In the financial industry, the latest big data challenge is to efficiently and cost-effectively migrate existing legacy data warehouses and business intelligence applications to a big data stack and empower business analysts to quickly access and analyze huge datasets within seconds using ANSI SQL and modern BI tools. One common requirement from finance users is a unified analytics layer on top of Hadoop and other data source. The latest version of KAP, Apache Kylin’s enterprise version, introduced a HOLAP (hybrid OLAP) solution, extending Apache Kylin to provide users better performance and experiences, without coding or a learning curve.
Luke Han offers an overview of Apache Kylin and KAP, covering function, performance, concurrency, ease of use, compatibility, and other enterprise features, and shares a case study of how a top finance company migrated to Apache Kylin on top of Hadoop from its legacy Cognos and DB2 system. This system currently serves thousands of users and enables fast reporting and dashboarding in just seconds with high-concurrency and high-volume data.
This session is sponsored by Kyligence.
Luke (Qing) Han is the coounder and CEO of Kyligence, which provides a leading intelligent data platform powered by Apache Kylin to simplify big data analytics from on-premises to the cloud. Luke is the cocreator and PMC chair of Apache Kylin, where he contributes his passion to driving the project’s strategy, roadmap, and product design. For the past few years, Luke has been working on growing Apache Kylin’s community, building its ecosystem, and extending its adoption globally. Previously, he was big data product lead at eBay, where he managed Apache Kylin, engaged customers, and coordinated various teams from different geographical locations, and chief consultant at Actuate China.
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