IT - Virtual Roundtable

Demystifying Application Modernization

11th October 2021 | 12:30pm - 2:00pm BST
How can we effectively migrate our databases to the cloud?

A Meet the Boss roundtable brought to you by DataStax

In a post-pandemic world, with the acceleration of cloud adoption and modernization, migrating databases to the cloud has become a key strategic business opportunity. In fact, many technology and architecture leaders recognise that as part of an effective digital transformation, real-time data and scalable cloud-native applications are critical. Therefore, modernizing data platforms is now a business priority.

However, data modernization can also present a plethora of technical challenges, from managing fast and large-scale data, to maintaining legacy systems and data platform consolidation. Challenges that can be managed as application modernization is demystified.

So, how can we harness always on, massively scalable data whilst modernizing our data stack? How can we re-platform from legacy databases? And how can we deploy and manage clusters in a hybrid cloud environment?

Join DataStax and a select group of senior thought-leading peers to share experience and best practice in demystifying application modernization, through cloud, fast data, massive scale and data platform consolidation. Discuss this, and so much more, on our Meet the Boss roundtable.

Discussion Topics

How can we leverage faster time-to-market for modern data applications?
How can we consolidate multiple databases?
How can we re-platform from legacy databases?

Your Host

Thought Leader
Patrick Callaghan VP, Partner CTO, DataStax
Patrick Callaghan is the Partner CTO at DataStax. DataStax works with enterprises and partners to implement… Find out more
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About DataStax

DataStax is the open, multi-cloud stack for modern data apps. DataStax gives enterprises the freedom of choice, simplicity, and true cloud economics to deploy massive data, delivered via APIs, powering rich interactions on multi-cloud, open source and Kubernetes. DataStax is… Find out more
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