Data Engineering
By:
DynAgility
Data quality, timeliness and reliability are key to delivering the data that are the lifeblood of your data lake. DynAgility’s experienced data engineers can help your company accelerate data pipeline development using the best tools available on AWS.
Overview
Data volumes continue to grow at increasing rates year over year and end users are accessing that information through many applications and tool sets. DynAgility data engineers ensure that the right data is in the right place for the right user on your AWS data lake.
Data Pipeline Development:
- Lake Formation
- Snowflake
- DataBricks
Cutting edge technology:
- AWS Data Pipeline
- Python / Pyspark
- EMR
- Kinesis
Data Quality:
- AWS Glue
- DataBrew
Data Migration Policy:
- AWS Snow Family
- S3 Lifecycle Rules
| Sold by | DynAgility |
| Categories | |
| Fulfillment method | Professional Services |
Pricing Information
This service is priced based on the scope of your request. Please contact seller for pricing details.
Support
Ongoing development, deployment and support for production pipelines or technology transfer to your internal organization.
Contact DynAgility for a private offer.