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IT Department Conducts Cloud Platform-Based Big Data Analytics Sevices Webinar
ITThe Information Technology (IT) Department of UTAS-A organized a webinar titled "Cloud Platform-Based Big Data Analytics Service: Big Query" on 22nd February 2022 for all the IT staff members. The session was organized to promote awareness on Big Data Analytics and its swift usage over the Google Cloud Platform (GCP) (specifically Big Query and BI tools).
Dr. Lenin, Head of the Section (IT Department), opened the webinar and welcomed the speaker, Mr. Agha Urfi Mirza. Mr. Mirza explained to the participants specific valuable notes on Big Data Architecture, components, functionalities, and tools. He also added a practical session for implementing a use case of Big Data Analytics using Big Query in Google Cloud Platform (GCP). In addition, he encouraged the participants to open a free GCP account citing that Google provides $300 free usage that lasts up to 3 months. The speaker elaborated that learners/researchers can make use of GCP services such as Compute Engine, App Engine, Storage, Big Query, BI tools, etc. as per their requirements so as to maximize the cloud’s enormous computing power.
In the webinar, the speaker shared that Big Data is a combination of structured, semi-structured, and unstructured data collected by organizations that can be mined for the retrieval of valuable information and used in machine learning projects, predictive modeling, stock exchanges, social media sites, banking, big businesses, and other advanced analytics applications. He further pointed out that as the size of data is huge in the corporate world and cannot be stored/manipulated or handled by a traditional database system, Big Data does the job.
It was also clarified during the presentation that the Big Query is a GCP’s fully managed Peta-byte scale analytics data warehouse and that it is a no-ops i.e. there is no infrastructure needed to set up and manage before starting using Big Query.
This is for the reason that it is serverless and it is not required to instantiate a specific instance unlike many other services (viz. Cloud Storage, Cloud Spanner, Compute Engine, etc.).