Sold by: AppLogika
Implement production-grade ETL and distributed data-processing pipelines using AWS Glue and Apache Spark.
Overview
Applogika designs and implements scalable ETL and ELT workloads using AWS Glue, Apache Spark, Amazon S3, and supporting AWS services. The solution is designed around customer data volumes, transformation logic, processing schedules, downstream analytics requirements, and service-level expectations.
The implementation can include AWS Glue jobs, Spark transformations, partitioning, job bookmarks, orchestration, retries, error handling, workflow dependencies, schema management, monitoring, logging, and infrastructure automation. Applogika also evaluates worker sizing and processing behavior to help balance scalability and operational efficiency. Customers receive tested production pipelines, deployment documentation, monitoring guidance, operational procedures, and knowledge transfer for ongoing data engineering operations.
Highlights
- Build production-ready AWS Glue and Apache Spark data pipelines.
- Implement orchestration, scaling, monitoring, and failure handling.
- Create reusable pipeline patterns designed for growing enterprise data volumes.
Details
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
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Support
Vendor support
Applogika provides support for this professional services engagement, including onboarding, assessment or deployment activities, configuration, troubleshooting, documentation, knowledge transfer, and agreed post-delivery assistance. Support is provided during standard business hours, with priority response options available according to the purchased support plan.
Support Email: contact@applogika.com
Phone: +1 215-515-7445
Website: https://www.applogika.com