Power Your Lakehouse with Smart Ingestion

Flash 1.0 is purpose-built to accelerate the ingestion of data from legacy systems, cloud platforms, and enterprise applications into Databricks. It eliminates the need for manual pipelines by automating schema conversion, validation, and optimization in a single flow. With built-in support for Delta Lake formatting and Unity Catalog alignment, the accelerator ensures data is production-ready from the start. Teams can reduce ingestion timelines, minimize development effort, and move confidently toward a modern lakehouse architecture.
Why Choose Flash 1.0 for Data Migration?
Flash 1.0 simplifies ingestion across complex environments by replacing custom development with intelligent automation and modular design. Pre-built connectors support a wide range of source systems, and configuration-driven workflows reduce the need for manual coding. Teams can connect to SaaS platforms, legacy databases, and cloud storage with ease while maintaining full visibility and control over data movement.
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Engineered for Enterprise Ingestion with Data Trek

Developed as the ingestion backbone of Flash 1.0, this component supports both batch and streaming workloads with centralized logging, real-time logging, real-time monitoring, and automated adaptability to schema and workload changes. It eliminates the need for custom scripts and manual oversight, making it a strong fit for enterprise environments moving toward Databricks.

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What You Get with the Code Pilot Framework?

Faster Migrations
Ingest data from Snowflake, Oracle, SQL Server, Teradata, and more using a preintegrated library of connectors built for Databricks Lakehose transitions.
Less Engineering Effort
Replace manual pipeline development with intelligent automation that handles schema conversion, Delta Lake formatting, and Unity Catalog alignment by default.
Production-Ready Stability
Built-in validation, logging, and monitoring ensure ingestion processes run consistently and can scale across high-volume enterprise workloads.
Cost Efficient Execution
Control data frequency, volume, and transformation logic to manage compute costs while meeting SLAs and governance standards.
Flexible by Design
Modular configuration supports incremental modernization, allowing new workflows, data sources, and governance layers to be added without rework.
Built-In Governance
Unity Catalog integration enforces access controls and lineage tracking automatically to support compliance from the start.
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Ready to transform your data journey? v4c.ai is here to help. Connect with us today to learn how we can empower your teams with the tools, technology, and expertise to turn data into results.
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