Data Engineering
Data Engineering is the discipline of designing, building, and maintaining a robust infrastructure for collecting, transforming, storing, and serving data for the purposes of machine learning, analytic reporting, and/or decision management. Data Engineering is the enabler for efficient and operationalized Data Science.
Business Value
- Easy to deploy and manage; dramatically simplifies your data warehouse and analytics infrastructure
- Fast time-to-value for important business intelligence and analytic initiatives that impact your bottom line
- Meet increasing demands for performance and capacity using cost-effective industry building blocks
- Protect your information with high availability, business continuity, and security
WE KNOW HOW TO EXPLOIT THE FULL POTENTIAL OF YOUR DATA
We harness big data potential in various domains to the maximum and ensure ROI on your big data investments. For you to generate meaningful insights from your big data, we bring multiple data sources under the umbrella of a unified big data solution.
Customer Analytics
Marketing and Sales Analytics
Supply Chain Analytics
Asset Analytics
Manufacturing Analytics
Financial Analytics
CHOOSE YOUR BIG DATA CONSULTING OPTION
We offer 3 cooperation models for big data consulting to address your business challenges efficiently.
Big Data analytics outsourcing
Do you want to enjoy meaningful insights out of petabytes of big data without investing in designing and supporting a full-scale solution? Turn to our data analytics outsourcing services.
Big data implementation consulting
Do you consider implementing a big data solution or completely revamping the existing one? We are ready to implement our best practices to customize your big data project in accordance with your current needs.
Big data improvement consulting
Does the existing big data solution bring inadequate ROI and your attempts to get value from big data lead nowhere? Our team will consult you on tuning your big data platform in accordance with your business objectives.
Data Engineering Services
Setup
Operate
Secure
Maturity assessment
Engineering Services
Compliance Assessment
Architecture Definition
data Infrastructure Support
GDPR
Cloud Migration
BI Support
PCI
BI / EDW Design
DevOps
Cloud Security
Technologies We use
Data Engineering Solutions
Data Infrastructure Solutions
- Data Lake design and implementation
- Deployment with multiple models: cloud, on-prem and hybrid
- Real-time and batch data processing for AI/ML use-cases, dashboards
Data Engineering Solutions
- Design and development of data pipelines (ETL/ELT)
- Design and development of data products with APIs
- DQM (Data Quality Management) enablement with robust audit processes
- Feature Store design and development
Data Governance Solutions
- Design and implementation of data governance solutions to enforce data policies (e.g. GDPR compliance)
- Design and implementation of data ownership, and access policies
- Data security audits
Data Operations
- Data Lake and RDBMS Management
- DBA Services
- Data Quality Monitoring and Support
Our differentiators
Data Science and Analytics Focus
Enables Incedo to focus on key success drivers for building data infrastructure.
Data Engineering Accelerators
Incedo provides out of the box solutions for data engineering including data lake and feature store solutions which minimize time to value.
World-Class Engineering Services
Incedo helps your organization with full portfolio of data engineering services to augment your organization’s data team.
Managed Services
Incedo provides full suite of managed services to drive down the cost of data ownership.