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Top 5 Features Of Hadoop Ecosystem Every Big Data Career Enthusiast Should Know
The present 21st century is being termed as the age of Big Data. The digitalization of the world has made data to become an integral part of our day to day life & now we are living in a data centric world. Whatever activity you do over the internet it becomes a source of information. Likewise every business generates data & enterprises can be benefited a lot if they manage this data in the right way. This is where Hadoop comes into the play. It helps the organizations in handling enormous levels of Big Data to perfection.
Let’s have a look at the top five features of Hadoop ecosystem
Very High Processing Speed: Hadoop showcases very high data processing speed. With this feature, the troubles arising in the processing of large sets of data can simply be overcome.
Very High Computing Power: This is one among such features that made Hadoop as the most promising data management functionality. Hadoop has a networking system of distributed computing models that help in delivering a faster processing of big data. Higher the number of computing nodes you use higher will be its processing power.
Scalability: Having a higher level of scalability is another best performing feature of Hadoop. It can easily scale up from small relative sets of data levels to relatively enormous sets of data levels.
Higher Degree Of Flexibility: This states that the functioning features of Hadoop are highly flexible. Hadoop can easily handle any formats of data which includes the structured and unstructured formats, large volumes of data in the form of videos, images and text formats.
Low-Cost Functioning: This is the primary reason why Hadoop has gained such a high prominence in comparison to the other data management tools. It is an open-source framework stating the ease of availability and accessibility.
Most Popular Job Roles Available For Big Data Certified Aspirants:
- Hadoop Developer
- Hadoop Architect
- Hadoop Tester
- Hadoop Administrator
- Data Scientist
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