Data forms
Structured data has a defined format, like database tables. Semi-structured and unstructured data, like emails or social posts, may have no schema. We engineer for all three.
Data Engineering
We help businesses with digital transformation by preparing them to share data between departments and lines of business. Our data engineering solutions provide a data management strategy that improves decision-making. We prioritize data and help companies make the most of it.
How the work flows
- SourcesIoT devices, applications, and connected systems
- PipelinesReal-time and batch ETL and ELT
- PlatformData lakes and warehouses
- InsightAnalytics and visualization
Every record, from source to insight
Raw data from devices, applications, and databases is cleansed and transformed, then delivered to the lake, the warehouse, and the dashboards that need it.
Data engineering for better-informed decisions
Companies everywhere handle large amounts of data from IoT devices, connected systems, and application users. IoT, artificial intelligence, machine learning, and big data have propelled the evolution of data-driven business.
CNC's data engineering solutions validate, verify, and improve data quality through ETL processes, and provide analytics and visualization that help organizations make data-driven decisions. We have helped companies tackle data problems, anticipate demand patterns, improve end-user satisfaction, and shape strategy from smart insights.
We work with structured, semi-structured, and unstructured data, end to end: acquisition, storage, modeling, consultation, automated ETL, pipelines, migration, integration, visualization, and analytics.
- Technology integration that aligns data strategy with business goals
- Engineering for complete data lifecycle management
- Analytics and visualization solutions built on data engineering tools and platforms
Data engineering offerings
Data architecture
Cloud data lakes, data warehouses, and end-to-end pipelines with automated ETL and ELT, built to be cost-effective, scalable, and secure.
ETL and ELT
Real-time and batch pipelines and processing, data cleansing and tagging, mapping, transformation, and validation, plus data lake and warehouse setup.
Analytics and visualization
Consulting on analytical methods, interactive dashboards, and managed reporting platforms using AWS QuickSight, Looker, Power BI, and more.
Data science
Machine learning for predictions and decisions, performance tuning, pattern recognition, recommendation engines, and adaptive learning.
Data storage
Efficient, secure data management on AWS S3, AWS EFS, Google Cloud, Azure Blob Storage, and other cloud storage.
Explore other services
- Full Stack DevelopmentFrontend, backend, databases, and mobile, built as one product.
- Cloud ServicesRoadmaps, migration, cloud-native builds, and operations.
- Artificial IntelligenceMachine learning and AI built into real business applications.
- Data AnalyticsDashboards and BI that turn high-volume data into decisions.
- Software Testing and QAQuality engineering across the whole software lifecycle.
Make more of your data
From acquisition to analytics, we can help with every stage of your data platform.