Organizations need to couple their data lake deployments with a scalable cloud-native data platform to be able to manage growth and complexity of data sources, react faster to customer needs, and improve collaboration - all at the same time. The data platform must remove the complexities of managing and running the different workloads so data teams and business users focus their efforts on designing solutions combining structured, semi-structured and unstructured datasets.
Qubole Data Services is an autonomous data platform that self-manages, self-optimizes and learns, taking away all the complexities of managing a big data infrastructure, allowing end user to concentrate on getting results out of the data lake.
This hands-on Quick Start is designed for data team members looking to get a full understanding of how Qubole Data Service (QDS) can be leveraged for all types of big data workloads using an AWS Data Lake with any engine, at any scale.
This Quick Start walks through various stages of a typical big data analyses and processing workflow:
In this Quick Start, you will use appropriate tools, engines, and interfaces all within QDS to build a solution that addresses business scenarios common in retail.