Tapdata provides a smart data as a service platform that offers: 1) Real-time data collection and synchronization from various sources like databases, files, and streaming data. 2) Data modeling and governance capabilities like data validation, quality checks, and AI-assisted cataloging. 3) Scalable data storage across TBs to PBs of data using a distributed database. 4) A code-less API publishing module to quickly build and deploy RESTful APIs for internal and external users.

1. A Smart Data as a Service Platform

2. Beer On Tap
Fresh beer, ready to serve Real time data, ready to serve
Data On Tap

3. page
03
01 Our Opinion
03 Use Cases
02 Our Product
Table of Contents
04 Customer References

4. page
04
01
Our Opinion
Data is asset
Challenges of data value realization
What is Data as a Service

5. page
05
Our Opinion
Data is asset
DATA == VALUE
Focus on and
measure the
value of your
business data
Consider data
is measurable
corporate
asset
Good directory
management
and definition
Data doesn't
have much
value
Realize data
directly
through
API economy
Gartner report
89% of CEOs believe that data is a measurable and computable
corporate asset, and some even put on their balance sheet. Only 11%
of CEOs consider that data doesn’t add much value.

6. page
06
Our Opinion
Challenge: Data Silos, Governance, and Availability
Don't care where the data
is, how to store it, use it
when you want to use it.
Desirable Scenario Reality Check
Data Data Data Data
Data silos
Cumbersome ETL
Data consolidation
Unable to quickly
realize the value
of enterprise data
assets

7. page
07
Our Opinion
Data as a Service: The Transition From Analytical to Operational
Before
Gain insights via big data analytics
Offline Big Data
Real-time streaming data
Structured data
Unstructured data
Analysis
Analysis
Analysis
Business decisions
Risk control
Customer Insights
Data as a Service
Streaming data
Structured data
Service
Service
Service
Analytical
Model
Unstructured data
Operational
Model
Transaction
Operation
Production
Analysis
Business
innovation
Third-party data
External data
Network data Communication data Credit data Customer data
Sensor data Social media IT/OT Image video
Today:
Enable innovation with operational data service
Business
innovation
Business
innovation
Business
innovation
Transaction
Operation
Production
Analysis

8. page
08
Applications
Data
Middleware
O/S
Servers
Storage
Networking
S-less
Applications
Data
Middleware
O/S
IaaS
Applications
Data
Middleware
O/S
Servers
Storage
Networking
PaaS
Applications
Data
Middleware
O/S
Servers
Storage
Networking
DaaS
Applications
Data
Middleware
O/S
Servers
Storage
Networking
SaaS
Servers
Storage
Networking
Our Opinion
DaaS : The Evolution of Cloud Computing

9. page
09
Our Opinion
DaaS: The Evolution of Data Architecture
Business database 1990s Data lake10sData warehouse 00s
Existing Operational Systems BI report Big data analysis
Current enterprise
data architecture
Operational
Data as a Service Platform 2020s
Mobile/Web Applications Dashboard / Analytics
Enabling
business
Enterprise
Data Architecture
2.0

10. page
010
Our Opinion
A e-Commerce DaaS Architecture (Alibaba )
Data asset
management
Asset analysis
Asset catalog
Asset
governance
Asset
application
Asset operation
Unified Service Layer OneService
Batch Ingestion | Real-time Sync | Streaming | File Collection
Internal User and External User, Mapping, Auth OneID
Data
Development
Data Quality
Model Building
Data Standard
Data
Synchronization
Data
Development
Standard data model for operational consumption OneData
Analytics
Model
Product
Model
Store
Model
Logistic
Model
Customer
Model
Monitoring

11. page
011
02
Tapdata Product
Functional module features

12. page
012
- -
-
- -
-
Code-lessAPIServer
Tapdata platform is a real-time big data service product, designed to help enterprise to accelerate the digital
transformation journey. Tapdata product consists of 4 major components and capabilities:
Data Synchronization and Collection
Data transformation and modeling
Scalable and Flexible Data Storage
Code-less API Server
- /
Synchronization
And Collection
- -

13. page
013
StoreandProcessDataService
Cluster Cluster Cluster
Data
Governance
Security
Charts ServerStreaming
API SQL API Server-lessMongoDB
API
Collection
Bulk Ingestion Service Real-time Heterogeneous Replication
Marketing IOTData
warehouse
CustomerBusiness
database
Streaming data
Data publish
Data sharing
Data
Catalog
Data
modeling
Data
governance
Rules
verification
File system
API backend
App backend
Real-time
Monitoring
BI Report
SQL compatible
Real-time board
Embedded visualization
Server-less Application
RESTful
API
Product Description
Tapdata DaaS Architecture Overview

14. - -
page
014
- -
-
- - - - - -
- - - - - --
- -
- -

15. page
015
Data collection
01 02 03 04
Product Description
Data Collection Features
Log based replication
Agent-less
Automatic
data validation between
source and target
Single node
240GB/hour
Multi-node deployment
Oracle, MySQL
MSSQL, Sybase
Excel, XML,
PDF/Word
Real-time
synchronization
Minimum delay
Data consistency
guarantee
Distributed setup
High concurrency
Multiple data source
Heterogeneous
database support

16. page
016
Product Description
Data Collection Screenshot

17. page
017
Product Description
Data Collection - Create Data Source

18. page
018
Product Description
Data Collection - Job List

19. page
019
Product Description
Data Collection - Job Edit

20. Product Description
Data Governance and Modeling Module
page
020
Data processing
Merge & split
Intelligent Data Governance
Calculation
enhancement
Type
conversion
Data cleaning
Data quality
Rule check
Dirty data
detection
Data rules
Quality
statistics
AI modeling*
Data
Catalog
Tag
Management
AI data catalog*
* Planned feature in future version

21. page
021
Product Description
Data Catalog - Open Data

22. page
022
Product Description
Data Catalog - Data Quality Rules

23. page
023
Mapping Designer The system
automatically recommends mapping based
on the relational structure. Users can also
customize the mapping rules from relational
to JSON structure in an intuitive way, and
provide instant JSON structure preview.
In the future, based on cloud modeling data,
AI technology will be used to automatically
recommend practical models.
Target JSON
Relational tableProduct Description
Relational to Big Data Modeling

24. page
024
Data Storage
Application
Driver
mongos
Primary
Secondary
Secondary
Shard 1
Primary
Secondary
Secondary
Shard 2
…
Primary
Secondary
Secondary
Shard N
… …mongos
Product Description
Scalable Data Storage
HTAP Support
● Support different
workloads in one cluster
● OLTP & OLAP
Multi-mode Database
● Structured, Relational,
XML, JSON
● Semi-structured data,
Log, Text, etc
● Unstructured, PDF,
word, image
Auto-Scale
● TB – PB data volume
● No downtime scale
● Many thousands
concurrent users
● Workload Isolation
● Geographical
Deployment
High availability
● Automatic replication
of data between
cluster members
● 99.999% high
availability
● Active-Active Multi-DC
deployment
Application
Driver
Application
Driver
ConfigServer
Config Server
Config Server

25. page
025
Product Description
Data Publish
Data distribution
Shard1 Shard2 Shard3 Shard4
API DesignerAPI Security
API Monitoring
Process
management*
API Stats
API
Documentation
API
Server
API
Server
Tap
API
DaaS
API
Client
Mobile
application
Data
consumption
Data
Distribution

26. page
026
01 02 03 04
Product Description
Data Publish Module Features
Code less API design
and publish
Auto generate API
documentation and test
portal
Capture all invocation log
and provide detailed
analysis
Deploy on VM or
Container
Instant
API Backend
Documentation
And Test
API Log and
Stats
Automatic deployment
Scale as needed

27. page
027
Product Description
Data Publish - Create API

28. page
028
Product Description
Data Publish - API List

29. page
029
Product Description
Data Publish - Data Explore

30. page
030
Product Description
Data Publish - API Test

31. page
031
Product Description
Data Publish - API Stats

32. page
032
03

33. page
033
Government Open Data
03
• Government is the organization
that produces the most data.
Many departments have different
shape of data, data exchange
and distribution has always been
a challenge.
• With the capabilities of data
collection, mass data storage,
automatic cataloging, fast data
publishing and security, Tapdata
provides a fast data exchange
platform solution.
Relational to NoSQL
01
• Relational databases are facing
scalability and performance
challenges, Tapdata can help to
migrate data from RDBMS to
MongoDB in real time
• Many enterprises adopt dual-
mode IT strategy. Keep the
existing IT solutions unchanged,
but replicating data to a new
platform to embrace new
technology and enable
innovation. Tapdata helps to
connect the two ID mode.
Data as a Service
Platform
02
• Connect the data silos,
consolidate enterprise data using
unified and standard data model,
bridges the gap between data
and value, creating a service-
oriented data platform.
• Tapdata uses real-time data
collection tools to aggregate
data into platform, and provides
RESTful API to application
developers, which greatly
increases the speed of time to
market for new applications
Use Cases
Application Scenarios

34. page
034
API Economy
04
• Data and processes are delivered
in an API manner under the
micro-service architecture, and
more enterprises directly realize
the value of data via API
• The API designer, API automatic
publishing and traffic monitoring
functions of Tapdata provide out-
of-the-box solutions for enterprise
data publishing, which helps
enterprises realize data value
quickly.
IOT Data Center
05
• IOT data has the characteristics
of high frequency, large
throughput, variable data types
and high real-time requirements. .
• Tapdata can provide PB-level
data storage, second-level data
access and analytical capabilities
to meet real-time IoT use case
requirements.
Enterprise Content
Management
06
• The traditional ECM system
based on Filenet has faced the
challenges of insufficient capacity,
slow performance and difficult
backup management.
• Tapdata provides flexible storage
structure based on MongoDB
distributed elasticity and
expansibility, as well as concise
and easy-to-use data import and
complete cataloging
management capabilities, which
perfectly solves the requirements
of storing and managing massive
number of files.
Use Cases
Application Scenarios

35. page
035
04

36. Real Time, Hybrid Replication
RDBMS to MongoDB

37. Scenario Current Situation Tapdata Solution
Difficult to scale, High cost
Difficult to change Core System
Use CQRS, Data Replicate to distributed database,
Develop on it
1. Migrate Relational Data from RDBMS to
MongoDB
2. Batch import for one time/initial sync
3. Real time replication via Tapdata CDC
4. Transform relational schema to MongoDB JSON
5. A ready to use operational data model in
MongoDB
Relational Database of Single instance, difficult to
support Big Data
IoT, new CRM need flexible Data Model
Customer Cases
Relational Database - MongoDB
RDBMS
Migration
Database
Modernization

38. page
038
PDF Web Mobile
EPF CMS (…)
APIs
Tapdata
Replicator
...
APPT
CMS EPR
(…)
Sybase Sybase Sybase
Sybase
Slave
CDC
< 1s delay
MongoDB
MongoDB
MongoDB
MongoDB
MongoDB
MongoDB
Tapdata API Service

39. Finance DaaS
A Local Retail Bank

40. B - / - - - 2 - 0
Real-Time
Data Enquiry
Real-Time
Data Source
Integration
Legacy
Systems
Offloading
Real-Time
Reporting
Data APIs /
Open APIs
Data UX
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41. page
041
Customer Cases
Customer Data Model in DaaS Platform
Basic demographic, socio-demographic
information around the customer,
including internal relationship info with
the bank and external relationship info
with his/she social groups
Personal data
Personal
information
Financial
information
Customer
Behavioral
information
Transaction
data
Relation-
ships
Customer
profile
• Basic personal info
• Health information
• Customer identification
• Channel preference
• Stickiness & frequency
• Channel behavior
• Campaign behavior
• Customer category
• Price sensitivity
• Customer satisfaction
• Risk appetite
• Key events
• Transaction
• Action triggers• Positions
• Margins /
profitability
• Commissions
• Asset products
• Liability products
(on/off balance sheet)
• Insurance funds
• Cards
• AML
• Basel
• Taxation
Products
Credit
risks
Compliance
• Social relationship
• Interest group
• Socio-demographic info
Key Data Domains and Sample Data Categories
Customer behavioral information,
including transaction and interaction
with the bank along all the touch points,
covering RFM (recency, frequency, and
monetary value)
Behavioral data
Customer financial assets with the bank
and potentially outside the bank in the
border ecosystem, including credit & risk
rating, and financial product portfolio
Financial data
• Credit ratings
• Risk score
• Pricing associated
• Guarantees
• Recovery and collections

42. page
042
Customer Cases
Real-time Enquiry and Core System Offloading
Source Data
Data Streaming and
Transform
Data Serving Layer Application Layer Consumer Layer
Real-time
Transaction
Batch
Balance,
Transaction
BDD
ISB SFTP
DaaS
Application
Interface
Mobile Banking
Internet Banking
Call Center
Branch

43. & & & & &

44. page
044
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45. page
045
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46. Government Data Exchange Platform
Shanghai Credit Data Center

47. page
047
Customer Cases
Government Data: Exchange , Open Data, Decision
Current: Data
Island
Phase 1
Data Exchange
Platform(internal)
Phase2
Data Open
Platform(public)
Phase 3
Government
analysis and
decision-making
platform
Data collect Real time replication
Relational data
Non-relational data One collect from all
department
Data governance Data catalog
Storage classification
Data catalog
management
enhancement
Complete data catalog
management
Internal data API
Data sharing
Batch data download API management
Security
Full text index
Innovative application
data API
Part of data
Non-real time data
All data
Real time data
API payment
Data-driven decisions Data mining
Deep learning
AI decision

48. page
048
E
C
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/
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49. Educational Data Development Platform

50. page
050
Video
Resource
Educational
System Data
OA Teacher Development
School
Wechat
Book
Management
Study
Behavior
Analysis
Net Disk Others
Description
Live
education
Basic data from
teacher, student,
parent, school
Regulation
Announcement
application,
Resource
utilization etc.
Teachers’thesis
Editing papers, Open
courses, Lectures,
Teaching competition and
student mentoring
program etc
Wechat API for
various
educational
system
Book borrowing
system.
Purchasing
management
Students’
study
behavior
analysis
system
File
management
service
Educational
Management
system,
Financial
management
system,
Equipment asset
management
system
Applicable
Level
Regional Regional Regional Regional Regional Partial School Partial School Regional
Provincial,
Municipal
Service
Provider
NaJia KeDa WeiWang WeiYan Tencent SiDanMei HaiKang Eisoo ......

51. page
051
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- A single data source for future application
- A complete data source for accurate data reporting
- 5 times faster to build new application
- 10 times faster to generate report

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