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Learn Kyligence Cloud model design principles and how to use Kyligence Cloud to build models.
Learn how to avoid technical debt during cloud transformation by adopting a middle layer to enable the metrics to be reused across dashboards.
Here is a detailed customer case study on how Kyligence helped Strikingly, a website design and development platform, build data products and solve its analytics challenges at the lowest TCO.
Learn how MDX for Kylin, an MDX query engine based on Apache Kylin 4.X allows Kylin users to use Excel to analyze large sets of data.
Learn the fundamentals of Online Analytical Processing (OLAP), the role it plays in big data analytics, and latest trends.
Kylin 4 supports AWS Glue Catalog, making it possible for tables and data to be shared among Hive, Presto, Spark and Kylin.
Learn more about the current status of Hadoop, alternative solutions/replacements, and the future outlook of big data analysis.
Learn about Kyligence's rebranding journey and how it was conducted to embody three fundamental values embraced by the company.
Learn about metrics store and how it can help enterprises achieve metrics reusability, consistency, self-service definition, and scalability.
Learn about the top 7 data buzzwords and the technologies behind them to prepare you for the year of 2022.
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