Mar 15–18, 2020

Executive Briefing: Data is leaving your door—Essentials for embarking on hybrid multicloud journey

Sanjeev Mohan (Gartner)
5:05pm5:45pm Tuesday, March 17, 2020
Location: LL21 D

Who is this presentation for?

Data engineers, data architects, developers

Level

Intermediate

Description

Data is now moving out of the great rift valley and a grand evolution is in progress. Lift and shift provides an easy escape, but you still need to leverage the advancements in new technologies underlying microservices, new development (serverless), and deployment (containers) options. In addition, for compliance needs, common metadata has to be maintained for workloads that may execute across disparate environments.

Sanjeev Mohan walks you through an architectural blueprint for understanding key imperatives to cloud migration. You’ll discover best practices for easing the migration challenges.

On one hand, modern architectures beguile with promises of infinite elasticity and advanced analytics, but they leave technical executives sleepless as they worry about all the strategic and operational challenges. On the other hand, there are a raft of innovations and technologies to evaluate, but you need to sift through the hype and pick the products that have the best propensity to future-proof your investment.

Prerequisite knowledge

  • General knowledge of cloud and data architectures

What you'll learn

  • Identify key focus areas for cloud-based modern data architectures
  • Learn best practices and strategies for migrations
  • Discover successful case studies
Photo of Sanjeev Mohan

Sanjeev Mohan

Gartner

Sanjeev Mohan leads big data research for technical professionals at Gartner, where he researches trends and technologies for relational and NoSQL databases, object stores, and cloud databases. His areas of expertise span the end-to-end data pipeline, including ingestion, persistence, integration, transformation, and advanced analytics. Sanjeev is a well-respected speaker on big data and data governance. His research includes machine learning and the IoT. He also serves on a panel of judges for many Hadoop distribution organizations, such as Cloudera and Hortonworks.

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