This document discusses how Kyligence and Tableau can help overcome challenges of big data analytics. Traditional BI faces issues like high costs, lack of scalability and flexibility with increasing data volumes and user demands. Kyligence provides a cloud-native platform that automates modeling, offers sub-second query performance on petabytes of data, and integrates seamlessly with Tableau through a unified semantic layer. This allows for self-service analytics, predictive modeling, and AI-augmented decision making to meet modern analytics needs. The document includes an architecture diagram and demo of the combined Kyligence-Tableau solution.

1. Smashing Through Big Data Barriers with
Tableau and Snowflake
Saikat Basu – Senior Solutions Architect, Kyligence

2. Agenda
Trends in Big Data Analytics
Challenges Faced by Traditional BI
Kyligence + Tableau Solutions
Case Study
Demo

3. © Kyligence Inc. 2021
Greater Innovation
Multi-Dimensional Analysis
Ad-Hoc Queries
Interactive Dashboards
Forecasting Queries
Ever Increasing Demands on Enterprise Analytics

4. © Kyligence Inc. 2021
Greater Innovation
Multi-Dimensional Analysis
Ad-Hoc Queries
Interactive Dashboards
Forecasting Queries
Ever Increasing Demands on Enterprise Analytics
• Reporting
• Dashboard
• OLAP
• Detail Query
• Ad-hoc
• Self-Analysis
• Data mining
• Real Time
• AI / ML

5. © Kyligence Inc. 2021
Data Analysts
Increased Data Volume
More Concurrent Users
More Artificial Intelligence
More Automation
Machine Learned Decision Making
Partners/Clients
Business Users
Analysts Satisfied Users
Only 20% of
requirements
are served
Mgmt.
• Reports
• Dashboards
• Self-Service
• Data Mining
• Self-Service
• Real-Time
• Reports
• Self-Service
Ever Increasing Demands From Analysts/Users

6. © Kyligence Inc. 2021
Augmented
Analytics
Gartner’s 2021 Top
Strategic Technology Trends
From terminal to hand-held -
device agnostic
• Cloud native distributed platform
• Cyber secured
• Location independent
• Resilient and agile
Evolution of Analysis Technologies

7. © Kyligence Inc. 2021
Challenges Faced by Traditional BI in the Big Data Era
$$$
• Long SDLC
• High TCO
• Lack of flexibility
• Lack of scalability
• Limited concurrency
• No elasticity and cloud storage
• Manual effort intensive
• Lack of AI and ML
• Not capable of predictive or
prescriptive analysis
• Slow query performance
• Long development cycle
• Neither agile nor resilient

8. © Kyligence Inc. 2021
360 Degree Single Source of
Truth
Interactive Dashboards
with Real-Time Data Refresh
Business Analytics
Cloud Native
Optimized Pay-Per-Use Price
Cyber Secured
Resilient & Location Independent
IT Infrastructure Data Analysis
Self-Service
Sub-Second Response
AI-Augmented OLAP
Machine Learned Decision
Making
Industry Is Waiting for a New Disruptive Solution

9. © Kyligence Inc. 2021
Kyligence: Flexible & Scalable Architecture
• Easy to install, provision, configure
• Automated cluster formation in the cloud
Automated
Deployment
• Fault tolerant
• Cost-optimized & scalable
Resilient
• Intelligent query analyzer
• Automated modeling & reduced SDLC
AI Augmentation
• Secured SSO, robust RLS
• User & group level ACL
Multi-Tenancy

10. © Kyligence Inc. 2021
Kyligence + Tableau Self-Service Analytics Solution
Fast Query Response Time
• Tableau Live mode for sub-second response
on PB scale data, with high concurrency
AI-Augmented Modeling
• Automates model design and cube building
with the Kyligence algorithm
Self-Service Analysis
• For business users and data analysts
Universal Semantic Layer
• Model is synchronized with Tableau with the
click of a button

11. © Kyligence Inc. 2021
Data Prep ETL Scheduling
Developers
Deposits
TopN
Wealth Mgmt.
Cube
Asset Mgmt.
Cube
Analysts
• Data Preparation
• Model Design
• Model Publish
• Self-Service Analysis
Business
Modelers
Model
Design
Resource
Mgmt.
Self-Service
Analysis
Tableau Server Tableau Desktop
Enterprise
Account Cube
Risk Cube
User
Analysis
Self-Service Analysis
Asset
Analysis
Publish
Self-Service Dashboard Subscription/Share Enhancements
tds tds
SQL SQL
Kyligence + Tableau – Combined Ecosystem

12. © Kyligence Inc. 2021
TDS
Kyligence + Tableau: 3 Steps to Self-Service Analysis
Create Model / Cube Export TDS File Open TDS with Tableau
Download
in one click
• Synchronizes model and semantic definitions with Tableau with the click of a button
• Supports Tableau generated queries
• Reduces time and resource needed to develop BI reports and dashboards
TDS

13. Use Cases

14. © Kyligence Inc. 2021
Tableau
Analysis
Platform
Analysis/Report
Legacy DB
Dashboard
Retail
CRM
B2B
Analysis
OLAP Cube
Hadoop
Migration - Architectural Changes for a Retailer
Architecture Evolution
• From Legacy RDBMS + Traditional BI to
Hadoop + open standard analytic platform
Benefits
• Saved cost significantly
• Fast query response time
• Agile development environment
• Quick and informed business decision
One Stop Info
Mgmt.
Analysis for Retail
Customers
Analysis for
Business
Customers
Data Layer: Migrated from DB to Hadoop
OLAP Layer: From Cognos Cubes to Kyligence
Presentation: From Cognos to Tableau
Migration
Traditional BI
Platform

15. © Kyligence Inc. 2021
Tableau
Analysis
Platform
Cognos
Analysis/Report
DB2
Dashboard
Retail
CRM
B2B
Analysis
Cognos Cube
Hadoop
Migration - Architectural Changes for a Bank
Architecture Evolution
• From DB2 + Cognos Cubes to Hadoop + Kyligence
Benefits
• 90%+ of queries finish in < 2 seconds
• More time-based analysis options (Daily -> Hourly)
• Seamless integration with Tableau
• Improved efficiency with Kyligence’s auto-modeling
• Improved efficiency building cubes on Hadoop
One Stop Info
Mgmt.
Analysis for Retail
Customers
Analysis for
Business
Customers
Data Layer: Migrated from DB to Hadoop
OLAP Layer: From Cognos Cubes to Kyligence
Presentation: From Cognos to Tableau
Migration
Analysis
Platform

16. © Kyligence Inc. 2021
Traditional BI Platform vs. Self-Service BI Platform
Cognos + DB2 Tableau + Kyligence + Hadoop
Cluster Size 11 Cognos Servers + 9 DB2 Servers 40 Hadoop Nodes
HW/SW Cost $Millions $100,000s
OLAP Performance Minutes ~ Hours Seconds
Self-Service
Analysis
Not Supported Supported
Detailed Queries Not Supported Supported
Daily Delta Load
Time
10 Hours 1.5 Hours
Concurrency < 10 100s ~ 1,000s
150 million daily new records, 160+ dimensions

17. Demo

18. © Kyligence Inc. 2021
Data Prep ETL Scheduling
Developers
Deposits
TopN
Wealth
Mgmt. Cube
Asset Mgmt.
Cube
Analysts
• Data Preparation
• Model Design
• Model Publish
• Self-Service Analysis
Business
Modelers
Model
Design
Resource
Mgmt.
Self-Service
Analysis
Tableau Server Tableau Desktop
Enterprise
Account Cube
Risk Cube
User
Analysis
Self-Service Analysis
Asset
Analysis
Publish
Self-Service Dashboard Subscription/Share Enhancements
tds tds
SQL SQL
Kyligence + Tableau – Combined Ecosystem

19. © Kyligence Inc. 2021
 Founded in 2016 by the creators of Apache Kylin
 Enhances Kylin with AI-assisted auto-modeling,
Unified Semantic Layer for leading BI tools
 CRN Top-10 big data startups in 2018
 VCs: Fidelity International, Shunwei Capital,
Broadband Capital, Redpoint, Cisco, Coatue
Kyligence: Kylin + Intelligence
2016
Pre-A
Redpoint
Cisco
2017
Series A
CBC
Shunwei
2018
Series B
8Roads
2019
Series C
Coatue
2021
Series D
SPDB
Top-10 big data startups 2018
Commercial open-source model
Industry recognition

20. © Kyligence Inc. 2021
Kyligence Architecture
Unified Semantic Layer
Multi-dimensional Modeling Security & Governance
Acceleration Layer
Aggregate & Table Indexes
AI Augmented Engine
Any Cloud
Data Warehouse
Data Lake
Streaming Data
Any Data Platform
Any BI Tool
Machine Learning
SaaS & Apps
CRM HCM
SCM
SQL,
MDX,
REST
SQL,
MDX,
REST
SQL,
MDX,
REST

21. © Kyligence Inc. 2021
Experience It Yourself

22. © Kyligence Inc. 2021
Contact Us
Kyligence Inc
 http://kyligence.io
 info@kyligence.io
 Twitter: @Kyligence
Apache Kylin
 http://kylin.apache.org
 dev@kylin.apache.org
 Twitter: @ApacheKylin

23. Thank You

24. © Kyligence Inc. 2021