DataHour: Analyzing Movie Data using MongoDB
DataHour: Analyzing Movie Data using MongoDB
18 Aug 202215:08pm - 18 Aug 202216:08pm
DataHour: Analyzing Movie Data using MongoDB
About the Event
NoSQL Databases are the databases we use for modern-day applications. They differ from RDBMS platforms in many ways. In this DataHour, Raghu is going to demonstrate one of the most popular NoSQL databases, MongoDB. We’ll start by understanding what NoSQLs are then explore the world of MongoDB. We will also look at movie data with some reviews and other information and try to gain some insights.
Prerequisites: Enthusiasm for learning Data Science.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Raghu is currently working as Consultant and freelancer trainer in the Big data Technologies. Big Data technologies are his forte; with over 15 years of extensive experience in the IT industry, Raghu has designed and developed large scale enterprise applications, including building of a $30 million Big Data platform for one of the big Indian banks and 3 major big data platforms for Indian Telecom Vendors. He has deep expertise in building big data analytics solutions using AWS, Azure and Google cloud platform. Raghu is well versed in all the big data components available on these cloud providers and knows how to build solutions using it. As a corporate trainer, he has conducted around 600 corporate batches, 150 online batches and trained around 22000 people. These training program were conducted for 125 different companies including Flipkart, Walmart Labs, Cisco, eBay HPE, IBM, Samsung etc You can follow him on Linkedin.
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