BIG DATA IS BIG IN TRUE SENSE!
In the era of technology, everything is online and happens simultaneously. But that has got limitations as well and also requires a lot of space. So, consider:
- Cheap, abundant storage.
- Faster processors.
- Affordable open source, distributed big data platforms, such as Hadoop.
- Parallel processing, clustering, MPP, virtualization, large grid environment, high connectivity and high throughput.
- Cloud computing and other flexible resource allocation arrangements.
With the advent of technology and surplus demands ‘Big data’ has made it all possible.
What is Hadoop?
Hadoop is an open-source software framework used for distributed storage and processing of very large data sets. It consists of computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are a common occurrence and should be automatically handled by the framework.
According to the analytics school, data analytics are being paid a whopping Rs. 12.19 Lakhs per annum in Mumbai, followed by Bengaluru— Rs. 10.48 Lakhs and Delhi—NCR—Rs. 10.4 Lakhs. But the start-up city has the highest number of jobs for analysts and data scientists— 30,000.
Why is Hadoop important?
- Ability to store and process huge amounts of any kind of data, quickly. With data volumes and varieties constantly increasing, especially from social media and the Internet of Things (IoT), that's a key consideration.
- Computing power. Hadoop's distributed computing model processes big data fast. The more computing nodes you use, the more processing power you have.
- Fault tolerance. Data and application processing are protected against hardware failure. If a node goes down, jobs are automatically redirected to other nodes to make sure the distributed computing does not fail. Multiple copies of all data are stored automatically.
- Flexibility. Unlike traditional relational databases, you don’t have to process data before storing it. You can store as much data as you want and decide how to use it later. That includes unstructured data like text, images and videos.
- Low cost. The open-source framework is free and uses commodity hardware to store large quantities of data.
- Scalability. You can easily grow your system to handle more data simply by adding nodes. Little administration is required.
Hadoop in the new era of employment-
Jobs in big cities are not easy to catch hold of that's where BIGDATA comes into the picture talking statistically, Delhi offers around 23,000 jobs for analytics and Mumbai has only around 12,000 jobs for them. The demand and supply is equal in Bengaluru and demand is lesser in Mumbai when compared. Considering the new economic reforms laid down by the Modi government, the nation is still trying to recover from the shock, what is more important and of concern to us is the fact that our country has been pushed into an economic crisis; also not to ignore the fact of the elections of 45th US president. Within 20 hours the world economy has changed and is hitting people in all the possible ways emotionally, mentally and physically. That’s when BIGDATA comes into the picture which is a strong hold for people falling in the unemployment bracket big data tools like R, SAS, SPSS are keys. Big Data is the buzz word in this decade and Bengaluru comes second after Mumbai among highest paying cities for jobs in the area. Bengaluru pays Rs. 10.48 Lakhs per annum to analysts and data scientists. If not technically we know the economic benefits of Hadoop and other BIGDATA instruments!!!