Accelerate Your Data Migration

Migrating to a modern data platform shouldn’t be complicated, risky, or unpredictable. Infinitive, a data and AI consultancy, leverages their industry knowledge and Databricks expertise to help automate up to 80% of migration tasks. This blog will walk through how our accelerators work, and the value Infinitive can bring to your organization to simplify complex migrations, reduce risk, and deliver predictable, fast results maximizing the value of their data and AI investments with confidence.

Business Confidence at Every Step

Data migrations often spark concern such as the unexpected costs, potential downtime and unexpected complexities. The Databricks platform offers multiple options that can help accelerate data migration while giving transparency of where the data is going. Once migrated, business units, whether HR, finance, or operations, see that their new data warehouse returns results as expected every time, driving rapid adoption and trust. To ensure a successful data migration that minimizes risk and disruption, it’s critical to focus on three key best practices that address cost control, data integrity, and business continuity:

• Accurate planning: Predict effort and cost before the migration starts
• Fine-tuned validation: Prove data is accurate and stable at every stage
• Minimize downtime: Migrate in phases to keep teams productive

Databricks Data Migration accelerators

Infinitive utilizes Databrick’s Lakebridge, which is designed to automate the toughest aspects of migration. Legacy SQL and ETL code are swiftly converted for Databricks Lakehouse, with modernization features embedded automatically. This eliminates hours of manual coding and ensures future-proof architecture from day one. Built-in validation checks guarantee consistent, trustworthy results, so teams can confidently use new systems without a hitch.

The Core of Lakebridge – How it works

Databricks Lakebridge streamlines every stage of your migration with four essential components, each designed to reduce risk, increase transparency, and ensure high-quality results.

1. Profiler: This tool connects to your legacy data environment and gathers crucial metadata and workload statistics. It helps quantify the size, complexity, and features used across your SQL workloads. With Infinitive’s expertise, this profiling phase paints a clear picture of your migration scope and expected cost savings, enabling realistic timelines and budgets from the start.
2. Analyzer: Delving deeper, the Analyzer scans your SQL code, stored procedures, and orchestration workflows. It identifies complexity levels and potential migration roadblocks, enabling Infinitive to pinpoint areas requiring special attention. These detailed reports allow clients to proactively address challenges, while also revealing opportunities for modernization embedded within the migration journey.
3. Converter: The powerhouse of Lakebridge’s automation, the Converter transforms legacy SQL and ETL code into clean, Databricks-compatible SQL or notebooks. Infinitive tailors this process to minimize disruptions and accelerate time-to-value, ensuring the new system aligns with your business’s evolving analytics and AI needs.
4. Validation: Ensuring that your migrated data and workflows operate flawlessly is critical. Lakebridge’s built-in validation integrates schema, column, and row-level reconciliation, supported by detailed audit reports. Infinitive augments these capabilities with compliance-driven checks, confirming that data quality, security controls, and regulatory standards (like FERPA, HIPAA, and GDPR) are met before going live.