Data migration

Overview

Migrate your data and workloads from your EDW, on-prem SQL Server or Hadoop infrastructure to a modern, scalable platform. Partner with Blueprint to speed up your migration journey and ensure success.

Migration Solutions

Migrate from your on-prem SQL Server

Is your company on 20-year-old on-prem SQL Server architecture? Migrating to a lake house platform, like Databricks Lakehouse on AWS for example, enables you to stop managing servers and scale on demand.

Migrate from Hadoop / HDFS

Go from the unscalable and overly complex Hadoop environment (whether it’s cloud-based or on-prem) to a modern platform such as Azure Databricks Data Lake with modeling done in Azure Data Factory.

Migrate from Redshift/EDW

Redshift can be hard to manage, so migrating to Databricks or Snowflake will help reduce the unnecessary administration needed. Performance-wise, Redshift is most suited for SQL-based Business Intelligence use cases whereas Databricks, for example, is built for big data and ML capabilities as well as high-performance SQL queries.

Your platform on your cloud of choice

Recognized by industry leaders

We are a preferred migration partner as well as a general-purpose consulting partner with Databricks and are a Gold-Certified Microsoft Partner.

Ready to migrate?

Our data engineering and operations teams are best-in-class. Whether it’s a lift-and-shift, replatform or refactoring, we are here for you. We’ve done migrations of all shapes and sizes.

Migrations the Blueprint Way

Our (n+1) modernization approach bridges the gap between core business requirements and next-gen functionality. We fuse consistent methodologies with accelerators and Spark expertise to optimize your journey.

Blueprint combines holistic business strategy, data management, and engineering expertise to provide a fast, dependable migration solution.

Phase 1

Plan

Complete a Course of Action Assessment with our Business Analyst team.

Receive future state process recommendations and architecture
Receive a roadmap with scope, objectives and deliverables
Review an implementation plan

Phase 2

Build & Migrate

Build the pipelines to migrate data and workflows.

Provision resources for optimal deployment with performance, scale, redundancy, and disaster recovery
Ingest data into target environment

Phase 3

Validate

Usability is the biggest measurement of success, so business adoption is paramount.

An iterative migration strategy means we get continuous end-user feedback
Validate service durability and scalability as well as user acceptance
Develop new data-driven apps and cut-over existing functionality

QuickStart

Get up and running in as little as 8 days. This program is intended for new Databricks and Azure users. Here’s an example of timeline…

Day 1

Identify end-user goals and a quick Lakehouse 101

Day 2-3

Blueprint Accelerators are leveraged to provision and implement

Day 4-8

Complete two full data pipelines, build transformations, schedule data set creation

Interested in learning more? Download the PDF