Data integration, storage, transformation and consumption architectures, processes and technologies have been evolving to meet the challenges of exponentially growing big data (volume, variety, velocity, variability and value). Traditional on-premise data warehousing solutions are making way for cloud native data engineering solutions leveraging elasticity and security of cloud infrastructure.

krtrimaɪQ helps its clients navigate through these innovations to get best possible value out of their data assets.

Modern Data Engineering

With big data and cloud technology proven benefits, for large and medium-sized enterprises hybrid environments has become common. Hence, their data engineering practices and systems need to be enhanced to access data from multiple internal and external sources, open and heterogeneous data and process and organise for various analytical work loads.

Modern Data Engineering

Data Integration and Virtualization

With big data and cloud technology proven benefits, for large and medium-sized enterprises hybrid environments has become common. Hence, their data engineering practices and systems need to be enhanced to access data from multiple internal and external sources, open and heterogeneous data and process and organise for various analytical work loads.

Data Integration and Virtualization

Data Organization (Models/Architectures)

Data Organization

To cater to different types of analytical users and work loads, underlying data architecture and storage needs to be designed differently. These data architectures and associated tools are also constantly evolving with time. Are you leveraging these latest innovations for better, faster and cheaper data engineering solutions?

Cloud Data Engineering

Cloud native data engineering and data warehousing are becoming essential for all types of analytical workloads irrespective of size, scale and reach of the enterprise. They take advantage of cloud features such as scalability, reliability, availability while catering to information needs of operational, business and power users at scale. This enables enterprises faster go to market, timely intelligence across channels giving competitive advantage apart from operational efficiencies.

Are you modernising your data infrastructure to leverage cloud native data engineering tools and technologies?

Cloud Data Engineering