FAQ
Last updated
Last updated
The key data Lakehouse features delivered by the ZebClient Analytics infrastructure includes:
Single data low-cost data store for all data types (structured, unstructured, and semi-structured)
Data management features to apply schema, enforce data governance, and provide ETL processes and data cleansing
Transaction support for ACID (atomicity, consistency, isolation, and durability) properties to ensure data consistency when multiple users concurrently read and write data
Standardised storage formats that can be used in multiple software programs
End-to-end streaming to support real-time ingestion of data and insight generation
Separate compute and storage resources to ensure scalability for a diverse set of workloads
Direct access for BI apps or AI SQL agent to the source data in the lakehouse to reduce data duplication.
ZebClient Analytics supports to deliver SQL query answers to natural language questions using a private integrated LLM. The LLM is specifically trained to generate text to sql queries and then tuned to the specific use case.
A Modern Data Analytics Platform like ZebClient Analytics delivers an unified environment with a broad deployment footprint and the ability to handle a wide range of analytical use cases while meeting high-performance requirements at scale without subverting security, management, and total cost of ownership (TCO) expectations
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