Kyligence Big Data Blog

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.

Read on to learn the key competencies and critical features to look for when evaluating a semantic layer offering for your BI tool.

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.