At a glance
Agenda
Rearc overview
AWS Data Exchange overview and important concepts
Deep dive into AWS Data Exchange for data files
Hands-on lab highlighting how to query, filter, and analyze Rearc data
Date & time
Overview
Overview
Who should watch
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CTOs/VPs/directors
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Data architects
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Data analysts
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Business analysts
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Data scientist/data strategists
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Data engineers
Attached webinar
Watch our on-demand webinar, recorded on April 19th featuring leaders from AWS and Rearc and learn how to streamline your data analytics pipeline to accelerate data insights and reduce time-to-value.
Speakers
Chidambaram Muthappan
AWS Data Exchange Specialist Solutions Architect, Amazon Web Services
Riley Nastase
Analytics Engineer, Rearc
Enza Mammoli
Program Manager, Amazon Web Services
Neelam Koshiya
Sr. Solutions Architect, Amazon Web Services
Rajalakshmi Ventakataramani
Data Lake Data Architect, Amazon Web Services
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Details
Overview
Data is at the forefront of every decision that an organization makes. Leveraging only data from inside your organization might provide an incomplete picture, and make it impossible to get to deeper level insights. This pre-recorded workshop will provide you with a comprehensive understanding of how organizations can use third-party data to accelerate their data analytics pipeline and how data enrichment enables advances problem-solving, reduces resource constraints, and improves business intelligence.
Through hands-on exercises involving the National Address Database product from Rearc, you will learn how AWS Data Exchange helps streamline the traditional data ingestion process and enables faster data ingest, analytics, and insight generation.
Pre-requisites to follow along:
- Have an AWS account with Administrator privileges
- You will receive AWS credits to cover potential costs for the lab
Workshop highlights
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AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud
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Customers can easily subscribe and use Rearc data via AWS Data Exchange
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Using the power of AWS stack of analytics services, users can seamlessly access, analyze and visualize data