Getting Started With BigQuery: Basics, Use Cases & its Applications


14 November, 2017 08:30 PM IST


Beginner Level


CTO, Data Analysts, Web Analysts, Developers, Business Analysts

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About This Webinar

Data-driven industries and markets are witnessing various cloud-based services that help rapid scaling of computing and storage resources even though, it does not completely eliminate the issue of managing data warehouses.Google BigQuery is a cloud-based, Big Data Analytics web service that nimbly processes extensive data sets of sizes up to petabytes. It is one of the most efficient, fast, economical and fully managed solutions for a large-scale data.

This webinar aims to provide the BigQuery product walkthrough right from the basics. Our core focus will be on the use cases and applications that help to gain additional customer insights from the data integrated within BigQuery.

BigQuery is equipped with the ability to crunch TBs of data in seconds while ensuring scalability and speed. It also enables us to perform advanced statistical analysis by providing unsampled raw hit level analytics data.

Key Takeaway Points

In this 45 minutes interactive session will take you through the following:

Brief Introduction to BigQuery
Basic Architecture and User Interface
Possible Integrations with BigQuery
Features and Use Cases
Quick Hands-on Exercise


Join 2 of the Tatvic’s BigQuery Experts Sarjak and Pankaj for a walkthrough of the basics of BigQuery, use cases and applications that help to gain additional customer insights from the data integrated within BigQuery.



Sarjak Patel

Sarjak is a certified Google Analytics consultant at Tatvic. He comes with a rich experience of working with major e-commerce companies in the Indian market. Apart from his expertise in Google Analytics, he also has an extensive experience of over 5 years in IT industry. He is a digital analytics enthusiast and has a knack of understanding client requirements.

Pankaj Bhatlawande

Pankaj is Customer Success Manager at Tatvic with great interest in Digital Analytics. He has worked in Product Management, Strategy and Business development roles in his earlier career path.


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