After analyzing your existing data systems, we will create a plan and process for migration to big data technologies, or a hybrid of traditional and big data architecture as appropriate. Working with your team and keeping your business goals in mind, we'll help you turn data from numerous sources into actionable information.

Leveraging Hadoop for infrastructure management, we build modern data ingestion platforms using data lakes and data warehouses on platforms like Hive and Impala.

We create an architecture for tightly integrating real-time and batch mode data processing. Our best practices include using Lambda architecture and backend NoSQL data store for real-time processing. For processing social data, we leverage real-time platforms such as Spark Streaming.

Based on decades of experience, we overcome the challenges of integrating master data management and NoSQL to deliver all the benefits of high-performance transactions with clustered setup and high-performance scalable lookups.

We have built our own IP; these technologies serve as accelerators, enabling us to solve your challenges more efficiently. Our accelerators provide a rich set of built-in device ready, technology-agnostic functions to give you a head start toward uncovering the insights that will help your business stay competitive.

Our expertise allows modern businesses to extract more value out of their feature-rich, high-performance cloud investments. To become data and analytics leaders in your industry, you need to prioritize workloads that can exploit various cloud provider capabilities and focus on cost and asset optimization.