Ingest, cleanse, transform, master and store data from varied data sources using cloud-native scalable yet cost-effective technology.
Enterprise Data Systems
Deploy enterprise grade data systems like data lakes, warehouses, operational data stores, etc.
Cloud Data Lakes
- Deploy cloud-based scalable data lakes on the AWS Athena, Spectrum or Azure Data Lake Service platforms
- Develop small scale data warehouses on traditional databases like PostGres, Amazon Redshift, MySQL or SQL Server.
Master Data Management
- Integrated Customer MDM with address standardization, fuzzy matching, rules based golden record creation and data stewarding interfaces.
Enterprise ready features
Enable enterprise-grade security, scalability, reusability and functionality while remaining cost-effective.
Configurable Data Ingestion
- Configuration based data ingestion framework to quickly onboard new data sources, profile them and integrate into reporting layers.
Varied Data Sources & Formats
- Integrate JSON, flat files, positional, csv, XML, parquet and other columnar data storage formats to enable blending of data from varied sources.
Data Security & Compliance
- Enterprise-grade layered security architecture, role-based KPI and data access, GDPR compliant framework with privacy enhancing features.
Analytics/Reporting/ML/AI pipeline integrations
- Deliver ingested data, KPIs and metrics to downstream analytics tools, reporting engines and feed into machine-learning and artificial intelligence data pipelines.