DatabricksOur long standing partnership with Microsoft -

Over the years we've worked with all forms of Microsoft data platform products - we're excited to see it all come together under Fabric! Whether it's data engineering with ADF, modelling on OneLake and Synapse Warehouse, real-time event processing, or dashboard building - we're your go-to partner!


Microsoft's Fabric is a single, AI-powered platform that reshapes how you access, manage, and act on your data. It is a full suite of Microsoft services that includes Data Engineering, Data Factory, Data Science, Data Warehouse, Databases, and Real-Time Analytics based on Power BI, Azure Synapse Analytics, and Azure Data Factory. When you are ready to take advantage of this customized user experience, we're your go-to partner.

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A Team of Proven Consultants

Our global Microsoft experts will help you create the data strategy you need, implementing in the unified OneLake platform. We are a trusted service partner with highly skilled consultants who understands how to help you use your data to drive business outcomes.

We're committed to harnessing the full power of Microsoft to unlock the potential of your data, propelling your business forward.

daabricks

Your trusted advisor & implementation partner

Fabric, although relatively new, comes with a pedigree we all believe in - whether you're an existing Microsoft customer or not, Fabric offers the capability to centralise your enterprise data & AI ecosystem. At Vivanti, we provide comprehensive advisory and implementation services that help you get value out of your data for true business impact. We help you create a data strategy that navigates today's business complexities and is designed for your unique needs. Microsoft Fabric's cloud scalability lets you unlock the full potential of your data while keeping cost efficiency in mind.

Partner with us to unify your data on OneLake and start getting the most out of the suite of Fabric services.

Our Services - What we do

Microsoft Fabric Well Architected Review

Assess and optimize your existing Azure Fabric environment for peak performance.

OneLake Accelerator

Accelerate your journey to OneLake - getting your data integrated and on platform quicker.

ADF Pipeline Design & Build

Our data engineering team have worked for years designing and building on the historical variations of Data Factory.

Real-Time Data Processing

Enable real-time data processing with Delta Live Tables for immediate insights and faster decision-making.

Data Governance and Security with Fabric

Implement robust data governance frameworks and security protocols to protect your data on the various Fabric security engines.

Cloud Data Migration

Seamlessly migrate your data to Fabric with minimal disruption and maximum efficiency.

AI Accelerators with Synapse Data Science

Help you scale your AI activities with governed model management on Fabric.

Fresh from the Academy - Insights from our Team

Experiencing GDG Sydney x Google I/O Extended: A Deep Dive into Innovation

Published
Author
Joie Cao
Consultant

Last Saturday, on a sun-soaked morning, my colleagues and I attended the GDG Sydney x Google I/O Extended event. We met a diverse group of people from various fields and regions, enjoying the chance to network and reconnect with familiar organisers. For those who couldn’t make it to the event, we’ve penned this article to share our experiences and key takeaways. Whether you're a developer, IT professional, or simply curious about the latest tech trends, read on to discover what GDG Sydney x Google I/O Extended was all about and what exciting innovations were unveiled.

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Retrieval-Augmented Generation: A High-Level Overview

Published
Author
Yustyna Klish
Consultant

In the rapidly evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) stands out as a groundbreaking approach to enhancing the capabilities of language models. By integrating information retrieval with advanced generation techniques, RAG systems can provide more accurate, contextually relevant, and informative responses. This article provides a high-level overview of RAG, delving into its architectural principles, the role of word embeddings and vector stores, and the process of preparing and managing data.

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Our offices

  • Sydney
    Level 7, 117 York Street
    Sydney, New South Wales, 2000
  • Melbourne
    Level 27, 101 Collins St
    Melbourne, Victoria, 3000
  • Brisbane
    310 Edward St
    Brisbane, Queensland, 4000
  • New York
    132 West 31st St, 9th Floor
    New York, NY 10001
  • London
    United Kingdom
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