Big Cloud Solutions for Big Data Challenges in Gaming and Mobile App Development

For any developer, choosing the right compute infrastructure and back-end database is a critically important decision. In this webinar, we'll explore specific challenges that mobile app and game developers face and how the cloud can provide a winning solution. We’ll also explore cloud solutions for big data challenges for MMOG, built-in analytics, online and offline MOG online modes, infrastructure reference architecture, and social network and cross-platform game use cases...
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Spotlight

Aparajeeta Das, Third Eye's Co-Founder & CDO & host of the video channel 'The Big Talk' had a conversation with Cloudera's Co-Founder & CTO, Amr Awadallah about his thoughts & vision about Big Data.


OTHER ON-DEMAND WEBINARS

Data Virtualization: An Introduction

denodo

This first session in a series of six ‘Packed Lunch’ webinars provides an overview of Data Virtualization technology, its applications and how it is adding business value to organizations around the world...
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Steps to Success with Self-Service Analytics - Webinars

Dundas Data Visualization Inc.

Business Intelligence Guru Wayne Eckerson, Founder and Principal Consultant of Eckerson Group, and Troy Marchand, President, CEO and Co-founder of Dundas Data Visualization, discuss the key business and technical steps that are needed to ensure your organization is employing successful self-service analytics.
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GETTING TO THE GOAL OF BIG DATA FASTER: ENTERPRISE READINESS FOR DATA IN MOTION

Hortonworks

Big data projects are only as valuable as their results – and the path it takes to get there isn’t always easy. Join us to learn about enterprise readiness features of Hortonworks DataFlow 2.0 with Ambari and Ranger for integrated installation, deployment and operations of data in motion components for streaming analytics of Apache NiFi, Kafka and Storm.
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Database Strategies for Modern BI and Analytics

Looker

The data universe has changed. Big data, cloud computing, and open source have dramatically expanded the number of data warehousing offerings available to today’s businesses. An increasing number of companies are implementing self-service business intelligence (BI) and visual analytics tools to access and make sense of all of the new and diverse sources of data their teams are consuming. Data literacy is changing equally fast as an increasing number of “data consumers” want to interact with data on their own rather than through IT. With BI and analytics playing an ever more critical role in organizations’ data-driven objectives, firms need to examine whether their current database management approach effectively meets users’ needs.
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