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How to Simplify Event Driven Architecture with Data Wrangling

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Riaz Mohammed
Push Technology, CTO

Riaz Mohammed is Chief Technology Officer at Push Technology. He is an astute and resourceful Technology leader with more than 20 years’ experience in the IT industry providing solutions to various industries including Banking and Finance, Utilities, Transportation, Automotive, and Government. At the start of his career, Riaz was a core technology developer for Tier 1 banks including Deutsche Bank, JP Morgan Cazenove and Nomura, before transitioning to delivering solutions in Big Data and Streaming Analytics for leading providers such as Software AG and Hazelcast.  In his current role, he  leads a high performing team of Solution Architects/Pre-sales that shapes thought leadership, product positioning, messaging, streamlining processes, resource planning, and crucially delivers solutions which provide value and growth  

This talk will highlight how an Intelligent Event Data Platform, with easy data consumption, low-code data transformation capabilities, and reliable, efficient data distribution, enables organizations to accelerate innovation and deliver game-changing, real-time applications to market faster, while significantly reducing the cost of software development and ongoing operations.

As data has become the currency of competitive advantage, Data Wrangling is a requisite for event driven architectures. Data Streams often require transformation and enrichment for optimized and often hyper-personalized, data delivery to a potentially millions of Web/Mobile/IoT applications. Rich data wrangling capabilities are needed in an event-driven architecture to deliver upon modernization and digital transformation goals. Data wrangling can be the most challenging and time-intensive aspect of application development. Architects are seeking low-code intelligent data platforms to address their data modeling requirements to accelerate application development and bring solutions to market faster.