Webinar: Cloud-native patterns for Data-intensive applications

Are you interested in learning how to schedule batch jobs in container runtimes?Maybe you’re wondering how to apply continuous delivery in practice for data-intensive applications? Perhaps you’re looking for an orchestration tool for data pipelines? Questions like these are common, so rest assured that you’re not alone. In this webinar, we’ll cover the recent feature improvements in Spring Cloud Data Flow (link to project site). More specifically, we’ll discuss data processing use cases and how they simplify the overall orchestration experience in cloud runtimes like Cloud Foundry and Kubernetes.
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Spotlight

OTHER ON-DEMAND WEBINARS

BIAS & Solara Cloud Case Study Webinar: Accelerate Business Transformation w/ Oracle ERP & EPM Cloud

BIAS Corporation

Looking to accelerate your business transformation? The experts at BIAS hosted a webinar with featured customer, Solara, an Oracle Applications customer, to discuss their accelerated 12-week implementation on Oracle SaaS Cloud, led by BIAS.
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Struggling with Windows or Linux File Shares in the Cloud?

netapp

Moving an established, well-understood file-sharing or home directory environment for your Windows or Linux users into the cloud can cause some sleepless nights. In this on-demand webinar, you'll hear about some ideas to get that sleep back, including how to help users recover from their own mistakes (user error) and how to quickly recover after suffering an attack.With NetApp® Cloud Volumes, users can benefit from Snapshot™ technology, which allows users to recover individual files as well as enables IT staff to recover entire environments, all in a matter of seconds.
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The Role of Cloud Data Storage in Second Generation Multi-Cloud Strategy

This free 1-hour webinar from GigaOm Research brings together experts in cloud computing and data storage, featuring GigaOm analyst Enrico Signoretti and special guests from Wasabi: David Friend, Co-Founder and CEO; David Boland, Director of Product Marketing. The discussion will focus on how to evaluate the data foundation layer to build a successful, second generation.
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Make Big Data Work in the Cloud

As companies shift their Big Data to the cloud and hybrid environments, the need for Big Data analytics and a corresponding long-term analytics strategy has become increasingly critical. Here’s your opportunity to listen to experienced Big Data practitioners articulate their best practices in building successful, long term analytics architectures.
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