Lakehouse Analytics & AI

From ingestion to actionable insights — Triade helps you build modern lakehouse platforms that power analytics, self-service BI, and AI-driven decision-making.

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Data Ingestion

The foundation of every modern data platform. We build robust, scalable pipelines that bring data from any source into your lakehouse — reliably and on time.

Batch & Streaming

Ingest data at any velocity — from scheduled batch loads to real-time streaming pipelines with CDC (Change Data Capture).

200+ Connectors

Pre-built connectors for SaaS, databases, APIs, file systems, and cloud services through Informatica Cloud Data Integration.

Airflow Orchestration

Apache Airflow for workflow orchestration — schedule, monitor, and manage complex data pipelines with full observability.

Landing Zones

Structured landing zones in S3, Azure Data Lake, or GCS with automated quality checks before data enters the lakehouse.

The Lakehouse

We design and implement lakehouse architectures on the platforms that best fit your workloads, data volumes, and organizational strategy.

Snowflake

The Data Cloud — elastic compute, near-zero maintenance, and native support for structured and semi-structured data. Ideal for analytics, data sharing, and AI/ML workloads.

Databricks

Unified analytics platform built on Apache Spark. Best for data engineering, ML/AI workloads, and organizations invested in the open-source ecosystem.

Starburst

Query any data, anywhere — without moving it. Starburst enables federated analytics across data lakes, warehouses, and on-premises systems with a single SQL interface.

Microsoft Fabric

Microsoft's unified analytics platform built on OneLake — combining data engineering, warehousing, real-time analytics, and AI in a single SaaS experience.

Data Products & Data Mesh

Move beyond centralized data teams. We help enterprises adopt Data Mesh principles — treating data as a product, owned by domain teams, and governed federally.

Domain Ownership

Each business domain owns and publishes its data products
Domain teams define quality SLAs and data contracts
Reduces bottlenecks and accelerates time-to-insight

Self-Serve Platform

Infrastructure as a platform — provision pipelines, not tickets
Standardized tooling and templates for data product creation
Observability and discoverability built into the platform

Federated Governance

Global policies with domain-level autonomy
Automated compliance and lineage tracking
Informatica Data Governance for cross-domain catalog and stewardship

Data as a Product

Documented, versioned, and discoverable datasets
Quality-scored with automated profiling and anomaly detection
Consumed via APIs, SQL, or semantic layers — not ad hoc extracts

Business Intelligence & Visualization

We implement and optimize BI platforms that turn your data into compelling visual stories and actionable insights — accessible to every stakeholder.

Tableau

Transform raw data into compelling visual stories with interactive and shareable dashboards. Industry-leading data visualization.

Power BI

Unify data from many sources to create interactive reports and dashboards. Deep integration with Microsoft 365 and Azure.

Looker Studio

Free, cloud-native BI from Google. Connect to BigQuery, Sheets, and 800+ data sources for shareable, interactive reports.

Streamlit

Build interactive, data-driven web applications entirely in Python. Ideal for data science teams and rapid prototyping.

Self-Service Analytics

Empower business users to explore and analyze data without waiting for IT — while maintaining governance and security.

AtScale Semantic Layer

Universal semantic layer that sits between your lakehouse and BI tools
Business users query in business terms — the semantic layer translates to optimized SQL
Consistent metrics and KPIs across Tableau, Power BI, Looker Studio, and Excel
Governed access with role-based security and data masking

Data Community — bridging IT and business users with self-service analytics

Conversational AI & Natural Language Analytics

The next frontier — let your teams ask questions of their data in plain English, powered by LLMs connected to your governed data.

Natural Language Queries — Ask questions like "What were our top 10 products last quarter?" and get instant, accurate answers from your lakehouse
RAG Architecture — Retrieval-Augmented Generation connects LLMs to your enterprise data for contextual, grounded responses
Secure & Private — Your data stays in your environment. No training on your data. Enterprise-grade security and compliance

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How We Engage

Choose the right level of data and analytics capability for your organization, from foundational to fully customized.

Standard

Cost-Efficient Data Solutions

Basic data integration and warehousing
Standard BI tools (Power BI, Looker Studio)
Community support and documentation

Professional

Advanced Analytics Capabilities

Advanced data integration with real-time processing
AI-driven insights and predictive analytics
Email and phone support with SLA

Enterprise

Best-in-Class, Custom Solutions

Custom data architectures with multi-cloud support
Predictive analytics, ML, and conversational AI
Dedicated support team and managed services

Technology Stack

Built on a foundation of best-in-class platforms and tools that power enterprise-grade analytics and AI.

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Lakehouse Analytics connects to every part of your data strategy.

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