Our Approach: Delivering ETL Applications with AWS Glue

Inawisdom’s data engineering teams leverage the AWS native, serverless, and consumption-based pricing of AWS Glue to deliver complex extraction, transformation, and load applications quickly and efficiently.

AWS have abstracted away much of the undifferentiated heavy lifting in providing a serverless Spark execution environment in AWS Glue.

Inawisdom takes this a step further with our in-house, config-driven ingestion and transformation framework to allow our engineers and customers to rapidly focus on creating unique value from their bespoke data.

About Glue

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.

AWS Glue provides all the capabilities needed for data integration, so you can start analyzing your data and putting it to use in minutes instead of months. AWS Glue provides both visual and code-based interfaces to make data integration easier. Users can easily find and access data using the AWS Glue Data Catalog.

Glue’s Place in the Data Platform and Lake House Ecosystem

  • Glue plays a key role in scalable data ingestion from a variety of sources alongside other AWS Serverless services such as Lambda
  • The Glue Data Catalog provides a centralised source of truth detailing the data available in the Data Platform
  • Transformation is where Glue excels, providing low-cost and high performance Spark based execution environments that scale for workloads of all sizes and complexity

Case Study: Enabling Data-Driven Decisions for Admiral Money

Inawisdom designed a secure, scalable data and analytics platform to help Admiral Money access accurate, actionable business insights faster. Read the case study to see how we used AWS Glue to accelerate data ingestion and transformation, as part of the new Data Lake House Architecture.

View more of our customer case studies.