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Displaying posts with tag: gaming (reset)

Big Fish Selects MySQL Cluster for Real-Time Web Recommendations
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The world's largest producer of casual games has selected MySQL Cluster (http://www.mysql.com/products/cluster/) to power its real-time recommendations platform.

High velocity data ingestion, low latency reads, on-line scaling and the operational simplicity delivered by MySQL Cluster has enabled Big Fish to increase customer engagement and deliver targeted marketing, providing a more personalized experience to its users.

You can read the full Big Fish Games and MySQL Cluster case stud (http://www.mysql.com/why-mysql/case-studies/mysql-cs-bigfish.html)y here (http://www.mysql.com/why-mysql/case-studies/mysql-cs-bigfish.html) - and a summary below

BUSINESS NEED

The global video gaming market is experiencing explosive growth. Competition is intense, and so to differentiate

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MySQL Cluster Powers El Chavo from Playful Play, Latin America’s Most Popular Facebook Game
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Introduction

Attracting over 2m subscribers in just 4 months and growing by 30,000 new users per day, Playful Play needed a database that was able to

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Game Over for NoSQL? Discussing Databases in Online Social Gaming
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According to VentureBeat*, games companies raised a record-breaking $1.54 billion in funding last year and social gaming accounted for over half of that. No wonder everyone wants to have a piece of that pie!

With the arrival of social network platforms, the gaming industry has seen an explosion in casual and social gaming. The social gamer represents a massive audience that cuts across all age, gender and demographic boundaries. Online social games are some of the most demanding applications in the world, with millions of users, stringent response times, complex simulation models and billing requirements. Games take years to develop for a reason ...

Online social games are data-driven applications, and databases are central to these applications. However, there is no single database architecture that will fit the different types of data that the



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