This document discusses how digital disruptions are changing businesses and the need for data integration (DI) modernization. It emphasizes that data is crucial for digital businesses and an efficient DI platform is key to success. The document outlines strategies like the big bang or 2-speed approach for DI modernization. It also highlights capabilities needed like API-based integration, stream computing, cloud infrastructure and logical data warehousing. Finally, it stresses the importance of adopting an agile operating model and DevOps culture for lean execution of the DI transformation.

1. www.LnTInfotech.com
DI Modernization at the Age of
Digital Disruptions
Amar Roy
L&T Infotech Ltd.

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About Myself
I help my customers in their digital journey by developing
their big, small & fast data solution.

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About L&T Infotech
 L&T Infotech is a global IT services and solutions
provider. We provide the winning edge to our clients by
leveraging our Business-to-IT Connect and Deeply
Committed People.
 Our clients have found in us a right-size partner who
combines scale, stability and customer-centricity.

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Digital businesses - disrupting “business as usual”!

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Data is the glue of all digital businesses!
And an efficient data integration platform is the logical
starting point towards success

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Today we will discuss…
 What is a digital business?
 Needs and challenges of DI modernization
 Strategies an organization can adopt
 Capabilities to be acquired
 Platform & toolset
 and Operating model to make the transformation to work

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What does it mean to be Digital?

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Being Digital Means*…
And it demands innovation, speed & agility!
 creating value at the new frontiers of the business world
 creating value in the processes that execute a vision of
customer experiences
 and building foundational capabilities that support the
entire structure.
*Source: What ‘digital’ really means | McKinsey & Company

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This is new normal of
customer service and
satisfaction!
Uber runs its business
on a platform which
uses enables this level
of customer service
and more…

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Image Source: http://www.datanami.com/2015/10/05/how-uber-uses-spark-and-hadoop-to-optimize-customer-experience/
It’s fundamentally a data problem!
- Aaron Schildkrout, Head of Data @ Uber

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However, this is not easy for every organizations!

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Their present Data Integration landscape looks like
this!
Where to start?

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Clearly , it is not only about technology!

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You will need to
choose the right modernization strategy,
acquire the right capabilities and integrate with
existing ones,
implement state of the art platform & toolset,
adopt to an agile operating model which makes
everything work seamlessly
to get your DI ready for Digital Transformation…

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What are the right strategy an organizations can adopt?
Depending upon your situation, you can choose either of
these 2 strategies,
Big Bang Approach
2-Speed Transformation
Most of our customer adopts the 2nd strategy

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 Identify the candidates which
need to change at faster speed
 Not all DI applications need to
change at faster speed

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Back office adopts slowly

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Customer facing systems needs to change faster!

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Big Data is only a piece in the DI puzzle…
Stream
Computing will
make real-time
integration
possible
Cloud
Infrastructure
will provide one-
click provisioning
and elasticity
API Based
Integration will
enable a data as
Microservices
Logical Data
Warehouse
will contain
Small/Big &
Fast Data

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API based integration provides seamless cross channel
experience by enabling data as a microservice…
 design of data services
around business
capabilities, automated
deployment and
decentralized control of
language & data.
 REST is the de facto
standard
Image Source: https://blog.karmawifi.com/how-we-build-microservices-at-karma-71497a89bfb4#.ixbgljju0

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Real time streaming for responsiveness…
Image Source: https://spark-summit.org/2014/wp-content/.../Lambda-Architecture-Jim-Scott..pdf

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Logical DW extends existing infrastructure to cater new data and related workloads…
Data
Quality
ILM
Data Governance
Data
Integration
MDM
Source
Security
Web
Services
APIs
SQL
Queries
Search
Custom
Applications
ERP
SCM
CRM
Image
Audio
& Video
Machine
Logs
Emails
Web &
Social
Sensor
Data
Documents
Eg Pdf,
Docs
StructuredUn-structured
Data Acquisition Layer Data Consumption Layer
Marketing
Executives
Operational
Managers
Data Scientists
Business
Analysts
Engineers
Customers
Partners
Frontline
Workers
Data
Lake Archived
Data
Master
Data
Staging
Data
Non Prod
Data
Metadata Management
Data
Virtualization
Analytical
Data
Data Fill
Platform
Data Mill Platform
Data Drill Platform
Data Warehousing Platform
Near Real Time
Load
Batch
Load
Advanced
Analytics
 Prescriptive
 Predictive
 Descriptive
Business
Intelligence
 BI Reports
 Ana Reports
 Dashboards
 Visualization
OLAPODS Data Marts

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One-click provisioning & elasticity through a cloud
infrastructure; allowing faster innovation
“…Cloud Computing is
multi-tenant, it’s faster,
half the cost, pay as
you go, it grows as you
grow or shrinks as you
shrink. It is extremely
efficient…”
- Marc Benioff, CEO SFDC [Oracle
Open World 2010]

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Plethora of tools to architect your agile & scalable data platform
Data
Sources
Flow
Controller
Stream
Processor
Storage Analytics
 Enterprise
Applications
 Mobile Devices
 IoT Sensors
 System logs
 Web Scrapping
 Messaging
Queue i.e.
Kafka, Tibco
EMS
 Amazon
Kinesys
 Storm
 Spark
Streaming
 Informatica
CDC
 Flink
 Azure
Streaming
 RDBMS
 NoSQL
 HDFS
 Cloud Storage
S3, HDInsight
 Cloud DB -
Redshift
 Custom
Application –
D3
 Tools –
Tableau, Qlik
 Elastic Search
 Many more

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Because of the speed and agility digital initiatives will usher
a cultural shift in the way organization builds and deliver
software…

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DevOps & Continuous Integration – Lean Execution Model for
DI TransformationStart
Continuous
Integration Server
Source
code
Repositor
y
Resolve
Dependenci
es
Get Latest
job/packag
e
Integration
of
components
Static
Analysis
Deploy in
QA
Environme
nt
Unit &
Functional Test
Regression
TestResult
Validation
Update
Matching
Defects
Send
Notificatio
n
(Start)
(End)
Build Tool
(xml test
cases)
(Coding Standard,
Sanity checks)
(xml test
cases)
Java API
Trigger
Mechanis
m
Code
Check-in
Matrix
Dashboar
d
(pearl, shell, js)
Test Management
Server
SMTP
Server
Bug
Reporting
Tool
Automated Test
Script
Raise
Defect
Feedback
ETL jobs
BI
Dashboard
s

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“Companies rarely die from moving too fast, and they
frequently die from moving too slowly.”
- Reed Hastings, CEO of Netflix

28. www.LnTInfotech.com
Please send your questions to amar.roy@lntinfotech.com
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