Cloud Pak for Data - PMsquare
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Hamza A. Ali August 7, 2019 Cloud Pak for Data
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Transcript of Cloud Pak for Data - PMsquare
H a m za A . A l i
A u g u s t 7 , 2 0 1 9
Cloud Pak for Data
2
Disclaimer
Certain comments made in this presentation may be characterized as forward looking. Forward looking statements are based on our current assumptions and understanding regarding future business and offerings. Those statements by their nature address matters that are unsure. Those statements involve a number of factors that could cause actual results to differ materially. Any forward looking statement made during this presentation speaks only as of the date on which it is made and is stated with some degree of uncertainty. We assume no obligation to update or revise any forward looking statements. These slides and the associated remarks and comments are integrally related, and are intended to be presented and understood together.
S u b t i t l e i f n e e d e d
Agenda
- Why Change?
- Cloud Pak for Data
- Micro-Services
- Collect
- Organize
- Analyze
- Infuse
Why Change
Carson Masterson
IBM Data & AI / © 2019 IBM CorporationIBM Data & AI / © 2019 IBM Corporation
COLLECT - Make data simple and accessible
ORGANIZE - Create a trusted analytics foundation
ANALYZE - Scale insights with AI everywhere
Data of every type,
regardless of where it lives
MODERNIZEyour data estate for an
AI and multicloud world
INFUSE – Operationalize AI with trust and transparency
The AI LadderA prescriptive, proven approach to accelerating the journey to AI
6
AI
Data
Analytic
s
90%Low Maturity
Value
Data
Analytic
s
90%Low Maturity
Value
CentralizedData
ReworkManual &
Slow
Data
Analytic
s
90%Low Maturity
Value
CentralizedData
ReworkManual &
Slow
DataVirtualization
Reuse
Analytics Success
Automated & Fast
Cloud Pak for Data
Carson Masterson
Hybrid Data Management
Unified Governance& Integration
Data Science &Business Analytics
• Collect all types of data, structured and unstructured
• Includes all open sources of data
• Leverages a single platform with a common application layer
• Write once and deploy anywhere
• Satisfy all matters of finding, cataloging and masking data
• Integrates fluid data sets
• Delivers built-in compliance
• Leverages advanced machine learning capabilities
• Delivers descriptive, prescriptive and predictive insights across all types of data
• Empowers all your teams and their unique use cases
• Enables advanced analytics and data science methods
Organize Analyze
• Db2 & Db2 Warehouse• Db2 Event Store• Integrated Analytics System• Big SQL & Hortonworks Hadoop
• Information Server• Data Replication • Master Data Management• Optim & StoredIQ
Lead with Capabilities:
Lead with Capabilities:
Lead with Capabilities:
• SPSS & DSX• Cognos & Watson Analytics• Watson Explorer • Planning Analytics
Collect
IBM Data & Analytics Portfolio
1111
Today, we offer
individual products
to Collect, Organize
& Analyze data
IBM Cloud Private for DataDATA
ONE
Information
Architecture
Hybrid Data
Management
Data Science &
Business Analytics
Unified
Governance
& Integration
Cloud AgilityEasily build data-driven apps, Pre-assembled personalized
experiences, Extensible with open APIs
Lightning FastProvision users in minutes, Fast Data ingest speeds,
Fast track projects with industry models
AI-readyMachine Learning everywhere, Makes your data ready for AI
Now simplified into a “single offering” on private cloud
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Cloud Pak for Data
Think 2018 / DOC ID / Month XX, 2018 / © 2018 IBM Corporation
Cloud Pak for Data
Unified platform of foundational Data & AI cloud services
Collect Organize Analyze
Db2 Mongo CognosDb2 ES OSISVDSP Custom
Cloud Pak*
On-Prem
PICK YOUR KUB*included with Cloud Pakd
PICK YOUR CLOUDPrivate or Public
PICK YOUR ADD-ONContainerized Services
AI INSIGHT PLATFORM#1 Ranked by Forrester
•Current State Ideal Future State
• Containerized Platform
• Pre-Integrated & Governed
• Fast Provisioning
• Multiple Disjunct Stacks
• Siloed Data & Workflows
• Slow Provisioning
Micro-Services
Hamza Ali
Think 2018 / DOC ID / Month XX, 2018 / © 2018 IBM Corporation
Container 1
What’s a Microservice?A microservice is a piece of an application that typically does 1 thing and does it well
What’s a Container?A container allows a microservice to be portable
What’s Kubernetes?Kubernetes orchestrates the use of containers to optimize deployment and management of the containers Kubernetes
Container 2 Container 3 Container 4 Container 5
Reporting
Cognos Analytics
Dashboarding
MS1
Container
MS2 MS3 MS4 MS5
IBM Cloud / DOC ID / Month XX, 2017 / © 2017 IBM Corporation
RHOS + Cloud Pak for Data
- Allows the Cloud Pak to run anywhere
-Reduce complexity and increase horizontal scalability.
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The Ladder to AI
Cloud Pak for Data
Cloud Pak for DataFoundational “out of the box” multicloud data & AI services
Powered by: Watson Studio open source FW and Cognos
o Analytical visualizationo Machine learning learningo Model build & deployo Model management o Dashboards
Powered by: Infosphere, Data Stage and IGC/WKC
o Discovery & searcho Data transformationo Data catalogingo Business glossaryo Policies, rules & privacy
Powered by: Db2 and Db2 Warehouse technologies
o Data virtualizationo Data warehousingo Databases on-demando Data source ingestiono Distributed processing
Collect Organize Analyze
Out of the Box iPhone
Hamza Ali
Collect Data
IBM Cloud / © 2018 IBM CorporationA new approach to collecting data
Service
Node
Cluster
Constellation
Caching
Policy
Data Source
Node
AnalyticsApplication
Query anything, anywhere. Query many heterogenous data sources
as one across cloud, on-premise and mobile
with advanced analytics using the most
popular languages and tools
Simplicity and scalability. Automatically discover, and connect
few to many devices and data
stores into a single self balancing
constellation. Avoid the complexity of
centralized copies. Data only persists
at the source.
Execution speedup. Many times acceleration using
the power of every device to
compute and aggregate results.
Security. Fully secure and encrypted
communication and preservation
of data access rights at source.
1
2
3
4
What is fundamentally different?
IBM Cloud / © 2018 IBM Corporation
Classic Federation & Edge Computing
Query
coordinator
Query issued against the system
A coordinator receives the request and fans the work out to edge nodes
Edge nodes individually perform as much work as they can based on their own data. Individual results are sent back to the coordinator for final merging and remaining analytics.
Coordinator receives intermediary results from all edge nodes, merges results, and performs remaining analytics
Query Result
Query issued against the system
A coordinator receives the request and fans the work out to edge nodes
Edge nodes self organize into a constellation where they can communicate with a small number of peers. Nodes collaborate to perform almost all analytics, not only analytics on their own data.
Coordinator receives mostly finalized results from just a fraction of nodes. Completes the final work for the query result.
coordinator
New Computational Mesh
Query
Query Result
Hamza Ali
Organize Data
The path to governed data & analyticsEnabling governed self-service consumption through Cloud Pak for Data
Data Sources
Auto Data Discovery
Profile: Data Classify & Term Assg
Data Curation & Stewardship
Systems of
Record
3rd Party Data
Social Media
News
Systems of
Engagement
Other External
Weather
BI Reporting
Dashboards
Regulatory & Compliance Reporting
Data Quality Management
Machine Learning & Self-Services
Analytics
Documents
Auto Data Quality
Extract, Transform, Cleansing,
Standardize
Metadata Catalog
Define Data Governance Objectives
Measure & Monitor
Enforce (Policies &
Rules)
Intelligent Metadata Catalog (infused with ML)
Shopping for Information
The path to governed data
Hamza Ali
Analyze
27
The Ladder to AI
IBM AIEverything you need for Enterprise AI, on any cloud
WatsonKnowledge
Catalog
WatsonStudio
Watson Machine Learning
Watson AI OpenScale
Build Deploy Manage
Interact with Pre-built AI Services
Watson Application Services
Catalog
Unify on a Multicloud Data Platform
IBM Cloud Private for Data
AI Open Source Frameworks
Data Sources Analytical Data Management & Storage
Security (pre-integrated stack, user roles, monitoring, industry certifications, etc.)
Pre-integrated Platform, Deploy Anywhere (private cloud, on-premises, AWS, OpenStack, OpenShift, etc.)
Actionable Insight
Analytics In-Motion
Enhanced Applications
Discovery & Exploration
Ingestion &Integration
Data Access
Machine &Sensor data
Image & Video
Content Services
Social Data
WeatherData
Commercial Data Sets
Third-PartyData
Transactional Data
System of Record Data
Da
ta a
cq
uis
itio
n &
ap
pli
ca
tio
n a
cc
ess
InternetData Sets
ApplicationData
Customer Insights
New Business Models
Planning& Analysis
Compliance
& Fraud
Security
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Architecture Overview– Cloud Pak for Data
Operations
Information Management & Governance
DataStageDataFlowDesigner
Data Virtualization
Enterprise Search
Data RefineryData Catalog
Cognos Dashboards
Watson Studio (Open
source components)
Data Science (SPSS Modeler, Decision Optimization, WEX, etc)
Watson OpenScale
Watson AIServices
Cognos Analytics
Base:- Postgres Netezza
-Db2 Warehouse (SMP, MPP)
IBM Streams
Business Glossary
Policies & Rules AutodiscoveryIndustry
AcceleratorsOMRS
Governance Catalog
Outside Cloud PakD
Leverage Existing Investments:
IIAS (Sailfish)Hortonworks HDP
Cloudera CDHOracle
Db2, Db2zOSMongoDB, Postgres
NetezzaTeradata
Microsoft SQL SeverAnd more
Cloud Pak for Data (Base)
Customer Investments Outside Cloud PakD
Cloud Pak for Data – Premium Add-ons
Premium Add-ons:
Db2 AESE
Db2 Event Store
MongoDB
On Cloud PakD
Cloud Pak for DataR E S O U R C E S
Walk-Through Demo - LINK
14-Day Guided Trial - LINK
Access to Cluster - LINK
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IBM AI on IBM Cloud Private for Data
Data Collection Services Data Organization Services
Open Source frameworks to build, train and deploy Machine Learning models powered by Watson Studio and Machine Learning
AI Services o Data visualizationo Machine learning learningo Model build & deployo Model management o Dashboards & reporting
Watson Studio/MLData Science Premium
Premium tools to design, build & deploy AI models
Watson AI OpenScale
Watson Assistant
Watson Discovery
Watson APIs
AI Digital Automation
Operational optimization services
Conversational AI services
Knowledge discovery AI services
Interactive AI services (e.g., speech)
AI-automated business processes
Foundational AI Services
SPSSModeler
Data Refinery
Model Builder
DecisionOptimization
Watson Explorer
Streams Designer
Add-onAI Services
