Achieve Data-AI Synergy with Nsight’s Databricks Consulting Expertise
Nsight is a recognized Databricks consulting and implementation partner, enabling enterprises to unify their data, AI, and analytics ecosystems across cloud platforms. From Delta Lake migrations and MLflow deployments to Unity Catalog governance and Databricks cost optimization, we help clients accelerate outcomes with precision and scale.
Unleash the Power of Databricks
Databricks is a cloud-native platform built for lakehouse architecture, combining the best of data lakes, data warehouses, and AI into a single platform. Backed by Apache Spark, it supports all major languages – SQL, Python, Scala, R – and powers real-time data engineering, collaborative analytics, and scalable machine learning.
Why it matters:
• Built-in support for Delta Lake, MLflow, and Unity Catalog
• Native integration with Azure, AWS, and Google Cloud
• Open architecture for structured and unstructured data
• Enterprise-level scalability with granular governance
Data Challenges We Help Solve
What Sets Nsight Apart
Industry Use Cases Powered by Nsight + Databricks
Manufacturing
• Predictive maintenance with IoT sensor data
• Real-time supply chain analytics and simulation
BFSI
• Fraud detection via behavioural modelling
• Real-time risk scoring with Delta Lake-backed architectures
Healthcare
• 360-degree patient intelligence.
• NLP-driven diagnostics using open-source + Databricks Lakehouse
Nsight for Databricks Excellence
We don’t just deploy Databricks – we architect intelligent, industry-aligned data ecosystems. As your strategic Databricks consulting partner, we offer:
Service Area
Data Lake Modernization
Real-Time Data Pipelines
AI/ML Development
Data Governance
Databricks Cost Optimization
Data Governance
Data Migration
What We Deliver
Migrate from legacy Hadoop/Snowflake to Delta Lake
Stream processing with Databricks Autoloader
Use MLflow, Feature Store, and Lakehouse for production-grade models
Implement Unity Catalog, role-based access, lineage, and auditing
Cluster tuning, DBU consumption analysis, and performance monitoring
Role-based enablement with Databricks Academy learning paths
Migrate data from ERPs and CRMs like SAP, Oracle, and Salesforce into Databricks
Ready to Discuss Your Databricks Roadmap
Let’s start with a no-obligation strategy call. Whether you’re migrating to Databricks or scaling AI with Lakehouse, Nsight ensures delivery that’s fast, secure, and outcome-driven.
Frequently Asked Questions (FAQs)
Databricks is used for real-time data engineering, AI/ML model deployment, and analytics by combining data lakes and warehouses into one unified Lakehouse platform.
Yes. Azure Databricks is a first-party Microsoft service, deeply integrated with Azure ecosystem (Data Lake Gen2, Synapse, ADLS) with native security and billing.
- Data Engineer Associate
- Machine Learning Associate
- Data Analyst
Pricing is based on DBUs (Databricks Units) consumed by clusters and jobs. Nsight helps you reduce DBU costs via cluster optimization and workload analysis.
