Big Data Analytics & Architecture in IoT Industry

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Tayyab Ashraf

Pakistan

: J Comput Eng Inf Technol

Abstract

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The Internet of Things (IoT) has opened up a new era of data collection, with millions of devices generating massive amounts of raw data every day. Handling this data is a big challenge for companies and organizations, but it is also a tremendous opportunity for those who can efficiently process and analyze it. In this context, architecture and scalability play a crucial role in developing analytics solutions that meet the needs of consumers. To handle big raw data from IoT devices, companies need a robust and highly scalable architecture that can cope with the vast volumes of data generated. This architecture must be capable of processing both structured and unstructured data, ensuring that data is secure and only accessed by authorized users. It must also support real-time data processing, enabling companies to make informed and timely decisions based on data insights. Scalability is another critical factor when handling big raw data from IoT devices. As the number of IoT devices continues to grow, organizations must design their architecture to handle this exponential increase in data volume. This can be achieved by leveraging cloud-based solutions that can scale up or down depending on demand, allowing companies to process and analyze big data effectively. Once the architecture and scalability are in place, the next step is to develop analytics solutions that provide valuable insights for consumers. This involves using advanced data processing techniques such as machine learning and artificial intelligence to identify patterns and trends in the data. These analytics solutions can help consumers make informed decisions and optimize their operations, leading to improved efficiency and productivity.

Biography

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Tayyab Ashraf he has a Microsoft-certified Professional data scientist having 7 years of extensive experience in marketing & e-commerce IoT industry. He has been working as Data Science public speaker with DS & AI communities, tech companies and institutes since 2018.
Below are the companies I am associated with as Data Science & AI Speaker:
1. Kaggle Days Speaker
2. City.ai (Netherland)
3. International Conference on Innovative Computing