Data Engineering

Transform data into the building blocks of your success.

VedRock Consulting helps you drive critical business insights by building and deploying scalable data processing pipelines for machine learning and advanced analytics.

What does it mean for you?

Although data-driven insights can produce a powerful fuel for your business progress, getting understanding from data is not a simple task. It requires a sound data engineering practice that helps gather, prepare, and enrich data so that they can be effectively used for machine learning, advanced analytics, visualization, and incorporation in other systems.

What are examples of data engineering services that we can deploy immediately to improve your data practice?

Data Pipelines

Process data using ELT/ETL.
Onboard new datasets.
Build, maintain and automate data pipelines for advanced analytics.

ML Data Preparation

Summarize the main characteristics of datasets through exploratory data analytics.
Build features for ML models.
Standardize and improve data quality.

Data Integration

Bring together data from various sources.
Publish processed data to cloud applications.

DataOps

We use DataOps principles to govern the flow of data and code moving through each step of the data lifecycle. Our process includes best industry practices for test automation, source code sharing, team collaboration, framework orchestration, and workflow automation.

Need to collect, store, transform, and prepare data for use in advanced analytics?

We can help. Let's talk!