Self-service Big Data Analytics on Microsoft Azure


With the ubiquity and innovation from public cloud, big data analytics has moved toward self-service for data engineers, BI analysts, and data scientists. But the challenge still remains of tedious cluster management, troubleshooting and workload forensics for IT. Enter Cloudera Altus for Microsoft Azure. In this presentation Microsoft will join Cloudera to introduce a new Platform-as-a-Service (PaaS) offering that helps data engineers use on-demand cloud infrastructure to speed the creation and operation of data pipelines that power sophisticated, data-driven applications - without onerous administration. Built from the ground up on Microsoft Azure, tightly engineered with its storage and compute cloud services, Cloudera Altus on Azure is the best self-service data management platform for any organization implementing big data projects on Microsoft Azure. Join us to get started right away.

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Add to calendar 2018-05-15 10:00:00 2018-05-15 11:00:00 America/Los_Angeles Self-service Big Data Analytics on Microsoft Azure In this presentation Microsoft will join Cloudera in exploring a dual pronged approach to catering self-service analytics while still delivering on metadata management, security, governance, compliance, optimization and management across multi-function big data analytics workloads. Online Webinar

Featured speakers

Ron Abellera

Azure Cloud Architect, Microsoft

Ron is a Cloud Architect on Microsoft’s Azure Global Black Belt team, working with customers from the CxO level to the technical architects helping them develop strategy, architecture, and a DevOps mindset to solve business challenges with the Cloud.

Tony Wu

Engineering Manager, Cloudera

Tony is an Engineering Manager for Altus Core Engineering team at Cloudera. He leads the team responsible for enabling Cloudera Altus to support Microsoft Azure. Tony also led the development effort for Cloudera Director to support Microsoft Azure.