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Learn the fundamentals of Online Analytical Processing (OLAP), the role it plays in big data analytics, and latest trends.
Learn more about the current status of Hadoop, alternative solutions/replacements, and the future outlook of big data analysis.
Learn about the components of Kyligence Cloud platform that enable it to be a production-ready self-managed distributed computing system.
See how data engineers can leverage the newly launched Data Assets Dashboard to identify the most valuable data, dimensions, and metrics.
Learn about SQL Server Analysis Services (SSAS), an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server.
Learn about the Distributed MDX Engine, an enhanced semantic layer architecture on the cloud, and how it can boost your data analytics.
A detailed step-by-step guide on how to connect Excel to ClickHouse within Kyligence Tiered Storage and achieve sub-second query latencies.
The fact that OLAP software can be utilized to gather these big data insights is proof of its relevancy today. And it will continue to persist because, again, it is rooted in sound theory.
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