endorsedOngoingData Ingestion Pipeline Development (Python & Kafka)
Services Covered:
Industry
Information Technology
Duration
115 months
Budget
10K - 49K
Start Date
1 January 2017
Team Size
1-5 Employees
Engagement Model
Offshore
Project Capability Score (PCS)
75/100
Good
Project Capability Score (PCS) estimates how capable Quantum is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
iKnowology
IsraelProject Summary
Quantum provided outsourced development support to build a data ingestion pipeline for the client. The engagement involved a developer and a project manager working on a Python- and Kafka-based environment. Communication was handled via biweekly meetings and the client reported the engagement as professional and successful.
Key Challenges
- Develop a component with a data developer from the vendor
- Build a pipeline capable of ingesting large amounts of data from different sources
Project Deliverables
- Data pipeline
- Python and Kafka-based ingestion environment
Project Solution
Quantum supplied a developer and a project manager to develop a data pipeline that ingests large amounts of data from different sources. The environment was implemented using Python and Kafka and the vendor provided ongoing development support beginning in 2017.
Project Outcome
- Developers were professional and responsive
- The project was successful with no reported issues; client received expected results
- Clear project management with biweekly meetings and straightforward solutions
Platforms
API/Integration Platform
Tech Stack
Python
Client Endorsement
Overall Review Rating
4.75
5 out of 5 stars
5 out of 5 starsTimeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Quantum's developers were professional and easy to work with. Responsive and straightforward, they fostered a strong working relationship with the client. Project management was effective.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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