1. Kyligence Products Overview Positioning & Features of Kyligence Enterprise Principle & Architecture New Functions
2. Kyligence Enterprise Deployment Environment & Cluster Deployment Configurations & Override Enable HA & LB Use Kyligence Cloud for Cloud Deployment
3. Dementional Modeling & OLAP OLAP Fundamental Data Source Preparation & Import Table Sampling & Cardinality
4. Model & Cube Design Model Design Computed Column Dimensions & Aggregation Groups Auto Dimension Optimization Use of Measures Table Index
5. Cube Building Full Build & Incremental Build Cube Building Process Cube & Segment Management Cube Storage
8. Optimization for Cube Design & Querying Lookup Table Snapshot & Derived Dimension High Cardinality Dimension Rowkey Setting Shard Strategy Cache Mechanism Use Kyligence Robot for Tuning
10. Use Spark Engine Use Spark for Cube Building Use Spark for Querying Key Configurations for Spark & Dynamic Allocation
11. Product Security Control Users & Authentication Project Access Control Data Access Control Integrate with LDAP Integrate with Kerberos
12. Product Advanced Operation, Upgrade & Migration Job Status & Tracking Log Analysis & Diagnosis Metadata Management & Disaster Recovery Garbage Cleanup Hadoop Components Status Trouble Shooting (KB) Product Upgrade Cluster Migration
15. Typical Scenarios & Best Practices Biz Scenarios & Case Study Multiple Fact Tables SCD Segments Merge Strategy Optimization for Count Distinct (Precise)