Post on 08-Jun-2020
Joe Lichtenberg, Product & Industry Marketing
Iberia Summit - 2018
InterSystems IRIS Data PlatformIndustries & In Action
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Business Requirements are Changing
Today’s Data Intensive Applications Must…
• Be Smarter
• Be Faster
• Incorporate More Data From More Sources
• Work Seamlessly With Existing Infrastructure
• Scale On Demand
• Be Simpler to Build and Manage
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Productivity/Agility
Analysis
“Customer Understanding”
Sales/Marketing
Other
Security
Revenue/Margin
27%
25%
15%
14%
7%
6%
5%
No
37%
9%Don’t know5%
Yes, significantly
Yes, somewhat
17%
Yes, moderately
32%
No
19%
5%Don’t know
4%Yes, significantly
Yes, somewhat
29%
Yes, moderately
43%Q. Has the inability to analyze current live data inhibited your organization’s ability to take advantage of business opportunities?
Q. Has the inability to analyze current live data inhibited your organization’s ability to improve operational efficiency?
Q. Briefly describe in what way the inability to analyze current live data has inhibited your organization’s ability to take advantage of business opportunities?
Faster
“Fraud can be detected the moment it happens and proper measures can be taken to limit the damage”
“To make robust Research and Development we need this”“Live data analysis speeds up decision-making
processes on various fronts”“Errors within the organization are known instantly”“We can understand our customer better”“Fraud can be detected the moment it happens and proper measures can be taken to limit the damage”
“To make robust Research and Development we need this”“Live data analysis speeds up decision-making
processes on various fronts”“Errors within the organization are known instantly”“We can understand our customer better”“Fraud can be detected the moment it happens and proper measures can be taken to limit the damage”
Source: IDC,Choosing a DBMS to Address the Challenges of the Third Platform, May 2017
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Simpler
“We have seen that most users need a broad variety of data type support that goes well beyond what native RDBMSs provide.”
“We have seen that tactical decisions cannot be supported as long as data is segregated into transactional and analytical databases.”
“We have also seen that maintenance of many databases leads to excessive cost and complexity in the data center.”
“The answer is to concentrate key, closely related data together for combined analytic and transaction processing, ideally included a range of data types in support of digital transformation.”
Source: IDC,Choosing a DBMS to Address the Challenges of the Third Platform, May 2017
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Simpler
Source: Enterprise Strategy Group, “Building Smarter, Faster, and Scalable Data-rich Applications for Businesses that Operate in Real Time.” January 2018
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Introducing InterSystems IRIS
InterSystems IRIS is a complete unified data platform that makes it easier to build real-time data-rich applications. It allows organizations to combine event and transactional data with large sets of historical and other data to capture untapped business opportunities and improve operational efficiencies.
Real-time. Transaction and analytic processing in the same database - to eliminate delays between events, insights, and actions.
All data, all sources. A multi-model database - for working with any type of data, and a complete interoperability platform - for integrating data and applications inside and outside the organization
Open analytics. An open analytics platform - for incorporating SQL, business intelligence, machine learning, predictive analytics, and natural language processing into real-time applications.
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A Unified Data Platform for Powering Real-Time, Data Rich Applications
InterSystems IRIS Data Platform
Multi - Model• Relational
• Document
Multi - Workload
• HTAP with Isolated Workload Processing
• Unique Approach to Big Data Analytics (Sharding + Distributed Caching)
• ACID Transactions + Real-Time Indexing
Open Analytics
• Analytic SQL
• Business Intelligence
• Natural Language Processing
Interoperability
• Languages and Tools
• Data Integration
• Application Integration
• Multidimensional
• Object
• Predictive Model Runtime
• Connector Architecture
• Composite Business
Process Orchestration
Flexible Cloud | Hybrid | On Premises Deployment Options
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Less than one microsecond• Process a single record transaction• Create the record in memory• Allow the record in memory to be accessed• (<8kB record)
Less than 20 microseconds• Create the durable journal file entry for the transaction• Using commercially available NVMe storage
Configurable• Transactions are automatically persisted to disk• Synchronous or asynchronous• Configurable based on time intervals and/or buffer size
Transactions/Queries
TransactionLog
Persist toDisk
Faster
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Simplicity
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Point Solution Approach
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Simplicity
0
2
4
6
8
1 2
# Developers
Open Source InterSystems IRIS
250%
0
5
10
15
20
25
1 2
# Libraries
Open Source InterSystems IRIS
900%
0
50
100
150
200
Tool Research Time (in hours)
Open Source InterSystems IRIS
700%
0
50
100
150
1 2
Time to Setup and Config in hours
Open Source InterSystems IRIS
2,900%
0
20
40
60
80
100
1 2
# Lines of code (Thousands)
Open Source InterSystems IRIS
900% Open Source
InterSystems IRIS
% Difference 0
500
1000
1500
2000
Open Source InterSystems IRIS
Total Manhours
310%
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InterSystems IRIS “Sweetspot”Big Data
Fast Data
Multiple Data Types
Interoperability
Simplicity
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Industry Footprint
Healthcare
Government
Logistics
FinancialServices
Manufacturing
IoTAdTech/MarTech
Utilities
Retail
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Retail – An Industry Disrupted
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Digital transformation in retail is well underway
Retailers must focus their digital efforts on improving the customer experience
• Multi-channel commerce is now Unified Retail Commerce
• Customers expect outstanding Personalized Real-Time Experiences throughout the entire customer journey
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Platform Requirements:
Application Integration
Process Orchestration
Business Activity Monitoring
Transactional / Analytic Data Management
Real Time and Batch (ML, Big Data) Analytics
Natural Language Processing
End to End Monitoring
Unified Development Environment
InterSystems IRIS: Enabling Digital Transformation in Retail
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Customer Use Case: CFAO
Unified Retail Commerce• Seamless composite business processes
― 120 subsidiaries in more than 40 countries• Eliminates “blind spots” • Integration of new systems is more than 60 times faster• Maintenance requires one-half of one employee’s time• Created natural language based Digital Help Desk
Supporting New Revenue Channels• 80 destination shopping centers supporting the sales of 30,000 products
• New ecommerce channel, Africashop.com
IT is now viewed as a strategic partner with the line of business
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Internet of Things (IoT)
• 9 billion connected devices around the world
• IoT is forecast to account for more than $4 trillion in total economic impact this year
• Interoperability and Analytics are critical capabilities (example: only 1% of sensor data on an oil rig is being analyzed today)
Sources:IDC:IoTSpendingGuidebyVerticalMarketMcKinseyGlobalInstitute:IOTMappingtheValueBehindtheHype
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Case Study: Mediterranean Shipping Company
• 2nd largest shipping company in the world
• Transports 12 million smart containers among 270 shipping ports worldwide
• InterSystems-based Track & Trace Application• Provides customers with accurate, real-time visibility into location, status, expected arrival• Real-time processing and analytics to route – and re-route ships – to ensure containers arrive on time• Incorporates real-time events (weather, strikes, …) • Eliminates errors and omissions in processing and documentation
“This unique technology is the best-kept secret in the IT industry….…and the support from InterSystems is excellent.”
-Rumen Lilov, eBusiness Development Manager
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Case Study: Navantia
• 5th largest shipbuilder in Europe, with 38,000 employees and more than $1B in revenue
• With its development partner, ArisNova, replaced its Supervisory Control and Data Acquisition (SCADA) platform with InterSystems technology
• Manages 65,000 different real-time signals from a wide variety of sensors
• Reduced development time for additional projects by 80%
“We have been able to develop a better system than anybody else in the world. It differentiates us from allcompetitors. In some cases Navantia has been able to sell ships thanks specifically to our integrated shipinformation system; sometimes it has been more important than the ship itself.
-Juan Luis Munoz, Technical Director at Navantia
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Top Technology Challenges in Public Safety
Lack “single version of the truth”
Require real-time “situational awareness”
Demand streamlined, intuitive UX
Challenging deployment requirements
Information and patterns hidden in text fields
Limited IT resources and constrained technology budgets
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Complete web based policing platform -as-a-managed-service
Bridges data and application silos
-Streamlines processes to eliminate manual tasks -Improves decision making via a new comprehensive data model supporting People, Objects, Locations, and Events (POLE)
Supports 45,000+ concurrent users across police departments in the UK and Wales
Northgate Public Services Connect: A Proven Solution for Policing
Just two days after the system went live, an arrest was made that could not have been made previously.
“The systems is low-risk, useful out of the box and extremely flexible to the ways different police force customers want to work.”–Simon Blades
Chief Architect, Northgate
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Top Technology Challenges in Financial Services
Mission-critical systems must reliably ingest and process millions of transactions per second…
…Simultaneously support high volumes of analytics queries on transactional data and historical/reference/contextual data
Deliver a role-based, secure “panoramic view” of distributed enterprise data assets
Performance, reliability, security, and scalability are critical
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Global Investment Bank with $800B assets under management
Need to perform near real time analytic queries on 18,000 market benchmarks
Requires joins on data from different distributed and partitioned tables
PoC results:
Global Investment Bank - Analytics on Partitioned Data
InterSystems IRIS In Memory DB In Memory + Columnar Column Store DB
135 days of data 14 days of data 14 days of data 20 days of data
x ms 14x ms 225x ms 52x ms
3 x 8 core, 96 GB RAM 3 x 16 core, 256 GB RAM 3 x 16 core, 256 GB RAM Dedicated hardware
No failures Failures Failures No failures
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Global investment bank with 50,000 employees and $1 trillion assets under management
Replaced in-memory Operational DBMS
Eliminating near term and historical data warehouses
Highly reliable
Global Investment Bank - Multi-Workload At Scale
Traditional Siloed
Architecture
InterSystems IRIS
A Unified Data PlatformInterSystems IRIS
TransactionProcessingDatabase
Near Term AnalyticDatabase
HistoricalAnalyticDatabase
Archive / Data Lake
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