Building a Serverless Data Lake @ Amazon

• What we'll do
Hosted by Pradeep Paramasivam (BigData Tech. Lead, AWS Cloud Solutions) and Suvendu Kumar (Database Tech. Lead, AWS Cloud Solutions).

This session will include topics such as ingesting data from any data source at large scale, storing the data securely and durably, enabling the capability to use the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.

TOPIC(s) of Discussion:

• Key services that help enable a serverless data lake architecture
• A data analytics solution that follows the ingest, store, process, and analyze workflow
• Repeatable template deployment for implementing a data lake solution
• Building a metadata index and enabling search capability
• Setup of a large-scale data-ingestion pipeline from multiple data sources
• Transformation of data with simple functions that are event triggered
• Data processing by choosing the best tools and services for the use case
• Options available to better analyze the processed data
• Best practices for deployment and operations

Intended Audience This session is intended for experienced: Big Data admin / developers
Data architects and analysts
Solutions architects

Note:
Please carry a valid Photo ID.
Limited capacity, so please RSVP only if you will be able to attend the meetup