Scalable modern architectures. Workload-centric architectures to meet different
Extraction of structured, unstructured data coming from streaming and batch sources and refining/cleansing data to make it available on legacy database systems or cloud systems, to data scientists and business users for exploration and analysis
Extracting, processing, transforming, and loading data techniques into various relational, non-relational, noSQL, big data systems and/or cloud storages, depending on data availability, volume, velocity, type of data
An efficient and smart approach for migrating business data to/from on-prem legacy systems into cloud storage infrastructure or new target platforms
Building production-grade replayable and independent data workflow pipelines to move, transform and store data using various legacy, Big Data and / or cloud orchestration and data management pipeline tools and techniques like DF, Databricks, Synapse, Informatica, etc., to process data in batch and real time
Expertise in legacy and cloud-based deployment services for developing efficient production build and release pipelines based on infrastructure-as-code artifacts, reference / application data, database objects (schema definitions, functions, stored procedures, etc.), data pipeline definitions and data validation and transformation logics
Expertise in implementing real-time and batch data processing systems across distributed environments based on mobile, web hosting and cloud services
Legacy and SQL
We can transition data from legacy systems into modern systems. We are adept in SQL; even if legacy systems don’t use RDMS databases, modern systems still often use SQL interfaces.
Big Data
Huge volumes of data has to be coupled with quality system architecture and well-planned use strategies. We can engage your business with the power of big data strategies that drive value and ROI.
Data Lakes
Data lakes are centralised pools of data. We can streamline the ingestion of data into data lakes for piping downstream to applications and other endpoints.
Pipelines
We construct both ETL pipelines to move and transform data from system to database and ELT pipelines that transform data at its destination. Data can be moved and transformed via either batch processing techniques or real-time streaming.
Machine Learning
We can construct data systems that pipe data into machine learning applications.
Modelling
We can use your existing data and newly collected data to construct foundational predictive models that can be actioned across your products and services.
Founded in 2008 and contributing to diverse industry segments in tech architecture, emerging technologies, team augmentation and holistic tech-oriented consulting to enable organizations in adapting modern technologies and practices to reduce costs, optimize processes and maximizing the ROI.
Technologies we work with
Serving over more than a decade with a diverse range of clients, products.
Responsive Web Apps
Improving accessibility of business functions for users and broadening horizons for the respective existing and potential customers, we develop tailor-made Responsive Web Apps to assimilate the user-base providing wide-range accessibilities to create robust systems for a sticky user engagement.