Architecting a Modern Analytics Cloud Data Platform

 
English Intermediate Analytics

The power of cloud storage and compute power has made data warehousing and big data possible for businesses of all sizes. What was once a large capital expenditure and multi-year implementation can now be deployed and ready to use within minutes and allow any organization to collect, query and discover insights from their structured and unstructured data sources. With tightly integrated services and a user-centric approach, a cloud-native data platform can fit transparently into your business data strategy and leverage already existing and familiar development and management skills. In this session we will look at the main components and reference architectures for building modern analytics platforms that include data warehousing, big data, lakehouse, data mesh and more, with examples using Microsoft Azure. We will talk about ways to integrate with on-premises systems as well as lessons learned from building these Enterprise Data Platforms for multiple clients.

Speakers

Warner Chaves

Pythian Principal Consultant - MS Data Platform MVP

Warner is a SQL Server MCM, Data Platform MVP and Principal Consultant at Pythian, a global Canada-based company specialized in DBA services. A brief stint in .NET programming led to his early DBA formation working for enterprise customers in Hewlett-Packard ITO organization. From there he transitioned to his current position at Pythian, building and managing data solutions in many industry verticals while leading a highly talented team of multi-platform consultants and engineers.

Luan Moreno Medeiros Maciel

Apache Kafka & Apache Spark

Big Data & Cloud Architect/Lead Database Consultant, MCSE Data Management & Analytics, AWS: Solutions Architect: Associate, Microsoft Certified Trainer, Microsoft Data Platform MVP and Speaker. A Lead Database Consultant for Pythian, with more than 9 years of experience working with Microsoft SQL Server, also an avid Brazilian blogger and a constant speaker. Luan Moreno works for global clients to deliver data strategy and cloud solutions as well as speaking at conferences like TechEd, SQL Konferenz, SQL Nexus, TugaIT, DB Tech Showcase, Ignite and SQL Pass Summit. Considered as a “Problem-Solver” in his work, Luan Moreno is an addicted learner that works with Amazon AWS, Microsoft Azure, Microsoft SQL Server, Big Data, Automation, and Infrastructure. Focused on Microsoft Azure and SQL Server, delivering solutions in an IaaS/PaaS model that involves SQL Server, strived to deliver the best data solution based on the client needs and committed to share and collaborate.

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