Why is it important?
- Error lenience - Hadoop protects data and application processing against hardware failure. If a node sinks, tasks are automatically rechanneled to other nodes to ensure the distributed computing does not fail. It stores multiple copies of all data automatically.
- Flexibility - Unlike conventional relational databases, You can store as much data as you want and choose how to use it later. That also includes unstructured data like videos, images, and text.
- Processes and stores vast amounts of data quickly - With data quantities and varieties continuously increasing, especially from social media and the internet.
- Computing power - The distributed computing model of Hadoop processes big data fast. You can have more processing power if you have more computing nodes.
- Costs cut - The open-source framework is free. It uses commodity hardware to amass large quantities of data.
- Scalability - You can easily grow your system to knob more data only by adding nodes. Modest administration is required.
According to Globe Newswire, the global Hadoop big data analytics market size is expected to grow from USD 12.8 billion in 2020 to USD 23.5 billion by 2025, at a Compound Annual Growth Rate of 13 per cent during the forecast period.
The Hadoop big data analytics market is expected to grow because of many factors such as the growing attention on technology innovation, remote monitoring in support of prevailing pandemic, increasing reliance on digital payments, and the entrepreneurial need of building the digital infrastructure for huge-scale deployment.
Businesses are increasingly making efforts to position technologies that assist them through the pandemic. Analytics professionals, Business intelligence professionals, and researchers have been called upon to help executives drive business decisions to respond to new challenges posed by the COVID-19 outbreak as it has affected all markets and consumer behaviours.
Candidates with a postgraduate degree can expect a starting package of around ₹ 4 – 8 lakh per annum.
However, freshers can undoubtedly earn between ₹ 2.5 – 3.8 LPA. Similarly, professionals can make between ₹ 5 – 10 LPA. Those in managerial roles can earn around ₹ 12 -18 lakh per annum or even more.
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