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Databricks Consulting → Migration

Databricks Migration Consulting

Migrate legacy data platforms and workloads to Databricks with a structured, low-risk approach — from assessment through validated production cutover.

What can you migrate?

Platforms we migrate to Databricks

Snowflake
Snowflake
Talend
Talend
Vertica
Teradata
Oracle
SQL Server
Hadoop
Legacy ETL

Architecture

Source to Lakehouse, at a glance

Legacy Platform
Apache AirflowMigration Layer
DatabricksLakehouse
SQL / BI / AI / ML

Methodology

Migration methodology

01

Discovery

Understand business goals, current systems, and constraints before proposing anything.

02

Assessment

Inventory databases, tables, pipelines, workloads, dependencies and usage across the estate.

03

Architecture

Design the target Databricks Lakehouse architecture, Unity Catalog, and governance model.

04

Design

Define detailed technical design — data models, pipeline patterns, and platform standards.

05

Migration

Move data, SQL, transformations and pipelines in planned, testable phases.

06

Engineering

Build and re-engineer pipelines, jobs, and integrations on the target platform.

07

Validation

Compare record counts, aggregations, business rules, data quality and performance against source.

08

Optimization

Tune file sizes, partitioning/clustering, SQL, compute, and Delta table configuration.

09

Deployment

Move production traffic with a rollback plan and minimal disruption to downstream consumers.

10

Operate

Hand over with documentation and training, or continue under a managed-services partnership.

Scope

What Karsient handles

Data migration

SQL conversion

ETL migration

Pipeline migration

CDC

Data validation

Security migration

Unity Catalog

Performance tuning

Production cutover

Planning a Databricks migration?

Get a Migration Assessment