Your team is resistant to change. How can you convince them of the significance of scalability?
Change can be daunting, especially when it involves the complex world of data architecture. However, as your team navigates the evolving landscape of technology, understanding and embracing the significance of scalability is crucial. Scalability in data architecture means designing systems that can handle increased loads without compromising performance. It's about future-proofing your work so that as demand grows, your systems grow too, without the need for a complete overhaul. This is not just about handling more data; it's about being smart and efficient in managing resources, ensuring that your systems are agile and can adapt to new challenges swiftly.
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Deepa AjishVice President | ServiceNow Transformation & Automation Leader | Security & Compliance | IT Security Strategist | Judge…
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Amit LakheraSolution Architect | AI Enthusiast | Senior Consultant at Ernst & Young (EY)
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TEMANI TEGABWE KAKMOSenior Full Stack Developer | Web & Mobile | DevOps Expert