Ship Production-Ready
Data Platforms in Weeks

Skip months of trial and error. Deploy enterprise-grade data platforms with pre-built infrastructure, automated pipelines, and built-in governance.

4-6 Weeks
to production
Pre-Built IaC
Terraform ready
70% Faster
vs DIY build
Battle-Tested
production ready
Choose your platform ↓Why accelerators?What's included?

Accelerators

Pick the launchpad that matches your cloud reality

Every accelerator ships with automation, governance, and FinOps baked in—just plug into your stack and move.

Coming Soon
Amazon Web Services (AWS) cloud platform
AWS - Databricks LakeHouse data platform technology

AWS - Databricks LakeHouse

Medallion architecture on S3 with Delta Lake, Unity Catalog, and Spark-based analytics

Bronze layer: Raw data ingestion from diverse enterprise sources
Silver layer: Cleaned & validated with Delta Lake ACID
Gold layer: Business-ready aggregates & metrics
Unity Catalog for centralized governance
Coming Soon
Amazon Web Services (AWS) cloud platform
AWS - Snowflake Warehouse data platform technology

AWS - Snowflake Warehouse

Elastic compute with auto-scaling, zero-copy cloning for dev/test environments, and secure data sharing capabilities

Virtual warehouses with auto-suspend/resume
Extensive catalog of data connectors
Snowpipe for continuous micro-batch loading
Zero-copy cloning for dev/test environments
Coming Soon
Microsoft Azure cloud platform
Azure - Databricks Lakehouse data platform technology

Azure - Databricks Lakehouse

Delta Lake on ADLS Gen2 with native Azure integration, Unity Catalog governance, and Spark-based analytics

Databricks on Azure with Delta Lake foundation
Native integration with ADLS Gen2 & Azure services
Medallion architecture (bronze/silver/gold zones)
Unity Catalog for cross-cloud governance
Coming Soon
Amazon Web Services (AWS) cloud platform
AWS - Redshift Warehouse data platform technology

AWS - Redshift Warehouse

Massively parallel processing with Redshift Spectrum for querying S3 data lakes and columnar storage optimization

Columnar storage with zone maps & compression
Distribution keys for optimal data placement
Sort keys for query performance tuning
Concurrency scaling for unlimited users
Coming Soon
Microsoft Azure cloud platform
Azure - Fabric OneLake data platform technology

Azure - Fabric OneLake

All-in-one SaaS platform with OneLake storage and Direct Lake mode for Power BI

Single SaaS data lake for all Fabric workloads
Automatic shortcuts for data virtualization
Direct Lake mode for Power BI (no import/cache)
Open Delta format for interoperability
Coming Soon
Amazon Web Services (AWS) cloud platform
AWS - Athena DataLake data platform technology

AWS - Athena DataLake

Serverless SQL on S3 with pay-per-query pricing, Parquet optimization, and zero infrastructure management

SQL queries on S3 data lake with zero servers
Parquet/ORC columnar formats for significant performance gains
Partition pruning for cost-optimized queries
Federated queries across RDS, DynamoDB & S3

From Selection to Production

Our streamlined process takes you from platform selection to production deployment with full team enablement.

1

Discovery

Kickoff Sprint

Assess your requirements, data sources, and cloud environment

Key Deliverables
Platform selection and architecture review
Requirements gathering workshop
Technical stack alignment
2

Bootstrap

Infrastructure Build

Deploy infrastructure as code and configure environments

Key Deliverables
Terraform deployment (VPC, S3, IAM, platform)
Multi-environment setup (dev/staging/prod)
Network security and encryption
3

Customize

Solution Hardening

Configure data pipelines, connectors, and governance policies

Key Deliverables
Data source connectors and pipelines
Governance rules and access control
CI/CD workflows and testing
4

Launch

Go-Live & Enablement

Training, documentation, and production go-live

Key Deliverables
Team training and workshops
Comprehensive documentation
Production deployment and monitoring setup

DIY Build vs Our Accelerator

Compare the reality of standing up a modern data platform from scratch with adopting DataYantra's accelerator playbook.

DIY Build

Speed to First Outcomes
Quarter-long discovery cycles before anything ships.
Team Focus
Analytics backlog stalls while platform infrastructure consumes the team.
Platform Quality
Patterns emerge ad hoc; controls bolt on later under pressure.
Scale & Expansion
Each new data domain requires bespoke connectors, testing, and orchestration.

Expect prolonged design debates, context switching, and uneven standards before the first production release.

Our Accelerator

Recommended
Speed to First Outcomes
Launch a governed MVP in 4-6 weeks with proven templates.
Team Focus
Client teams stay focused on analytics and product outcomes while we handle the platform.
Platform Quality
Reference architecture with security, governance from day one.
Scale & Expansion
Modular patterns let you onboard new sources and workloads without rework.

Delivered with reusable blueprints, automated guardrails, and hands-on coaching until your team owns the platform.

What's Included in Every Accelerator

Pre-built Terraform modules for infrastructure as code (VPC, IAM, S3, compute)
Automated data ingestion pipelines with reusable connector patterns
Medallion architecture implementation (Bronze/Silver/Gold layers)
Enterprise governance with Unity Catalog, RBAC & access controls
Data quality validation with Great Expectations integration
CI/CD workflows with GitHub Actions for automated deployments
Cost optimization: auto-scaling, spot instances, lifecycle policies
Data lineage tracking and audit logging for compliance
Pipeline orchestration with Delta Live Tables / Airflow / Step Functions
Monitoring dashboards with CloudWatch / Datadog / Grafana
Security best practices: encryption at rest & in transit, KMS integration
Multi-environment setup (dev, staging, production) with promotion workflows
Error handling & retry logic with dead-letter queues
Schema evolution and change data capture (CDC) patterns
Performance optimization: partitioning, clustering, indexing strategies
Documentation: architecture diagrams, runbooks, API specs
Team training sessions and knowledge transfer workshops
Sample datasets and reference implementations for quick start

Ready to Transform Your Data Infrastructure?

Partner with DataYantra to build scalable, reliable, cost-optimized, and secure data platforms. Let's discuss how we can help you achieve your data infrastructure goals.

  • Scalable architecture designed for growth
  • High availability with automated failover
  • Cost optimization through FinOps practices
  • Enterprise security & compliance ready
  • Performance-optimized query processing
  • Focus on measurable business outcomes
Free Architecture Consultation
Get Your Free Architecture ReviewView Our Services
Or reach us directly
contact@datayantra.com.au