Neo4j Graph Database Solutions
- We help organizations unlock the full potential of their data by integrating it into a cohesive graph structure. This enables businesses to uncover hidden patterns, enhance decision-making, and drive strategic growth.
- Graph Data Modeling: Design optimal graph schemas for performance & flexibility
- Neo4j Implementation: End-to-end development using Cypher and Neo4j APIs
- POC & MVP Development: Build prototypes and minimum viable graph products
- Graph Migrations: Move from RDBMS or other graph DBs to Neo4j seamlessly
- Graph Algorithms & Analytics: Apply PageRank, Community Detection, etc.
- Production Deployment & CI/CD: Automate release cycles for graph systems
- Performance Tuning & Query Optimization: Improve speed and scale of Cypher queries
- Neo4j Training & Enablement: Upskill teams on Neo4j fundamentals and advanced usage
- Visualization Tools Integration: Deploy NeoDash, Bloom, or custom visualizations
- Solution Audits: Review existing graph systems for architecture and performance
Data Engineering Solutions
- Transform raw data into actionable insights with pipelines and Observability on the pipelines.
- ETL/ELT Pipeline Development: Using Python, Apache Airflow, or Databricks
- Data Lake & Warehouse Integration: Connect Neo4j, S3, Redshift, BigQuery, etc.
- API-based Data Ingestion: Real-time or batch pipelines using REST/GraphQL
- Data Quality & Validation Frameworks: Build trustable data assets
- Cloud-Native Pipelines: AWS Lambda, Glue, S3, Step Functions orchestration
- Custom Python Data Services: From data loaders to transformers and enrichment scripts
- Streaming with Kafka or Pub/Sub: Stream updates to and from graph systems
- Graph + Tabular Fusion: Combine structured and connected data for ML readiness
- DevOps & Infrastructure Setup: Terraform, Docker, CI/CD for data workflows
- Monitoring & Observability: Build dashboards for data flow, latency, and failure tracking
AI-Driven Data Analytics
- Transform raw data into actionable insights with pipelines and Observability on the pipelines.
- AI Chatbot Development: Build OpenAI-based chat experiences with Flowise, Botpress, or Make
- Workflow Automation (Make/Zapier): Automate business tasks, reporting, notifications
- LLM Integration & Prompt Workflows: Connect GPT models with Airtable, Slack, CRMs
- RAG Pipeline Setup: Retrieve + generate systems with vector DBs (e.g., Neo4j, Pinecone)
- Custom Internal Apps (Retool/Glide/Softr): Dashboards, CRUD apps, AI-powered interfaces
- Voice/Email Automation Agents: Build AI agents that speak, respond, and summarize
- LLM POCs and Productization: Prototype and deploy AI flows quickly
- No-Code Data Products: Rapid MVPs with tools like Bubble, Webflow + AI APIs
- Training & Consulting: Upskill business teams on no-code AI possibilities
Talent Development Initiatives
-
Career Catalyst Program: We support local talent by offering the "Career Catalyst" program for computer science graduates. This initiative provides real-world experience and software engineering skills, helping students complete their final projects while gaining valuable industry insights.
- Empower local computer science talent through real-world data engineering projects and mentorship.
- Bridge academia and industry with s/w engineering skills tailored for job readiness.
- For comprehensive program details, please visit our dedicated page: Career Catalyst Information.
Ready to transform your data journey?
Contact our India-based team for a free consultation and discover how Data Legos can accelerate your business growth.
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