Reimagining Your Ways To Manage & Experience Data
Let’s Transform How You Deal With Data
A gazillion bytes of data flows through enterprise systems everyday and archiving, storing, retrieving, and executing on them isn’t an easy feat. Not every bit of data is actionable from this datastream and a smart information management goes a long way to lead data to value.
The Data Engineering practice at Comsense is a proven ecosystem for data infrastructure setup/modernization, seamless data migration, etc. helping future-proof data and improving its management and analytics.
Data Engineering Service Highlights
Data Pipeline Modernization
Proficiency in designing, developing, and deploying data automated pipelines – either from the ground up or leveraging cloud-platform services.
Data Lake Services
Setting up scalable and secured data lakes for reduced cost of storing, simplified data extraction/ingestion, and self-serviceability of enterprise data.
Cloud Data Architecture
Big data engineering and cloud solution implementation to enhance the quality of data infrastructure and design optimization of business database.
Automating ETL/ELT Data processing for multi-layer data and loading them into necessary data models to enable advanced reporting and analytics.
Advanced Data Processing
Consulting and implementation of scalable data solutions that improve batch-level processing of data, besides evolving data standardization and data maintenance.
Differentiating Data Engineering
Validated data strategy leads planned engineering sprints, ensuring the alignment with our client’s business goals
We consult on the client’s strategic goal to be a data-driven enterprise and align transformative steps accordingly
Security-first data engineering practice to ensure data security and privacy needs are addressed
Focus on scalable architecture integration to ensure data modernization longevity