Overview
The talk will cover Big Data Exploration with BigQuery and Github and Introduction to Serverless Big Data processing on GCP.
This event is most suitable for professionals in Data Analytics or Data Science.
Please register your interest to attend the talks with us. In view of the technical nature of the event, we will then send you an email to confirm your attendance should the event suit your profile.
Date: 7 February 2018
Time: 6:30pm - 8:30pm
Venue: 32 Carpenter Street, Singapore 059911
Programme:
6:30pm - 7:00pm: Registration
7:00pm - 7:45pm: Talk 1 - A Big Data Exploration with BigQuery and Github
7:45pm - 8:30pm: Talk 2 -Introduction to Serverless Big Data processing on GCP
8:30pm: End
Talk 1:A Big Data Exploration with BigQuery and Github
Speaker: Felipe Hoffa, Developer Advocate from Google
Synopsis: What can we learn from 1.1 billion GitHub events and 42 TB of code?Anyone can easily analyze the more than five years of GitHub metadata and 42+ terabytes of open source code. We'll leverage this data to understand the community and code related to any language or project. Relevant for data analysts and data scientists.
Talk 2: Introduction to Serverless Big Data processing on GCP
Speaker: Allen Day, Developer Advocate from Google
Synopsis: In this presentation we'll do a high-level review of some of the managed services available on Google Cloud Platform for deriving insights from petabyte-scale datasets. Who should attend: Data engineers, Data scientists, and Data analysts.
