This presentation provides basic information about what is CDAP (Cask Data Application Platform) and it's unique value proposition.

1. What is CDAP ?
Unified Platform Built Around your Data
Nitin Motgi
@nmotgi
nitin@cask.co

2. What is CDAP?
Runtime
A unified platform for
building integrated data analytics tools and applications and
delivering specialized frameworks and solutions that
enable enterprises to extract value from data
APIs Tools Frameworks Market

3. 3
What’s the value of CDAP - Technology ?
• Increased Innovation and Faster Delivery — Support agility in delivering new
data analytics solutions to the business on a stable, performant and extendable
platform with simple to use APIs and inter-connectivity.
• Build-Once-Run-Anywhere — Deliver environment agnostic data solutions for
Public Cloud, Private Cloud and On-Premise through unified platform abstraction
for infrastructure.
• Reduced cost of integration — Pre-built integration with Enterprise and Cloud
Technologies — Security, MDM, Scheduler, Monitoring, etc.
• Separation of Logic, Data and Infrastructure — Separation of concerns (SoC)
provides simplicity, extensibility, stability, and number of residual benefits for
building complex manageable data analytics solutions.

4. 4
• Address New Market Needs, Create New Revenue Streams — Deliver new
specialized frameworks, tools and application for big data and cloud on a unified
platform
• Reduce cost of Innovation with increased Agility — Deliver new version of
solutions faster to businesses as the focus is on innovation and not on integration or
infrastructure
• Increase addressable Market — With it’s ability to run on Public, Private and On-
Premise the solutions can be delivered anywhere the business needs.
• Increased Operational Efficiency, Reduced Cost — Reduced day-to-day
dependency on IT with increased governance improves the overall efficiency of
delivery data insights.
What’s the value of CDAP - Business ?

5. 5
Dataprep — Framework
Data Pipeline — Framework
• Data Preparation for on-boarding new sources and datasets.
• Perform Data Transformations, Data Quality checks with visual
feedback.
• Extend the Dataprep by building new user defined directives.
• Integrates with Data Pipeline for operationalizing transformations
• User interface for building complex data workflows
• Join, Lookup, Aggregate, Filtering data in-flight
• Building complex workflows with 100s of connectors
• Extend Data Pipeline using simple APIs
• Integrates with Dataprep, Rule Engine and Metadata Aggregator
Pre-Built Tools and Frameworks

6. 6
Rules Engine — Tool*
Metadata Aggregator — Tool
• Business Data Transformations and checks codified for business users
• Define Complex rules using intuitive and simple to use user interface
• Logically group Rules in Rulebook and trigger or schedule
processing.
• Integrates with Data Pipeline for operationalizing Rules.
• Aggregate Business, Technical and Operational Metadata
• Track the flow of data (Lineage) for richer data needed for governance
• Create Data Dictionary and Metadata Repository
• Integrate with enterprise MDM solutions.
• Integrates with Data Pipeline, Rules Engine
Pre-Built Tools and Frameworks

7. 7
Microservice — Framework*
Event Condition Action (ECA) — Application
• Build specialized logic for processing data
• Create loosely coupled network for processing events
• Bind processing to varied set of queues
• Delivers a specialized solutions for IoT event processing
• Parses any events, triggers conditions and executes Action.
• Real-time notification system, with easy-to-use user interface for
configuring event parsing, condition and actions
Pre-Built Tools and Frameworks

8. 8
Empower Business
Users
On-Board New
Data Sources and
Types
Integrate with
Cloud and
Enterprise
Ecosystem
Build Data
Processing
Workflows
Integrate
Machine Learning
and Model
Management
Expand and
Customize to build
new Data Analytics
Applications
Data is
your asset
Dataprep
Rules Engine
Data Pipelines
ML Integration
Cloud Connectors + Run on
Public Cloud + Integrate with
existing apps
O
Platform
Automate
Operationalize
IntelligenceIntegration
Extend & Innovate
$$$$
Realizing Value of Data

9. 9
Big Data - Storage and Compute on Cloud and On-Premise
Cask Platform - CDAP
Vendor X
Tool or Application
ECA
A Unified and Portable Integration Platform Built Around your Data
DataPrep Data Pipeline Microservice Rules Engine +
PLT
FTA
SOL
Part of a Solution
Is It’s ability in enabling IT deliver Data and Analytics solutions to the Market and other Businesses faster,
efficient and secured on a hardened platform in Cloud and On-Premise
Data Lake
Anti-Money Laundering
Consumer IoT Analytics
…
OR a Solution
What makes Cask Unique ?

10. 10
CDAP - Core
Cloud or On-Prem Infrastructure
Data
Preparation
Rules
Engine
AI / ML / NLP ECA
Data
Pipeline
CDAP - API
Alerting&Notification
CDC
User Interfaces
OracleGoldenGate,LogMiner
SchemaRegistry
AVRO,Protobuf,COBOLCopybook
MapR, Cloudera, HDP, HDInsight, EMR, GCE, Azure, AWS
• Product Customization
• Universal Consumer
IoT Solution
• Patient Monitoring
• Predictive
Maintenance
• Smart Metering
• Data Lake
• Standardized
Ingestion
• Transformation
• Lookup
• Data Quality
• EDW Offloading
• Clickstream Analysis
• Fraud Detection
• Risk Analysis
• Network
Optimization
• Customer Self-
Service
• Social Media
Analysis
• Content Analysis
• Content Enrichment
• Customer 3600
• Recommendation
• Ad Optimization
• Data Governance
• Metadata
• Lineage
• Data Dictionary
• Schema Management
• HEDIS - for Healthcare
Streaming
3rd Party Apps
OLTP / ODS
Databases
Flat Files
Cloud Sources
Mainframe
Apache NiFi,
Streamsets, MQTT,
MongoDB,
GraphDB
etc
Realtime Queues
Tableau, Qlik
User Interfaces
Databases
Flat Files
Cloud Sources
Hive, Kudu, …
CDAPUsecases
Microservice
Market
RuleBased,ContentTemplate
Solutions,Pipeline,Connectors,Directives
CDAPUsecases
Atlas, Navigator,
Nagios
OSS OSS
Add-On
Add-On
Add-On Add-On Add-On Add-On
MMDS
OSS
OSS

11. To Learn more, go to http://cask.co or
Contact Cask at info@cask.co