Nikunj Thakkar Tech Guru

Nikunj is the CEO of DataOne Innovation Labs. His company provides architectural solutions for big data problems faced by enterprises. His main areas of focus are real-time data processing, machine learning, NLP, cloud computing and high availability architecture design. Nikunj holds a master’s degree in Information Technology from the Dhirubhai Ambani Institute of Information and Communication Technology.


Big Data: A State of the Union

Big Data. The keyword of the decade. Yet, it’s barely understood or often confused by so many. The idea behind Big Data is simple. Collect all the data you can (Volume), from multiple sources in any and all formats (Variety), as fast as you can (Velocity), and try to be sure the source provides useful, accurate and clean data (Veracity). The 4 V’s just mentioned, form the basis of Big Data.


Big Data and Blockchain

While Big Data is able to process data no matter its variety, velocity and volume, Blockchain brings transparency and simplicity to processes no matter the type of industry. Big Data's rise to prominence over the last decade and Blockchain's phenomenal popularity are breaking down the old structures of information and business transaction processing. Big Data and Blockchain are complementary. Indeed, the processing capacities of Big Data are able to handle the complexities and the continuous expansion of a Blockchain system and vice versa.


Big Data in the Energy Industry

Despite lightening up our world, the energy industry is facing big challenges. Our world is made up of gadgets and appliances that constantly need to be powered up with some form of energy, be it electricity, petrol, cooking oil, or anything else. So, the production of energy never stops, and the requirement of more energy is unlikely to go down as well.


Big Data in Banking

Throughout years, the banking industry has improved its service delivery thanks to technological innovation. Services are critical components in daily activities as most transactions are undertaken through the banking sector. The number of customers served in the banking sector has increased exponentially. Each transaction in the banking sector amounts to data creation and collection. The banking industry produces a large volume of data on a day to day activities. The adoption of big data analytics will revolutionise banking at present and in the future.


Opportunities and Impact: GST With Big Data

The Goods and Service Tax Network (GSTN) company is going to be handling 300 crore invoices each month from a total of 80 Lakh users. This represents a massive digitization at all levels of the Indian economy. As mid-sized companies raise their IT expenditure, the possibility of making major strides towards the mining of data for improving business decision-making can be accelerated to faster fruition. The Goods and Services Tax has been built upon a software infrastructure that is designed to drive users to be completely aware of their data. When a company wants to get relevant information from the GSTN, Big Data will play a vital role in the analysis and evaluation of the GST data trove.