Interacting with BigQuery and Working with Queries
About This Webinar
Data-driven industries and markets are witnessing various cloud-based services that helps 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 process extensive data sets of sizes up to petabytes. It is one of the most efficient, fast, economical and fully managed solution for a large-scale data.
In the last webinar, we covered BigQuery basics, walkthrough of the product and simple queries to help you get started using the tool.
In this webinar, we will cover advanced concepts and some complex queries. We will give a demo of how to fetch data from BigQuery into tools like Excel, R and python so we can continue further analysis. Along With Hands-on exercise, we will demonstrate how to automate queries using Apps Script and Command Line tool.
Key Takeaway Points
This 45 minute interactive session will take you through the following:
- Running Advanced Queries
- Interacting with BigQuery
- BigQuery Web UI
- BigQuery Command Line Tool
- Automating Queries
- Using Apps Script
- Using Command Line Tool
- BigQuery data in Excel and R
- Quick Hands-on Exercise
Join 2 of the Tatvic’s BigQuery Experts Sarjak and Pankaj for a walk through of the basics of BigQuery, use cases and applications that helps gaining additional customer insights from the data integrated within BigQuery.
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 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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