AI / ML
Harness AI & ML to drive intelligent insights and automation in data process and cloud implementation.
Unlock Intelligent Insights with AI & ML
Leverage AI & ML to transform data into actionable insights, enabling smarter decision-making and automation at scale.
Seamless Model Deployment for Smarter Decisions
Build, train, and deploy machine learning models seamlessly with a unified platform that enhances collaboration and accelerates innovation.


Snowflake
Cloud-native data warehouse offering elastic scaling and multi-cloud support.
Seamless integration for structured and semi-structured data analysis.
Perform real-time analytics on diverse datasets using Snowflake’s unified platform with built-in security features.
High-performance query optimization tools.
Run complex SQL queries efficiently while optimizing costs using Snowflake’s elastic architecture.
Hadoop
Distributed computing framework optimized for large-scale batch processing.
Scalable storage and processing capabilities with HDFS and MapReduce.
Process massive datasets efficiently using Hadoop’s ecosystem of tools like YARN or Hive for advanced analytics workloads.
Integration with modern analytics platforms like Spark or Kafka.
Combine Hadoop’s storage capabilities with real-time processing frameworks to enable advanced analytics solutions.


Teradata
Enterprise-grade analytics platform optimized for high-performance workloads.
Advanced data warehousing and analytics capabilities.
Leverage Teradata’s massively parallel processing (MPP) architecture to handle complex queries on large datasets. Optimized for hybrid cloud deployments to ensure flexibility and scalability.
Seamless integration with modern analytics tools.
Integrate with BI platforms like Tableau and Power BI for real-time insights. Support for structured, semi-structured, and unstructured data across diverse industries.
BigQuery
Google Cloud’s serverless data warehouse for massive-scale analytics.
Real-time SQL-based analytics on large datasets.
Perform lightning-fast queries on petabyte-scale data using BigQuery’s columnar storage format. Built-in machine learning capabilities to enable predictive analytics directly within the platform.
Elastic scaling with pay-as-you-go pricing.
Scale seamlessly without managing infrastructure while optimizing costs for high-performance workloads.
