We help organizations to prepare their data for analytics, AI, and ML to derive value from them. Data today comes in various formats that need to be normalized, cleansed, integrated with traditional sources (often existing data warehouses), and then enriched. Transformed data provides a faster, easier way to perform data and analytics engineering and, as a result, delivers greater control over your data.
Gleecus TechLabs Inc. provides data transformation solution to all organizations at the different stages of Data Engineering to extract, clean, convert, and structure data into consumable format for analytics and data mining.
We help you to assess your data collection, storage, analysis, and delivery methods to build a data strategy conforming to your unique business needs.
Bring in the devlopment, operations, and engineering team together under a common data platform to avoid data silos.
We build streamlined pipelines for automatic extraction, transformation, and loading of data into suitable data warehouses and data lakes ready for analytics consumption.
Leverage powerful AWS services like AWS Glue or AWS Data Pipeline to process and transform raw data to high quality, accurate data ready for complex analysis.
From Data Lakes to Data Analytics tools we leverage the power of Azure Data Engineering solutions to formulate a robust data architecture for driving actionable insights from your data.
Execute data ingestion, data management, ETL processes and implement data governance on the robust Data Lakehouse platform.
We seamlessly integrate with a variety of ecosystem partners and platforms to enable greater flexibility and speed to market.
We believe in partnering with organizations to help them discover the power of technology by unlocking their true digital potential.
