Latest Blogs & Insights
Data Migration: Streamlined Cloud & Platform Migrations
Simplify your move to cloud platforms like AWS, Azure, Google Cloud, Databricks, and Snowflake with our secure, efficient services. We ensure data integrity, compliance, and minimal disruption, leveraging automation to accelerate timelines and unlock advanced analytics and scalability.
Data Engineering: Scalable, Secure Solutions for Efficient Data Management
We provide scalable, secure data solutions across lakes, pipelining, and analytics. Our services ensure efficient data ingestion, transformation, and management with intelligent storage and self-service capabilities. We optimize performance with automated frameworks and AI-driven insights, enabling rapid, actionable business intelligence from petabyte-scale data.
Cloud Engineering: Tailored Solutions for Secure, Scalable Growth
We provide tailored cloud solutions, from resilient architecture consulting to secure data lakes and warehouses. Our services optimize data management, enhance security, and ensure compliance with scalable, cost-effective solutions. With cloud-first strategies and automation, we accelerate your digital transformation and drive growth.
Accelerate Your Databricks Migration with Better Cost Efficiency, Faster Turnaround, and Superior Data Quality
Migrate ETL, EDW, analytics, and Hadoop workloads
Modernizing legacy workloads to Databricks can help enterprises drive the speed, scale, and agility needed to gain a competitive edge. The Databricks Lakehouse Platform simplifies data architecture, breaks down data silos, and provides a single source of truth for data and analytics – while bringing benefits of both Data Warehouse and Data Lakes.
Migrating legacy code and workloads to Databricks poses challenges like business disruption, missing documentation, limited insights into workload dependencies, and the risk of losing essential logic. Ensuring SLAs and cost-effective performance requires careful planning, as manual efforts often lead to costly inefficiencies.
IntellaNOVA ThirdEye services addresses all these concerns by automating workload transformation and providing a faster turnaround in a cost-efficient manner. Our highly skilled team identifies optimization opportunities at schema, code, and execution levels and automatically converts all types of workloads, logic, and workflows to Databricks-native stack in rapid speed with minimum risk.
Key Benefits
How it works
IntellaNOVA ThirdEye team enables end-to-end transformation, operationalization, and transitioning of workloads in six steps:
STEP 1
Assessment & Strategy
STEP 2
Architecture & Design
STEP 3
Data Migration & Transformation
STEP 4
Validation & Automation
STEP 5
Integration & Optimization
STEP 6
Training & Support
Any Legacy Source
ETL and Orchestration
EDW/Hadoop/Database
Consumption/Reporting
ThirdEye
- Assessment & Strategy
- Architecture & Design
- Data Migration & Transformation
- Validation & Automation
- Integration & Optimization
- Training & Support
ETL and Orchestration
Notebook
Live tables
Workflows
Cloude Native Workflows
Data Lakehouse
Dalta lake Live tables
Notebooks
Consumption/Reporting/Analytics
Python
SQL
BI Integration
Affiliate Partner
Customer Proof Points
30% performance improvement by converting Netezza and Informatica to Azure-Databricks stack
140 Informatica ETL scripts transformed using automation and operationalized in 16 weeks
Automated assessment and transformation of Informatica workflows and Oracle EDW to AWS
~80% auto-conversion to save 50% cost and time compared to the manual transformation