Building an AWS Serverless Analytics Pipeline

Data is considered a vital strategic asset in today's business landscape, and failure to convert it into actionable insights can lead to missed opportunities and revenue. A well-architected data analytics pipeline can effectively collect, process, and secure your data, but navigating the sea of microservices offered by various hyperscalers can prove to be a challenge.

Take a guided tour through the key considerations and advantages of building a serverless data analytics pipeline on AWS with Mission's data science and engineering experts in our upcoming webinar, where we will explore:

-Data ingestion and storage with AWS Managed Services
-Performing data transformation with AWS Glue
-Event-driven pipelines and workflows with Lambda and Step Functions
-Querying your data lake with Amazon Athena
-Near-real time visualization and machine learning with Amazon QuickSight
-Managing data security, governance, and compliance with AWS Lake Formation

We will also be sharing use cases and success stories to demonstrate how working with an AWS Premier Consulting Partner and Data & Analytics Competency holder like Mission Cloud Services will ensure successful outcomes for your business.

Presenters:
Ryan Ries, PhD. - Data, Analytics, & Machine Learning Practice Lead, Mission
Scott Clark - AWS Big Data Specialist, Mission