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Data Lakehouse Architecture Solutions
Lakehouse architectures combine the flexibility of data lakes with the structure of data warehouses. We help you build unified, scalable, and analytics-ready platforms.
Data Engineering
The lakehouse model is revolutionizing how enterprises manage data. By integrating structured, semi-structured, and unstructured data into a single platform with transactional consistency and BI compatibility, we enable faster insights and lower costs. This is data architecture built for the AI era.
What we can do with it:
Design and deploy modern lakehouse infrastructure.
Combine batch and streaming data into a unified system.
Implement Delta Lake, Apache Iceberg, or Hudi.
Enable SQL-based analytics on lake-native data.
Build secure access layers for data scientists and analysts.
Integrate BI tools like Power BI, Looker, or Tableau.
Manage metadata, catalogs, and schema enforcement.
Orchestrate scalable data pipelines using Spark or Flink.
Enable ACID transactions and versioning in data lakes.
Automate data lifecycle policies (archiving, cleanup, tiering).