Organizations that put analytics and artificial intelligence (AI) at the core of their transformation strategy will survive and thrive in the age of digital disruption. To achieve this, a holistic, modern data architecture and a rock-solid information supply chain are critical for success.
Organizations can deliver timely, self-service, democratized data access and analytical insights at enterprise scale by leveraging the innovation design principles of data lakes, scalable and elastic cloud infrastructures, and automated information pipelines. However, many find that these architectures are complex to create, deploy and operate — often resulting in poor performance, unnecessary expense and underutilized assets for the do-it-yourselfers. Transitioning to such architectures from legacy paradigms carries additional difficulty and risk, especially in hybrid environments that can span multiple design patterns and cloud providers.
In this webinar, Clark Bradley, Zaloni solutions engineer, and Alex Gurevich, DXC Technology’s Analytics chief technology officer for the Americas, will present solution designs and representative field-use cases for simplifying and accelerating adoption of a modern, digital data architecture.
Topics to be discussed will include:
- Best practices for migrating from a legacy to a modern data architecture
- Deploying a data catalog in support of data lake architectures
- Data lake architectures for hybrid and cloud environments
- Protecting data assets and privacy without obstructing access