Data Lake Integration
Effortlessly Consolidate Data into Your Data Lake
More organizations are adopting data lakes as part of their architecture for their low cost and efficiency in storing large volumes of data. The idea is simple: Instead of storing data in a purpose-built data store, you move it into a data lake in its original format. This eliminates the upfront costs of data ingestion and transformation. Once data is in the lake, it’s available to everyone in the organization for analysis.
But while a data lake is an efficient solution, it does not come without challenges:
- Initial on-boarding of data from multiple sources
- Continual updates in real-time
- Moving high volumes of data to the data lake while mitigating chatter and latency
Get the Right Features for Consolidating and Moving Data into Your Enterprise Data Lake
We enable you to easily move your data into your lake and update your data lake in real-time. HVR’s solution includes:
- Initial data load from multiple sources to the data lake
- Log-based change data capture for real-time updates
- Compare and repair feature to ensure data accuracy
Benefits of using HVR to feed your data lake include:
- Efficiently load and update data
- Move high volumes of data for real-time analysis
- Accelerate data movement with minimal impact on systems
- Scale the solution for multiple projects and systems