Automate your data loading with our proven Altida Data Load Accelerator framework
Learn how you can keep up with your data demands by partnering with Altis.
Learn how you can keep up with your data demands by partnering with Altis.
Because today’s organisations have an increasing appetite for using information to drive business decisions, they need the right technology to help them quickly extract and utilise data from multiple sources.
Built from over 20 years’ experience, our Altida Data Load Accelerator can generate immediate benefits to your organisation by automating the loading and transformation of your data using our metadata-driven accelerator framework.
Rather than completing time consuming custom coded logic, Altis’ advanced metadata driven framework can automate these tasks with pre-built logic and data orchestration templates.
Altis’ highly experienced consultants will work alongside you to create an environment that enhances your existing infrastructure, allows your users to focus on data analysis and reporting, all while dramatically reducing the cost of operations.
The Altida Data Loading Accelerator caters for Azure, AWS, Snowflake and on-premise SQL and has been successfully implemented across wide-ranging business verticals like utility companies, financial firms, media and transport.
Proven business success
Fast ingestion of data from source to landing layer to support Speed 2/Experimentation use cases.
Feature rich “out of the box” solutions
Traditional RDBMS (Refresh, CDC, SCD-2), files (CSV, Excel), streaming, time-series/IoT, API and semi-structured data sets (e.g. Parquet, JSON) patterns
Outstanding Extendibility/Adaptability
Patterns can be reused for data quality or data reconciliation solutions, with modular “plug & play” design.
Easier maintenance and support
Pre-built audit, error logging, restartability, parallelism, single location for business logic, requiring straightforward SQL skills to support.
Reduced test cycles/regression testing
Same code base is reused across all load patterns reducing traditional testing cycles significantly.
Data Ops and Data Governance friendly
Ready for code management and multiple data personas to ensure robust governance and security environment.
AI and Machine learning ready
Able to ‘plug and play’ AI/ML pipelines into your ingested data store to automate processes and improve Business Intelligence.