Get your roadmap to unmatched query performance and streamlined self-service analytics with Tableau on big data. This presentation will keep you up to date with the latest and greatest approaches to enhancing query speeds, scalability, and self-service on Tableau. Learn more here: https://kyligence.io/partners/tableau-software/

1. Delivering Instant Self-Service
Analytics with Tableau on Big Data
Saikat Basu
2020.4

2. © Kyligence Inc. 2019, Confidential.
Agenda
Trends in Big Data Analytics
Challenges Faced by Traditional
BI
Kyligence + Tableau Solutions
Case Study
Demo
Who We Are

3. © Kyligence Inc. 2019, Confidential.
Business Use Case
• Storm season was almost over when a very late forecast came - within a few days a massive cyclone would hit
• Would impact 8 states in the South and South-East
• Largest retailer in the country stocked a ton of appropriate inventory in 100s of stores
• Most of these items sold out
• On the day of the storm, retail management struggled to make discount decisions on the storm inventory
• Their goal was to sell out to avoid carrying the cost later

4. © Kyligence Inc. 2019, Confidential.
Apache Kylin
Top Level Apache Project
 The only open source OLAP on
big data platform
Best Open Source Big Data Tool
 InfoWorld’s Bossies (Best of Open Source
Software Awards) in 2015 & 2016
Sub-Second Interactive Query
 Large scale, high concurrency, sub-second
query latency, multi-dimension
1,000+ Organizations
 Adopted by thousands of organizations
globally

5. © Kyligence Inc. 2019, Confidential.
Kyligence = Kylin + Intelligence
• Founded in 2016 by the creators of Apache Kylin
• Built around Kylin, with augmented AI and enhanced to deliver
unprecedented enterprise analytic performance
• CRN Top-10 big data startups in 2018
• Global Presence: San Jose, Seattle, New York, Shanghai, Beijing
• VCs: Fidelity International, Shunwei Capital, Broadband Capital,
Redpoint, Cisco, Coatue
Accelerate Critical Business Decisions with AI-Augmented Data Management and Analytics
2016
Founded Pre-
A
Redpoint
Cisco
2017
Series A
CBC
Shunwei
2018
Series B
8Roads
2019
Series C
Coatue

6. © Kyligence Inc. 2019, Confidential.
Trends in Enterprise Analytics in the Big Data Era
#1
More
Requirements
Static Reports
Multi-Dimensional Analysis
Ad-Hoc Queries
Detail Queries
• Reporting
• Dashboard
• OLAP
• Detail Query
• Ad-hoc
• Self-Analysis
• Data mining
• Real Time
• AI / ML
Gartner Analytics Ascendancy Model

7. © Kyligence Inc. 2019, Confidential.
#2
Data Analysts
More Users
More Artificial Intelligence
More Automation
Partners/Clients
Business Users
Analysts Satisfied Users
Only 20% of
requirements
are served
Mgmt.
Data Users and Their Behavior
1 Management
2 Data Analysts
3 Business Users
4 Partners/Clients
 Reports  Dashboard
s
 Self-
Service
 Data
Mining
 Self-
Service
 Real-Time
 Reports Self-
Service
Ever Increasing Demands From User Groups

8. © Kyligence Inc. 2019, Confidential.
#3
Augmented
Analytics
Gartner’s 2019 Top 10
Strategic Technology Trends
Evolution of Analysis Technologies

9. © Kyligence Inc. 2019, Confidential.
Challenges Faced by Traditional BI in the Big Data
Era
$$$
• Cost is hard to control
• Not enough budget for growth
• Very high TCO
• Old, hard-to-expand architecture
• Limited concurrency
• No elasticity and cloud storage
• Does not support interactive
analysis
• Difficult to get values from data
• Slow query performance
• Long development cycle
COMPUTE
STORE

10. © Kyligence Inc. 2019, Confidential.
Industry Is Waiting for a New Disruptive Solution
Data Analysis
360 Degree Single Source of
Truth
Interactive Dashboards
with Drill-Down Capabilities
Self-Service
Interactive Analysis
Multi-Dimensional Analysis
AI-Augmented OLAP
Sub-Second Response
Hybrid Cloud Model
Optimized Pay-Per-Use Price
State-of-the-Art Technology
(SPARK)
Enterprise-Scale Data Lake
Business AnalyticsIT Infrastructure

11. © Kyligence Inc. 2019, Confidential.
Kyligence’s Flexible & Scalable Architecture
Fault tolerant, cost-optimized infrastructure
High concurrency, high performance, sub-second
response
Easy to deploy, automated cluster formation on the
cloud
Single
Bootstrap
Node
Secured, isolated multi-tenancy platform
Load Balanced
Cluster
Read-Write
Separation
Multi-Tenancy

12. © Kyligence Inc. 2019, Confidential.
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

13. © Kyligence Inc. 2019, Confidential.
Kyligence + Tableau – Combined Ecosystem
Data Prep ETL Scheduling
Developer
s
Deposits
TopN
Wealth
Mgmt. Cube
Asset Mgmt.
Cube
Analysts
 Data Preparation
 Model Design
 Model Publish
 Self-Service Analysis
Business
Modeler
s
Model
Desig
n
Resource
Mgmt.
Kyligence
Self-
Service
Analysis
Tableau Server Tableau Desktop
Enterprise
Account
Cube
Risk Cube
User
Analysis
Self-Service AnalysisAsset
Analysis
Publish
Self-Service Dashboard Subscription/Share Enhancements
tds tdsSQL SQL

14. © Kyligence Inc. 2019, Confidential.
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

15. Use Case

16. © Kyligence Inc. 2019, Confidential.
Tableau
Analysis
Platform
Analysis/Repor
t
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
Migratio
n
Traditional BI
Platform

17. © Kyligence Inc. 2019, Confidential.
Tableau
Analysis
Platform
Cognos
Analysis/Repor
t
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
Migratio
n
Analysis
Platform

18. © Kyligence Inc. 2019, Confidential.
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

19. Demo

20. Thank You!
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@kyligence
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