Under The Hood Of A Shard-Per-Core Database Architecture

Under The Hood Of A Shard-Per-Core Database Architecture
Most databases are based on architectures that pre-date advances to modern hardware. This results in performance issues, the need to overprovision, and a high total cost of ownership. In this webinar, we will discuss the advances to modern server technology and take a deep dive into ScyllaDB’s shard-per-core architecture and our asynchronous engine, the Seastar framework.
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Spotlight

OTHER ON-DEMAND WEBINARS

Top 7 Capabilities for Next-Gen Master Data Management

Reltio

This session will discuss how the master data management platforms are evolving to meet needs of digital economy. A modern master data management platform incorporates graph technology, infuses insights from the data using advanced analytics and ML, and offer big data scale performance in the cloud. Join this webinar to learn about these and other critical capabilities that power connected customer experience, compliance, and business alignment.
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Practical tools and techniques for building a brand that is trusted with data

In this ODI Inside Business webinar you’ll discover how you can help your business work towards six critical outcomes that together contribute to developing a brand that is trusted with data.
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Applying Hybrid Operational/Analytic Processing (Hoap) in the Real World

MariaDB

The need to monetize data has become a strategic imperative for businesses undergoing digital transformation, whether it’s using data to improve customer engagement, identify compelling opportunities or deliver actionable insight. However, as businesses look to expand revenue-generating, customer-facing applications beyond operational processing to include analytics, they find themselves outgrowing the their transactional database. They need full operational and full analytic capabilities.
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The evolution of analytics: From BI to AI

AVORA

Analytics have come a long way – from data warehousing and manual report building to centralised data in the cloud and machine learning driven analytics. Business Intelligence (BI) tools were revolutionary when they arrived: they made analytics more accessible to the wider business users. Their speedy and powerful analytics provided insights that businesses only dreamt off in the past. But as technology advances, so has the analytics world evolved.
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