We specialize in guiding clients through the intricacies of Databricks Lakehouse architecture. Our services encompass a comprehensive roadmap tailored to each client's unique needs with minimal third party SaaS licensing footprint. With our expertise, we assist clients with roadmaps to unlock the full potential of a Data Lakehouse.

Build a Data Mesh platform with us leveraging Databricks platform accelerators and patterns to decentralise and democratise data with domain ownership. Our highly modularised Infrastructure as Code patterns built using Terraform can create fully operational Data Mesh Domain Nodes with medallion architecture both for non-production and production workload within a very short span of time.

Our patterns and policies through Databricks Unity Catalog can help manage access to data, data products, storage and ML models. Our patterns also support various masking & anonymisation methods. Although most use cases can be supported using native features on Databricks, there might be a genuine need to integrate third party solutions in this space and we can assist with implementation of those solutions.

We provide managed service to run production workload on Databricks for your organisation tailored to your needs. With efficient alerting and monitoring in place, we manage production runs with a business context in mind with an aim to continuously improve performance, reduce incidents and compute costs. Our operations in two time zones (Australia & India) allows us to offer a highly flexible support arrangement.

Build a Data & Analytics Engineering Practice for your organisation with us and leverage our modularised Data Engineering Accelerators and Patterns for Data Ingestion, Data Streaming, Change Data Capture (CDC), Data Transformation in a medallion architecture, Data/Code Migration from traditional warehouses, Integrate with other cloud warehouses, Create & Share Data Products, CI/CD Pipelines, Delta live tables, Workflows, Dashboards, Advanced Analytics using R and Python.

Although Modern data platforms are extremely flexible, Data Modelling still continues to play a foundational role in producing consistently reliable insight especially when data is used in ML models, regulatory obligations or business critical functions. We use SqlDBM to build conceptual, logical and physical data models and have many pre-built industry and domain specific data models that are pre-tagged for PII attributes for applying data security and governance policies. The models are ready to use and can be enhanced as needed.

We specialize in providing robust Data Governance and Observability solutions for Data Lakehouse harnessing the latest governance and monitoring features offered through Databricks Unity Catalog. Our services also include implementing comprehensive data governance frameworks tailored to the unique use cases leveraging our partner solutions from Atlan and Monte Carlo.

With active metadata management, we provide an always-on, intelligent, API-driven, and action-oriented system that powers use cases from governance, cost optimization and quality control to data security. Active metadata helps to continuously access and process all kinds of metadata to understand organisation’s data with relevant context.

We specialize in delivering real-time analytics and business intelligence reporting solutions on Databricks using native reporting capability on the platform or using external reporting solutions like Tableau, PowerBI & Looker.

Our expertise extends to Master Data Management and dimensional modeling with attribute based tagging on the Lakehouse platform. We design dimensions in a way that provide structured and insightful representation of data with faster query performance.

We develop accelerators for seamless migration from legacy data warehouses to contemporary Databricks Lakehouse. We perform a thorough assessment of existing data structures and workflows and prepare a migration strategy to target state architecture, with an aim to improve security and governance.

We offer Enterprise Data Catalog services utilizing both Databricks Unity Catalog and our partner Atlan. We ensure data discovery, data product registration, data tagging completeness, data classification and governance, providing clients with a unified and organized view of their data assets. We empower organizations to enhance collaboration, improve data visibility & quality and comply with regulatory data governance standards.

Our Platform Engineering practice sets up Databricks instances in line with a well thought-through target state architecture in the customer preferred cloud host (AWS, Azure and GCP). We also support concurrent multi-cloud hosting of Databricks if a customer wishes not be locked with a single cloud. With a focus on seamless and secured integration and platform automation, we ensures clients derive maximum value from their investment in Databricks.

Our ML experts speak the machine language to develop efficient models for specific use cases. Be it fraud detection or image classification or analysing twitter sentiments or use cases specific to your organisation, our MLOps experts can help build & train the models to face the real world.

We provide data streaming capability on the Databricks Data Intelligence Platform which almost always benefit customers from improved throughput, less operational overhead, and drastically reduced costs. Some of these interfaces operate at real-time, subsecond latency; while others run as infrequently as once per day.

We provide real-time database replication capability into the Databricks Lakehouse using Arcion, which enable continuous and instantaneous transfer of data from source databases. Our expertise lies in designing robust replication low-code pipelines, ensuring zero-loss data consistency and accuracy.

We provide cost and compute optimization services alongside fine-tuned performance enhancements on Databricks. Our experts conduct comprehensive assessments to identify opportunities and go beyond standard Apache spark and delta lake tuning tools, for Databricks workloads to operate at peak efficiency, enhancing overall system performance.

We participate and offer our support to organisations engaged in data science and advanced analytics on Databricks or Apache Spark, pertaining to Climate Change, Health Science or Public Welfare, without any associated fees or margin.

We specialise in building native Databricks Lakehouse Integration for SaaS Platforms. We specialize in designing and building robust connectors and pipelines that facilitate the smooth flow of data between Databricks and your SaaS applications with a focus on data consistency, accessibility, and real-time synchronization saving your customers time and effort in building hundreds of custom ETL jobs.

Our service offering includes facilitating the availability of your data products or Model Libraries on the Databricks Marketplace. We guide and support the entire process, from conceptualization through build to listing, ensuring seamless integration and visibility for your data product with utmost security.