Databricks · Data

VMG Labs with Databricks: The Easy Way to Deploy a Data Lake

Johan Booysen Oct 15, 20264 min read

Live in 2 weeks: from first conversation to a working proof of concept on your own data.

Most companies know they need a modern data platform. Far fewer have started building one. The usual reasons are the procurement cycles, the infrastructure planning, the six-figure commitments and the fear of a project that runs for a year before anyone sees a result.

Databricks removes most of that friction. At VMG Labs, we help organizations take advantage of it.

Start in days, not quarters: live in 2 weeks

Standing up a traditional data platform means provisioning servers, sizing clusters, negotiating licenses and hiring specialists before you load a single row of data.

With Databricks, you can have a working environment running quickly:

  • No hardware or infrastructure to buy. The platform runs in the cloud you already use.
  • No long-term licensing commitment to begin. You don't sign up for a large platform spend before you've proven the value.
  • No heavy setup phase. A workspace can be created, secured and connected to your data in days.

That's why VMG Labs can take a pilot from kickoff to a working proof of concept in 2 weeks. In week one we set up the workspace, security and source connections. In week two we build and demonstrate the use case on your data. That changes the question from "Can we justify a big data lake project?" to "What's the first useful thing we can build this month?"

You only pay for what you use

Databricks billing is based on usage. If you're not running workloads, you're not paying for compute.

This matters most at the start. A pilot costs what the pilot consumes, and nothing more. There's no idle capacity and no shelfware. If a proof of concept doesn't deliver, you stop it and the spend stops with it. If it does deliver, you scale it.

For finance teams, that is a far easier conversation than approving a large up-front platform investment.

Serverless compute: no clusters to manage

Serverless compute is one of the most practical reasons to start on Databricks today.

In the past, running analytics or data engineering workloads meant choosing cluster sizes, configuring them, tuning them and watching them. With serverless compute:

  • Compute is available almost instantly. Capacity is provisioned for you when you need it.
  • It scales automatically. Small jobs stay small, and larger workloads get the resources they need.
  • There's no cluster administration. Your team spends its time on data and outcomes, not infrastructure.
  • You pay for the work actually done. That fits well with usage-based billing.

For a pilot, this means a small team can get moving without a platform engineer on day one.

Connect to the systems you already have

A data lake is only useful if your data gets into it. Databricks provides a growing library of ready-made connectors, so you don't have to hand-build every integration. They cover common enterprise databases, SaaS applications and ERP systems, and they let you build pipelines from the sources you already rely on.

In practice, that means your finance, operations, sales and inventory data can flow into one governed platform without a lengthy custom integration project. You can start with a single source, prove the value, and add more as the business sees what's possible.

Why pilot with VMG Labs

The technology is easy to start. Knowing what to start with, and how to build on it, is where experience counts.

VMG Labs works with you to:

  • Week 0: choose the use case. We pick a small, high-value problem, such as a report that takes days to produce, a data silo that blocks a decision, or a forecast you can't currently build.
  • Week 1: stand up the platform. That covers the workspace, security, governance and the connections to your ERP or databases.
  • Week 2: deliver the proof of concept. You see results on your own data, not a slide deck.
  • After that: grow it deliberately. Once the pilot proves its value, we help you scale it into a robust, governed, production-grade solution.

You don't have to commit to a big-bang data strategy. You start small, learn fast and expand on evidence.

Take the first step

Every large data platform that works started as something small that delivered value. The cost and complexity of starting no longer have to hold you back.

If you've been putting off your data lake, a 2-week pilot is the lowest-risk way to begin. Get in touch with VMG Labs and let's choose your first proof of concept.

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Johan Booysen
Written by Johan Booysen Team Lead, Software Engineering, VMG Labs Connect on LinkedIn (opens in a new tab)

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