Strategy and Architecture

Where do you start?

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When formulating your strategy, we like to begin with the end in mind, that is identifying high-value use cases that can deliver tangible business outcomes and benefits. Once identified and prioritised these use cases will inform the implementation roadmap for your Databricks platform.

Want to get the most out of Databricks?

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Once use cases, data flows, and processing workloads are understood, we look at architecting, designing, and configuring your Databricks platform for optimum performance. Our team of certified data engineers have the experience to draw architectures and designs that will set you up for success.

When YOUR BUSINESS NAME was founded in YEAR FOUNDED, we set out to provide the finest auto repair services in the CITY area. We make sure to stay at the forefront of the latest technology while still retaining our knowledge of older cars. No matter the age or make of your vehicle, we know just what to do to get you safely behind the wheel. Each of our technicians receives continuous and in-depth training, which means that they can tackle any problem your vehicle throws at them. At YOUR BUSINESS NAME, you can be sure you’re leaving your car with the best.

Solution Development

Leverage our expertise for faster implementation

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“Everything is easy when you know how to do it”. Our team of data engineers have implemented hundreds of data projects and leveraging their expertise will get you results faster and reduce risk. Our partnerships, design patterns and methodology allow us to avoid common mistakes and deliver predictable outcomes.

Pre-built solutions. Powerful results.

Databricks Solution Accelerators are pre-configured, automated blueprints for common use cases seen by Databricks customers. They include everything from Apache Spark clusters and Delta Lake design patterns to machine learning libraries and tools. This means they're ready to go so you can spend less time building out infrastructure and more time getting results.

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Machine Learning

Getting stuck in hypothesis testing?

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Deploying machine learning models into production is difficult, we get it. Our Data Science team have been deploying models into live business environments for over a decade, combining Databricks and MLflow means you can do it to. Work with us to overcome the hurdles.

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Databricks Tuning

Performance getting a bit sluggish?

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Since being involved in the first and largest Databricks solution in Australia our senior data engineers thrive on getting under the hood and find ways to tune Databricks and its wider eco-system to give our clients more bang for their buck.

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