open source, it is free and commodity hardware readily available with your organization can be leveraged for storing and manipulating data. Whenever you need to handle additional data, you can simply add a workstation node to increase computing power. Hadoop has exceptional fault tolerance mechanism. You can simply weed out the flawed node and recommission the entire chain. Flexibility, scalability, and unbelievable computing prowess; all render Hadoop ideal for organizational data mining needs.

How Hadoop Has an Edge Over Other Analytical Tools?

A number of analytical tools are available in the market for organizational data analysis needs. Tools like Lumify, Apache Storm, HPCC System Big Data, Apache Samoa, MongoDB, ElasticSearch, Talend Open Studio, R, and RapidMiner are present. But, Hadoop is the first choice of all mainstream and successful companies like Amazon Web Services, Cloudera, Hortonworks, Intel, IBM, Mapr technologies, Microsoft etc.

Do You Know Why?

☛ Hadoop offers storage and processing support for a mountainous volume of data of all kinds. This is critical since IoT (Internet of Things) and social media are generating increasingly large data quantities progressively.

☛ Distributed computing model allows for processing of big data at lightning fast speed. Processing power increases with the addition of computing nodes.

☛ Hardware failures don’t take a toll on processing power since tasks are spontaneously assigned to any of the available nodes if a node suffers a breakdown. Fault tolerance is boosted by saving of multiple versions of same data.

☛ Data does not require pre-processing before storage. The decision of storing and using data lies with you. Videos, images, and other unstructured data can be easily stored.

☛ Recurrent license renewal fees are not associated with this free framework.

☛ Readily affordable commodity hardware is used for storing data.

·☛ Superb scalability quotient which allows you to handle limitless data just through the addition of more nodes.

☛ Intensive and round the clock node administration is not required.

 

why big data Hadoop

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Edupristine’s Big Data Hadoop Course

EduPristine Big Data Hadoop course has been developed by seasoned experts who are considered authorities in this domain.

Stellar features of our course:

. Coverage of contemporary and core Hadoop components like Map-reduce, HBASE, PIG, HIVE, SQOOP, Oozie with Hue

· Complementary sessions on Java Essentials for Hadoop, Python, and Unix

· Nurturing of skills for Cloudera (CCA-175) exams

· Pro Training – 15 days Classroom (75 hours) + 4 days Online Training (12 Hours) (Java, Unix & Python)

· Availability of 2 data sets for conducting live project work

· Topic Wise study material in the form of Presentation and Case Studies

· PowerPoint Presentation covering all classes

· Code files for each case study

· Recorded Videos of Live Instructor imparted training

· Recorded videos covering all classes

· Quiz and assignments with detailed answers and explanation

· Job Oriented Questions to prepare for Certification Exams

· Doubt solving forum to interact with faculty and fellow students

· 24×7 Online Access to Course Materials

Are you Eligible for the Course?

Yes, your passion to excel in this most sought-after course globally is the key requirement. You just need a graduation certificate from any discipline under your belt.

Start now and steal the march over your contemporaries. Glassdoor survey has indicated that Data Scientist and Analyst jobs are highest paid and most sought after globally. EduPristine prepares you comprehensively to efficiently and strategically discharge your role as a Data Scientist for demonstrating highest standards of professional excellence.

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