Data Governance with Microsoft Purview
How to understand and govern data across your entire data estate
Research predicts that in 2023 data volume creation and consumption will reach 118 zettabytes, up from an estimated 94 zettabytes in 2022. As digital data grows, data governance has become increasingly important for businesses.
Digital transformation has meant many companies are now storing data across a hybrid multi-cloud, distributed data landscape, so it's no surprise many need help implementing and actioning quality data governance.
Microsoft Purview's solutions provide a unified data governance service that helps you manage your on-premises, multi-cloud, and software-as-a-service data.
Reserve Your PlaceWe will be discussing:
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What is data governance, and why do we need it
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Mapping your data landscape using Microsoft Purview
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How data governance will save you time, money, and resources
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What requirements must be met to govern data successfully
Webinar Team
Our Expert Speakers
Client Success Director
Cloud Solutions Architect
Sr Cloud Solution Architect, Data and AI at Microsoft
Alex has been a part of the Jungle IT team since it started in 2004 and her journey with the business has enabled her to develop and drive the importance of client partnership. Forging strong relationships based on honesty and transparency means she can understand an organisation's key business and IT objectives. Built on this solid foundation, she loves to challenge; consistently seeking to improve and innovate our clients through the appropriate use of technology.
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0113 483 0387Helping businesses improve their technology and find solutions that are right for them, Matt has worked with an ever-expanding range of applications over the last 30 years. He has a real passion for Automation, AI, and how technology can make life simpler, especially around employee engagement, governance, and compliance.
Kivinder Bhatia is a Sr Cloud Solution Architect, Data and AI at Microsoft. In her role, she is responsible for building and enhancing Partner capabilities on key data workloads and providing Partners guidance on building their Data Practice and data platform solutions focused on end-to-end data governance and architectural patterns such as Data Mesh and Lakehouse.