DataHour: Dataflow on Google Cloud

About the DataHour:

Cloud Dataflow is a Google Cloud product that uses Apache Beam for unified batch or streaming data pipelines using Python or Java. Dataflow has many applicable use cases and many helpful features.

In this DataHour, Yash will give you a brief introduction to Apache Beam and the basics of the Apache Beam framework. He will also explain how useful and easy it is to develop unified data pipelines using Apache Beam and scale it on Google Cloud.

He will be discussing the basic batch pipeline and will perform some hands-on around the same which will enable you to start exploring more and understand the product in depth and details.

Prerequisites: Basic understanding of Data Pipelines/warehousing/ETL and Python and interest in Data Science.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Note: E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.

Speaker:

Yash Badani

Cloud Engineer at Google

Yash has 5+ years of industry experience working with customers across the globe and making them successful in the Data Engineering space. Currently he works at Google as a Cloud Engineer and architects solutions on Google Cloud for his customers across the globe. He is a Certified Professional Data Engineer and Machine Learning Engineer by Google Cloud. He is also a Certified Solutions Architect and Big Data Specialist by AWS. During his tenure, he had the opportunity to work across domains and roles. He always likes to learn and explore new things and get unique experiences.

Connect with Yash on linkedin.