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Lower IT Costs with Oracle Database 11g R2

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Competitive advantage? Turn to real-time DB analytics

Databases have long served as the lifeline of the business. Therefore, it’s no surprise that performance has always been top of mind, and the goal is to service all requests as quickly as possible.

But how does a traditional OLTP with analytics compare to an OLTP with in-memory analytics?

In this lab review, learn how the Oracle SPARC M7 processor tested with an in-memory database performance.

Plus, learn about the advanced features that were leveraged, including a columnar compression, and on-chip in-memory query acceleration. 

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  • Real-time analytics, live databases: Improve data accuracy

    Your data is growing in size and value – but when this data lives in subsets of data warehouses, its value and timeliness decrease upon extraction.

    Does your database architecture support accurate decision-making?

    Learn about running real-time analytics on SPARC servers by Oracle.

    Plus, discover the benefits of opting for this method, including:

    • Analysis on up-to-date operational data
    • Greater query flexibility
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  • Data management: Improve your storage architecture

    Most businesses’ IT architectures aren’t set up to handle the deluge of data brought about by the recent surge in connected devices, digital services, social media, and other big data.

    This incompatibility means ballooning costs, damage to the customer experience, and longer times to get new products to the market.

    This best practice guide explains how to conquer this challenge through an information lifecycle management (ILM) plan and examines how combining your ILM strategy with tiered storage architecture can unleash better customer experiences, cost savings, and greater business agility. 

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