Enhance Data Governance with Kyligence Unified Semantic Layer

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This document discusses Kyligence's unified semantic layer, which defines advanced semantic models on data lakes and synchronizes them across BI tools. It provides a single source of truth, increases efficiency, and improves governance. The semantic layer supports complex analysis scenarios and seamlessly integrates with tools like Power BI, Excel, and Tableau. A demo shows how the AI-augmented engine powers data management and supports multiple query interfaces. Kyligence has replaced large systems like Teradata for many enterprises and supports millisecond responses for 100,000 concurrent users.

Data & Analytics

Enhance Data Governance with Kyligence
Unified Semantic Layer
Kyligence
2020.5

© Kyligence Inc. 2019, Confidential.
• What is Unified Semantic Layer
• Kyligence Unified Semantic Layer
• Demo
• Architecture
• Q&A
Agenda

© Kyligence Inc. 2019, Confidential.
Hive Impala Spark SQL Drill
MapReduc
e
Big Data Platform
MPP Data
Warehouse
Data Mart
Tableau Server
RDBMS
Data Mart
SQL Server
Analysis Service
Excel Tableau Desktop
In Memory
Aggregations
Data Mart
Cognos
PowerCube
Cognos
• Siloed Business Logics
• Extra IT Infra/Ops Cost
• Data Latency
• Security
Semantic Layers in BI Tools

© Kyligence Inc. 2019, Confidential.
Unified Semantic Layer
BI Integration Access Control
Enterprise Security
Query Engine Model
Query Platform
Data Sources
Excel Tableau Power BI
Semantic Layer
Cloud DW Parquet ORC
Blob
Storage
CSVSnowflake

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

© Kyligence Inc. 2019, Confidential.
Kyligence = Kylin + Intelligence
• Founded in 2016 by the creators of Apache Kylin
• Built around Kylin with augmented AI, 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

© Kyligence Inc. 2019, Confidential.
Trusted by Enterprises Worldwide

© Kyligence Inc. 2019, Confidential.
Kyligence Unified Semantic Layer
BI Integration Access Control
Enterprise Security
Query Engine Model
Query Platform
Data Sources
Excel Tableau Power BI
Semantic Layer
Cloud DW Parquet ORC
Blob
Storage
CSVSnowflake
Key Features
• Defines advanced semantic models
on the data lake
• Synchronizes semantic models
across BI tools
• Supports multiple query interfaces

© Kyligence Inc. 2019, Confidential.
• Translate technical details
into business terminology
• Many-to-many relationships
• Period-over-period
• Hierarchies / Drill-Downs /
Roll-Ups
• Top-N / Count Distinct
Complex Analysis Scenarios

© Kyligence Inc. 2019, Confidential.
Seamless BI Integration
• Built-in connector for Power BI: Use Live Connection with big data without importing
• Excel Pivot Tables can make a live connection with big data through MDX
• Supports popular BI tools (Tableau, Cognos, MicroStrategy . . .)
Excel Tableau Power BI

© Kyligence Inc. 2019, Confidential.
DEMO

© Kyligence Inc. 2019, Confidential.
Semantic Layer
FinanceMarketing
Sales
Index
AI-Augmented Engine
AI-Powered Data Management For Most Valuable Data
ANSI SQL
MDX
REST

© Kyligence Inc. 2019, Confidential.
Complex Business
Logic
Sync Models to BI
Tools
Multiple Query Interfaces
Centralized Access Control
 Better supports in the big data and cloud environment
 Eliminated duplicated modeling efforts
 Flexible analysis through SQL/MDX/REST
 Reduced risk of security mis-configuration
Value Proposition
 Common understanding for business users across the enterprise
Business Terms

© Kyligence Inc. 2019, Confidential.
Title
Originally built to replace Teradata 3 trillion rows of detail
100,000 concurrent users on
hand-held devices
With millisecond responses
Replaced Teradata
IBM Cognos replacement
From 1,200+ cubes down
to 2 cubes
Complete replacement of Greenplum
eBay Global Top
3 Bank
Top Global
Insurance
Company
World’s Largest
Credit Card
Issuer
Title

© Kyligence Inc. 2019, Confidential.
Thank You!
@Kyligence | #kyligence
Try Free
www.kyligence.io
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With over 450 million customers, Didi (world’s largest rideshare company) conducts complex user behavior analysis on huge datasets daily. Exact Count Distinct is one of Didi’s most critical metrics, but it is known for being computationally heavy and notoriously slow. The difference between exact Count Distinct and approximate Count Distinct can cost Didi millions of dollars. In this talk, Kaige Liu of the Apache Kylin project will explain how Didi uses Apache Kylin to return exact Distinct Count on billions of rows of data with sub-second latency to generate the most accurate picture of its business. You will also learn about the latest development in modern OLAP technologies. Kaige will share how Didi and Truck Alliance (a truck-hailing company that processes $100 billion worth of goods yearly) use Apache Kylin to power their analytics platforms that allow 100s of analysts to achieve sub-second latency on petabyte-scale data.

SF Big Analytics Meetup - Exact Count Distinct with Apache Kylin

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Open Source Technologies in the Analytics Revolution

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Boston Institute of Analytics

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