About this Masterclass

Every company today makes decisions based on historical data. Going through big data sets can be time-consuming and effort-intensive. How can this system be made more efficient and productive while keeping it accurate?

Introducing Spark, an open-source cluster computing platform which is highly suitable for working on big sets of data. It has high-speed, real-time data processing capabilities and can work with multiple languages such as Java, Python, C and many more. Excited to know more? 

Join Amit Singh’s Free Masterclass on 5th February, Sunday at 5 PM for a detailed understanding of Spark and its awesome features.

What You Will Learn From This Session

• Introduction To Spark

• How Processing in spark differs from Hadoop at architecture level?

• Use case: How spark can help us in figuring the “most popular movie of all time” using GB/TB of data

• Do and Don’t of Spark

• What will be the optimisation that can be done

Meet Amit Singh (LinkedIn)

• Lead Data Scientist & Instructor, Scaler
• Google Authorized trainer, Cloud Architect
• Microsoft Certified Azure Trainer
  
  
  

About Scaler Data Science

Many professionals (like us!) enter the field of Data Science by working on toy data sets and have no real-world knowledge of using real data. We are exposed to ‘old’ teaching methods and are taught to ‘cram’ content. When they start working in the industry, they fail to catch up on the skills that the industry needs because they never learnt the real-world application of using messy data and thus, end up lagging behind their peers. This leads to a loss of confidence and stops them from accelerating their career. This is where Scaler Data Science solves the problems!

Scaler Data Science is a tailor-made program to master the foundations of Data Science and Machine Learning and to take their career to the next level, via:

• A structured, guided, and industry vetted curriculum
• Live classes by faculty who have been there, done that
• Regular 1:1 mentorship from industry veterans
• Practical experience through real-life projects
• Career support via a dedicated recruitment team, alumni network, etc.
• Aspirational peer group of 3,500+ Scaler students & alumni