Advancing Analytics

OCTOBER 4, 2023

Earlier today, Advancing Analytics and our Data Lakehouse Accelerator, Hydr8, were announced as launch partners to Databricks’ new Brickbuilder Accelerators program. To learn more about Hydr8 or to schedule a demo, visit our dedicated Hydr8 page here: [link]

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Advancing Analytics

JULY 17, 2023

That’s why we developed one of our core offerings: the Hydr8 Data Lakehouse Accelerator. The Hydr8 framework enables the deployment of best-in-breed Data Lakehouse at speed, tailored to your situation and supported by our team of Lakehouse, Azure and Data Engineering experts.

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Advancing Analytics

JANUARY 23, 2023

Data Lakehouse made easy Rapid lake hydration with Hydr8 When it comes to leveraging Artificial Intelligence (AI) and Machine Learning (ML) to boost business growth, it's important to have the right architecture in place. This can help the company to make more informed decisions about stock levels and avoid costly mistakes.

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Advancing Analytics

AUGUST 4, 2023

Lighthouse - the Luminate accelerator was built on top of our Lakehouse platform accelerator, Hydr8, more information on Hydr8 can be found on the Azure Marketplace or inside our blog on how Hydr8 is compliant with the Azure Well Architected framework patterns.

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Advancing Analytics

FEBRUARY 9, 2023

And…If none of those take your fancy, we’ve incorporated, as part of our Hydr8 Framework, a series of checks which can be applied to data as it moves between the data layers to either logically reject (flagging that the quality isn’t right) or physically reject (quarantining the data in a separate layer) rows that don’t meet standards.

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Advancing Analytics

JULY 27, 2022

During previous engagements, Advancing Analytics designed, built, and implemented the current data lakehouse platform utilising the Hydr8™ framework. The client were looking for a solution to automate the report generation with the use of their existing data lakehouse infrastructure.

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Advancing Analytics

JANUARY 3, 2024

It is a single-node DataFrame library, and will certainly struggle to support distributed computation workloads that are typically handled by Spark or similar libraries (if its distributed compute you’re looking for, consider checking out Hydr8, our Databricks-powered solution accelerator! ).

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