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BigData, Hadoop

In the present times, with the advancement of technology, it wouldn’t be probably wrong to equate data with real money. A tremendous amount of data is being generated daily as the millennials are connected to the internet and are browsing or using some applications all the time. With that being said, a new term was coined – Big Data. To put in this way, big data is simply larger, more complex data especially generated from the new data sources.

The problem with these datasets is that these are so voluminous that traditional data processing software is unable to manage the same. But what is important to know is that until and unless data is analyzed, there is no use of collecting such a huge amount of data. The truthfulness and reliability of data play another major role.

For instance, let’s take an example of any big tech company. A large amount of services and value they offer comes from their data- that is they are constantly analyzing the data to make the product and services more effective for you. More importantly, it’s the insightful analysis and the entire discovery process that helps companies make informed decisions and assumptions and predict the correct behavior.

BigData, Hadoop Course, BigData, Hadoop Certification Training Institute In Bangalore

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Technically defining Big Data was or rather is based on principles of 3 V(s). These are:

i) Volume ii) Velocity iii) Variety.

Volume is a large amount of unstructured data that is being generated. Some examples include data from Youtube feed, tweets from your Twitter account or data from Netflix subscription. Velocity is the rate at which data is incoming and perhaps acted on.

Variety refers to the type of incoming data. Most of the incoming data is rather unstructured as opposed to the neatly arranged data that we were used to. Therefore, these used to fit in a relational database but this not the case with the big data. Semi-structured data types like audio, video or text may require more processing to extract meaningful content from the same.

Testimonials

Good training

Good training in Machine learning and IoT. They helped us in creating different projects like a smart car, stock predictions, etc.

Karthik Nair

Great opportunity

It was a great opportunity for me to participate in an internship conducted in DLithe . I have learned many concepts and methods which I can use to improve my skills.

Swetha

Good experience

It was a good experience and learned many things from the session. The trainer was very humble and helped in clearing all the doubts which we had.

Jenisha Coehlo

Supportive Team

The process is pragmatic and their team collaborates well to make sure requirements are understood.

Geethanjali BM

Experienced trainer

Overall a great experience. The trainer was good and was able to clarify our doubts. Special thanks to Arun sir and Sridhar sir for their constant support and guidance.

Rajeshwari Priyadarshini

Good Place for Learners

dlithe is a very good place to learn. They provide very good internship programs.

Kaveesh Shetty

Helpul Trainers

Explained the topics well and the hands-on workshop conducted on the 8051 microcontrollers helped us code on our own.

Dhanayashree Dinesh

Good Company

It’s a very good Company to learn and implement our skills.

Aishwarya K

Best Training Centre

They provide the best training on Machine Learning and IoT. They got really good trainers.

Manoj Mangaladevi

Best Performer of Internship-2021

“Learnt about how to use web archetypes, downloading dependencies, got to know dependencies are gathered in pom.xml file. And I learnt about Jasper tool, Postman API.”

Kavyashree

Best Performer of Internship-2020

“I have learnt many interesting things about this subject(ML) and it has made me even more curious to learn this subject in detail. This internship has helped me alot in improving myself.”

Hafsa Batula,Navodya Institute

Best Performer of Internship-2020

“Got a clear understanding about basic steps involved in machine learning ,some machine learning algorithms and also how chatbots are deployed.”

Samit D Manvar, NMAMIT NITTE

Best Performer of Internship-2020

“I had a very good experience. Topics were good and helpful to improve my knowledge.”

Malvina Dsouza, NMAMIT NITTE

Best Performer of Internship-2020

“It was indeed a beautiful experience. Learnt how to simulate in Tinker Cad platform. Did so many projects which has enhanced my knowledge in field of Internet of Things.”

Drushti Shetty, NMAMIT NITTE

Best Performer of Internship-2020

“I started my coding skills with this internship, the sessions, experiments, and projects were of application level unlike the regular classes. The final project of home automation was just not a simple project rather we used it in various real life applications.”

Darshan A B, NMAMIT NITTE

Best Performer of Internship-2020

“Internship helped to explore IOT, to solve real world problems using IOT. To interface sensors and actuators. Learning to use Tinkercad and Fritzzing simulation tools was really helpful. In total, it was a great experience with Dlithe.”

Abhijnan Prakash, NMAMIT NITTE

Best BigData, Hadoop Training in Bangalore

As of now, it is very clear we cannot use traditional databases to analyze Big Data. Here’s when comes the importance of Hadoop. Hadoop is an open-source software developed and managed by Apache that manages data processing and storage for Big Data Application in scalable clusters of the computer server. Therefore it is the ecosystem of Big Data Technology. It can handle both structured and unstructured data, therefore it is more flexible for analyzing data rather than traditional databases.

Hadoop’s flexibity, low cost, and scalability along with computational power make it one of the best software for analyzing big data. However, some of its drawbacks include Data Security, a non-friendly user environment and a widely acknowledged talent gap.

Some surveys report Big Data guys are paid roughly the same as with the Machine Learning team with the average salary being $1,17,000 which is further expected to increase with the rise in demand. Data will never go down the drain and with more and more people connecting to the internet, companies will always need upcoming engineers to correctly analyze them, therefore they will never compromise in this aspect.

This makes Big Data one of the top technologies to keep track of in the current decade.

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September 7, 2022

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