Build your data pipelines as the foundation of your data analytics
Our team of world-class data engineers will help you design, build and maintain a Data Warehouse / Data Lake that will accommodate massive data volumes, different data types, and massive data processing workloads.
We can also help you with legacy system retirement, replacing traditional Data Warehouse with a modern one optimised for today’s requirements in big data, analytics, real-time operation, high-performance, and cost control.
Traditional Data Warehouses were never designed to handle the growing volume, variety, and velocity of Big Data. As new business practices require bigger and fresher data, you might have already thought about modernisation of your Data Warehouse to keep it competitive, growing, and aligned with new business and technology requirements.
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Why Do You Need A Data Lake?
- A Data Lake simplifies the acquisition and storage of diverse types of data, whether structured, semi-structured, or unstructured.
- A Data Lake is a foundation for data analytics, it can feed both the production BI/DW environment and analytics sandboxes for data analysts and data scientists.
- A Data Lake can scale in a cost-effective manner.