Cloud Consulting, Cloud Migration & Infrastructure

Ekaa Analytics delivers end-to-end cloud consulting and migration services to help organizations move securely into modern, scalable cloud environments. Leveraging Microsoft Azure, AWS, Google Cloud, and leading data platforms like Databricks, Snowflake, and Microsoft Fabric, we design architectures that power analytics, AI, and data-driven innovation—not just storage.

Our approach minimizes disruption while maximizing ROI, making cloud migration a strategic business enabler. With strong expertise across Databricks, Snowflake, and the Microsoft Fabric ecosystem, we combine cloud infrastructure with advanced data and AI capabilities to deliver future-ready solutions.

From defining cloud roadmaps to executing multi-cloud migrations and optimizing lakehouse architectures, we tailor every engagement to your needs. We assess your current landscape and execute seamless migrations—lift-and-shift, re-platforming, or re-architecting—ensuring a resilient, high-performing cloud foundation for long-term growth.

Cloud Strategy & Architcture Consulting

Readiness Assessments: Deep‑dive analysis of current pipelines, storage, and workloads to determine migration complexity.
Platform Selection: Unbiased guidance on choosing the right mix of AWS, Azure, or GCP, paired with the optimal data layer (Snowflake, Databricks, or Fabric).
Cost & ROI Modeling: Total Cost of Ownership (TCO) forecasting and FinOps strategies to ensure predictable cloud spend.
Security & Governance Design: Building compliance, role‑based access control (RBAC), and data lineage into the foundation of your architecture.

End‑to‑End Cloud & Data Migration

Database & Application Migration: Moving SQL, NoSQL, legacy data warehouses, and enterprise apps (ERP, CRM) to the cloud.
Data Lake & Warehouse Modernization: Migrating legacy on‑prem warehouses to modern cloud‑native solutions like Snowflake and Databricks.
Zero‑Downtime Transitions: Utilizing automated migration factories and specialized tools to ensure high availability and zero data loss.
ETL/ELT Pipeline Redesign: Modernizing brittle legacy ETL pipelines into scalable, cloud‑native data flows.

Modern Data Platform Implementation

Databricks Unified Lakehouse: Setting up Apache Spark and Delta Lake architectures for high‑performance ML and complex data engineering.
Snowflake Data Cloud: Deploying highly concurrent, multi‑cluster shared data architectures for seamless BI, data sharing, and scalable SQL workloads.
Microsoft Fabric & OneLake: Implementing Fabric to unify Synapse, Data Factory, and Power BI. We utilize Fabric’s virtualization and shortcuts to integrate data without physical movement, drastically reducing migration overhead.

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