This is How Big Data Helps in Making Mobile Apps Better | Data Engineering | Data Science |

Watch Shashank Mishra (Data Engineer III, Expedia) explain how Big Data helps in making mobile apps better. Check out our FREE masterclasses by leading industry experts now: https://www.scaler.com/events?utm_sou...

The radical increase in mobile users has given the necessary boost to the mobile app industry. The dependency and reliance people have on mobile apps to carry out day-to-day tasks call for rigorous research and improvement to cater for the needs of the users. These mobile applications consume a lot of data and certainly require tools to efficiently manage these datasets. Here’s where Big Data and Big Data Analytics come to play.

What is Big Data?
Big Data is a collection of structured, semi-structured, and unstructured data gathered by businesses and utilised in machine learning projects, predictive modelling, and other advanced analytics applications.

A Data Engineer is one of the data specialists who exemplify the fusion of data science with software engineering. He is the one who works on the building and designing of systems for managing, collecting, storing, and analysing big data at scale.

Data Engineering, as a profession is fast gaining pace in the data science ecosystem, and due to the strong need for Data Engineers, even FAANG companies are willing to spend a fortune for qualified individuals.

So how does a data specialist optimise the use of big data to make the apps better? Find out our expert’s take on how big data contributes to making apps better.

0:00 - Introduction
1:02 - Developing customer-driven applications
2:24 - Custom notification for marketing
5:07 - Real-time data analysis
7:15 - Personalised recommendations
9:30 - Improving application performance

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