IBM Governed data lake is a value-driven big data platform journey. The journey starts by ingesting wide variety of data, governing it, applying data science and machine learning on it to produce actionable insights.
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IBM Governed Data Lake
1. Enabling Digital Business with
IBM Governed Data Lake
Karan Sachdeva (karan@sg.ibm.com)
IBM Big Data Analytics
Sales Leader
Asia Pacific
2. What I am going to discuss in
next 15 minutes
1.Digital Disruption
2.Becoming Digital business with
IBM Governed Data Lake
3.Call To Action - Discovery
Workshop and Quick Start
Solution
3. Powerful disruptions have fundamentally changed long-standing
business practices and business models
A digitized ecosystem
is crucial for
business success Digital ubiquityNew business
models
Digital ecosystem
Disruption 1
Analytics & cognitive
Machine Learning
Cloud Data Science
The Internet
of Things
The upsurge of big
data and analytics
technologies
Disruption 2
Availability of Consumer
Data, Business Data, IoT
Data
Disruption 3
Traditional transactional data
Contextual data
Disrupt the Disruptor. Become a Data Driven Business with IBM Governed Data Lake.
4. Why you need IBM Governed Data Lake
Data is proliferating, often stored in different locations and formats. Its getting more difficult to
provide data access and reliable analytics to businesses
5. IBM Governed Data Lake: Delivering What the Enterprise Requires in
Digital Era
Build a Solution to Monetize Data
assets by applying ML and Data
Science
Revolutionize how enterprises manage and use their data
Deliver a Production-Ready Data
Lake with Governance
Build a system that is easy-to-use and integrates
with Enterprise IT
Business IT
Govern Data Lake Primary Focus Areas
Use Familiar Tools Access More Data
Get Faster Results Monetize Data
Reduced Risk Price-Performance
Robust Management Seamless Integration
IBM Governed Data Lake
Open Standards | Machine Learning & Data Science | Governance
6. IBM Governed Data Lake is end to end “Value driven” Big Data
Platform journey
Big Data Governance:
Data Discovery and Self Service
Analytics with strong data
governance build in for the
business. Shop for data
capabilities for different business
units.
Big Data Storage (structured and
unstructured data):
Fit for purpose storage strategy
with Common SQL Engine.
Real Time and low latency
Analytics Environment to support
different workloads for your
business landscape.
Data Science and Machine
Learning:
Leverage power of prediction
with Machine Learning and Data
Science. Innovate and Become
data driven business
7. Select the entry points to your Governed Data Lake journey
Disruptive
Competitive
Optimized
Data & Insight Accessibility
Big Data made
accessible and
simple
Data assets made
understood,
protected and
trusted
Natural Language
Visualization and
Exploration
Insight Driven
Enterprise:
ML,AI, Optimize
and Automate
Big Data
Govern
Explore
Data Science
Enterprise DW Modernization
EDW Augmentation
Customer 360
Operational DataStore
Machine Learning
Anomaly Detection
Recommendation Engine
Cognitive Text Analytics
8. Reference Architecture- Governed Data Lake
REAL-TIME DATA SOURCES
ENTERPRISE
TRANSACTION
DATA
ERP, MES, QMS,
Maintenance, ETC.
LEARN4
GOVERNED DATA LAKE
STORE AND PROCESS
IBM Data Science
Experience
1
I
N
G
E
S
T
INGEST AND MONITOR
5
ANALYZE4
7
DATA IN
MOTION
DATA AT
REST
IBM Big SQL
ACT
REAL-TIME
ACTION
DEPLOY Data Discovery
ML and Data Science
Data Governance IBM Information Governance Catalog
REAL-TIME
ACTION
7
7
9. IBM Data Science Experience Platform
Top Spot in Gartner’s Magic Quadrant
Gartner comments-
"DSX is likely to be one of the most
attractive platforms in the future —
modern, open, flexible and suitable for a
range of users, from expert data
scientists to business people"
"IBM has been focusing on support for
open-source technologies, which is a top
requirement for data scientists. It is
strongly committed to Spark and other
open-source technologies, and has
contributed to open-source SystemML
technology from IBM Research"
10. Governed Data Lake Quick Start Solution
1. Receive best practices
for your organizations
to get started with
governed data lake
2. Achieve faster time-to-
value with pre-built
accelerators
3. Leverage world-class
data scientists and
engineers with proven
results at most mature
big data and Data
Science customers
12 Nodes of best in
class Open Source
Hadoop- IBM
Hortonworks Data
Platform
5 Users for IBM
Data Science
Experience
1 weeks of
partner
services
engagement
_________
= 75K USD*
*Commercials for services from third party IBM Partners.
*Commercials focused on Data Science environment for Governed Data Lake
*Commercials may vary from local conditions and countries to countries
*Offer valid till 31st March 2018
+ +
11. Use Discovery Workshop to produce a definitive “Governed
Data Lake Blueprint”
How to do: envision
Data First Method
Discovery Workshop
Machine learning
assessment
Executive interviews
Competitive & strategic
assessment
Data warehouse
assessment
Digital initiatives
overview
Executive alignment and
commitment
Governed Data Lake roadmap
Defined pilot
Business case
Input Output
12. IBM Cloud
Call To Action:
• Identify the use case for your business
Involve us for free Discovery workshop
• Read, learn and Contribute at-
• www.ibmbigdatahub.com
• Write to us- karan@sg.ibm.com
13. Essential to Informed Decision Making
Driving Innovation
Using Data
Big Data
Persistence
Simplified
way to
Access the
Data
Data
Governance
Data Science
Tooling to
drive insights
14. How to become a Cognitive and Digital Innovator ?
1.
2.
3.
4.
5.
Create a competency to clearly articulate business problems that cognitive
technologies can help solve
Define value associated with solving those problems and make appropriate
investments
Ensure data strategy targets information needed to address problems
identified
Adopt a strategy of continuous improvement
Make innovation central to business vision, strategy, and execution
Five Key Recommendations to Become Cognitive Innovator
15. The Digital Business
• Provides customer-defined and experience-led services
and products
• Data as a business model
• Contextual actions in the moment
• Low cost, agile IT, automated, intelligent
People-
Transformed
digitally savvy
workforce
Process:
Reimagined,
processes, IT
automation,
agile, micro-
service based,
low costs
Revenues- 90% sales and
service transactions online,
omni-channel, high customer
experience & NPS
Customers-
Serves all
segments,
customer-defined
purchasing
Cognitive analytics,
fast, intelligent data
Serves
the
customer
base
Source: IBM Institute for Business Value.
Governed
Data Lake
Machine Learning | Data Science | Governance
IBM Governed Data Lake: First Step for Digital Business
16. Persist
Analyze
Ingest Deploy
Projects | Data | Assets | Pipelines | APIs
Intelligent governance | Policy enforcement
What you need is an integrated Data Platform
Making data into insights is a team sport
Our Core Tenets
1. Intelligent by Design
2. Collaborative for data
Professionals
3. Self-service access to
trusted data
4. Best in class streaming
and real-time analytics
5. Open and Extensible
Collaborate
Data steward Data scientistData engineer Developer
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