From Messy Legacy Systems to a Unified Data Lake

If you've ever worked with old systems, you know the pain: data scattered across different sources, different formats, and no single source of truth. The goal is simple — bring it all together into one clean data lake. The journey usually has two parts:

Data Migration

This is the one-time lift. You take a dump of existing data (JSONs, SQL files, whatever's lying around), map it to a new schema, clean it up, and migrate. Think of it as spring cleaning — tedious but straightforward. Depending on how messy things are, this can take anywhere from 3 to 8 weeks.

Now comes the trickier part — keeping the lake fresh every day. There are two main ways to do this:

Streamlining the ETL pipelines and creating a single-source-of-truth datalake is super essential for any company as they optimise, scale, and adapt to the latest technological changes.

ToyStack has done this time and again with clients across industries — helping them unify messy data, streamline their ETL pipelines, and build reliable data lakes.