Improving Transactional Applications with Analytics

Today, most web and mobile applications are limited to “lightweight” analytics because general-purpose databases can be optimized for transactional or analytical workloads, but not both – and since transactional processing is critical, applications have to compromise on analytics. However, what if an e-commerce application could let customers know which products are soon to be sold out based on clickstream data, shopping carts, current inventory and recent purchases as well as historical buying patterns and emerging shopping trends? In this webinar, attendees will learn how to leverage MariaDB ColumnStore to provide transactional applications with real-time analytics on historical data.
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Spotlight

OTHER ON-DEMAND WEBINARS

Bridge the Cloud Divide with Pure Storage Cloud Data Services

BytesTechnology

Pure Storage have recently launched their Cloud Data Services - a new set of capabilities allowing you to easily embrace a hybrid cloud architecture and ditch the cloud divide. Where once private and public cloud data storage operated in separate worlds, Pure’s Cloud Data Services now bring on-premises functionality to the cloud. Plainly put, all the features, benefits, and advantages of running Pure FlashArray in your datacentre, will soon be available in AWS – with zero compromise.
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3 Critical Skills for Every Accidental MariaDB & MySQL DBA

If you answered YES to any of these questions, this session is for you! There’s never been a more challenging, yet more exciting time to be a MySQL or MariaDB database administrator.
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Securing Mission Critical PostgreSQL Data

Is your team responsible for developing scalable enterprise applications on PostgreSQL databases? Does your company’s current infrastructure lack the ability to recover rapidly from a disaster, data loss, or even a cyber attack like ransomware? Are you looking for industry-leading technologies that can enable fast recovery of mission-critical application data? Is your team measured on recovery point and time objectives for new digital transformation initiatives?
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Real-time Machine Learning: Architecture and Challenges

Fresh data beats stale data for machine learning applications. This on demand webinar discusses the value of fresh data as well as different types of architecture and challenges of online prediction, it will also cover the tradeoffs between latency, staleness, and cost.
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