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Big Data is one of the biggest technological revolutions that has made data assessment and analysis more precise and accurate.

The minimum degree you need to have to become a Data Analyst for most of the entry-level Data Analyst positions is a Bachelor's degree. The eligible streams are Economics, Finance, Mathematics, Statistics, Information Management, and Computer Science. Well, let's go step by step to try and understand a few basics to have a clearer vision of the path. Big Data Hadoop training and big data certification course will give you an insight into the industry.

The role of big data in IoT is to process a large amount of data on a real-time basis and storing them using different storage technologies. In the big data system which is basically a shared distributed database, the huge amount of data is stored in big data files.

Business leaders make crucial business decisions daily. These decisions have a direct role in their and their employees' lives. Luckily, data analytics and visualization help them make better data-driven decisions. Professionals are now busy searching for the best data science certifications to understand how data science can help them grow in their careers.

He said a major differentiator is that Big Data is the raw input that needs to be cleaned, structured and integrated before it becomes useful, while artificial intelligence is the output, the intelligence that results from the processed data. That makes the two inherently different.

Hadoop being an open-source framework makes it easy and economical for organizations to set up and manage clusters when compared to licensed alternatives. Hadoop is the much-loved distributed computing technology with smaller enterprises looking to leverage analytics to draw valuable big data insights.