Data Roadmap and Strategy
Define different layers of data lake including data source, data management, and optimization, ETL state to optimize as per the client’s existing needs and meet business objectives.
End-to-End Data Lake Implementation
Complete architecture implementation from varied data ingestion i.e structured, unstructured, and semi-structured data to data storage, data preparation, data governance to data discovery, and security.
Data Lake Analytics
Our team of experts helps perform data analysis on the transformed data by using different analytics algorithms and tools for Interactive analytics, big data processing, machine learning, real-time analytics, and operational analytics.
Our experts focus on optimizing the storage setup by focussing on data virtualization and data masking.
We focus on automating testing for ingestion, storage, data processing, data distribution, data lineage, metadata, data visualization, data mining, and ETL automation using different scripting languages.
Data Lake Migration
Enables migration from the on-prem data lake to the public cloud or from one public cloud to another as per specific business requirements.