SlideShare ist ein Scribd-Unternehmen logo
1 von 94
Downloaden Sie, um offline zu lesen
Naviga&ng	
  SAP’s	
  Integra&on	
  Op&ons	
  
Lessons	
  Learnt	
  Integra&ng	
  SAP	
  into	
  a	
  Complex	
  Landscape
Sascha	
  Wenninger
@sufw	
  	
  
About Me
Technical Architect
Focus: SAP Integration
Opinionated
Co-founder of Blue T
SAP Mentor
Wannabe Performance Engineer
Enterprise IT !== Boring
3
4https://secure.flickr.com/photos/good_day/159927879/
There were files.
5
Then came RFC
6
7
So What DoYou Choose?
8
https://secure.flickr.com/photos/manannan_alias_fanch/315630347/ 9
10h1p://www.flickr.com/photos/freddiebrown/6296214984/
11h1ps://secure.flickr.com/photos/92583675@N00/2322009245/
12h1ps://secure.flickr.com/photos/pascalbovet/4375204691/
?
TINLOTR
One Integration Approach to Rule them All
One Integration Approach to Rule them All
One ____________ to Rule them All
One ____________ to Rule them All
Use the Right Tool for the Job!
“Right	
  Tool	
  for	
  the	
  Job?”,	
  by	
  Bruce	
  Murray
21h1p://www.flickr.com/photos/rideyourbike/2275993007/
22
Back to First Principles
Push or Pull?
That is the Question.
23
24
Data	
  Flow
A B
Source DesVnaVon
25
A B
Actual	
  IntegraVon?
A	
  sends	
  to	
  B
A BB	
  fetches	
  from	
  A
or
26
A knows B
Low latency easy
A is active party
A has control
A may not know B
Low latency possible
B is active party
B has control
A B A B
27
or
h1p://www.flickr.com/photos/gcwest/2686928531/
Synchronous:
Source is responsible to make itself understood
28h1p://www.flickr.com/photos/48975388@N07/7163918352/
Asynchronous:
Target is responsible
to ensure it understands
29h1p://www.dumpaday.com/wp-­‐content/uploads/2013/02/funny-­‐pictures-­‐dumpaday-­‐28.jpg
They’re the only binary choices you have to make!
30
<sidebar>
31
Synchronous == Best Effort,“Kiddie Stuff”
Asynchronous == Reliable, Guaranteed Delivery,“Enterprisey”
32
Synchronous == Best Effort,“Kiddie Stuff”
Asynchronous == Reliable, Guaranteed Delivery,“Enterprisey”
33
Remember the OSI Model?
34
7 Application
6 Presentation
5 Session
4 Transport
3 Network
2 Data Link
1 Physical
More or less leaky abstractions
Inherently Synchronous
Everything in Computing is Ultimately Synchronous!
35“Turtle	
  Tower”,	
  by	
  Andreas	
  Al
36
(It’s all about error handling!)
</sidebar>
37
For Example:
Getting data into an Enterprise Data Warehouse
(using SAP BW as an example)
38
SAP	
  BW
39
Inbound Data Layer
Transformation Layer
Reporting Data Layer
Reporting Tool Visualisation Tool
Source System, e.g. SAP ERP
Extractor
Process Chain
Process Chain
Queries
Browser access
SAP	
  BW
40
Source System A
Transformation Layer
Reporting Data Layer
Reporting Tool Visualisation Tool
Source System B
Source System C
Source System D
Source System E
Inbound Data Layer
41
A
B
C
D
BW
E
“Blue	
  Marble	
  Next	
  GeneraVon,	
  Raw	
  Bathymetry”,	
  by	
  NASA	
  Visible	
  Earth
42
43
A
B
C
D
BW
“Blue	
  Marble	
  Next	
  GeneraVon,	
  Raw	
  Bathymetry”,	
  by	
  NASA	
  Visible	
  Earth
E
44
Best Bets for Push vs. Pull Decisions
n Sources, 1 Target
1 Source, n Targets
“dumb” Source
No/few intermediaries
Many intermediaries
Low latency needed
✔
✔
✔
✔
✔
✔
45
Shared Database
ETL (Extract,Transform, Load)
File Transfer
Message-Based
SOA (Service Oriented Architecture)
REST
h1p://www.flickr.com/photos/marktee/7545627352
46
Shared Database
47
Shared Database
ETL: Extract,Transform, Load
48
File Transfer
49
Message-Based
50
SOA: Service Oriented Architecture
51
REST: Representational State Transfer, aka “Web APIs”
52
When to Use Which Approach?
53Image	
  credit:	
  Jenny	
  Shirey
54
Criteria: DataVolume
1 kB 10 kB 100 kB 1 MB 10 MB 100 MB 1 GB
ETL
File Transfer
Message-Based
SOA
REST
55
Criteria: Frequency
1/week 1/day 1/hour 1/min 1/sec 10/sec
ETL
File Transfer
Message-Based
SOA
REST
56
Criteria:Application Capabilities
None Rudimentary Intermediate Sophisticated
ETL
File Transfer
Message-Based
SOA
REST
Criteria: Synchronicity
57
Fire	
  &	
  Forget! Asynchronous@ Synchronous$
ETL ✔ ✔
File Transfer ✔
Message-Based ✔
SOA ✔ ✔
REST ✔ ✔
!	
  	
  	
  No	
  technical	
  acknowledgment	
  received	
  by	
  Sender
@	
  Technical	
  (delivery)	
  acknowledgment	
  received	
  by	
  Sender
$	
  	
  Request/Response	
  communicaVon
Criteria: Data or Functionality?
58
Data-­‐Centric Func&onality-­‐Centric
ETL ✔
File Transfer ✔
Message-Based ✔
SOA ✔
REST ✔
59
Our Tools
h1p://www.flickr.com/photos/tunnelarmr/2435107204/
60
61
Best for Caution with
• SAP’s Middleware product.
–Origins in EAI, Message-based integration
–XML-centric, many protocol adapters
–Design-time SOA features, file transfer capabilities
62
PI: Process Integration
•Push-oriented integration
•XML data formats
•Stateless processing
•e.g. Message Router, Channel or
Translator patterns
•High-volume synchronous scenarios
•Large (~200MB+) messages
•Scenarios requiring keeping state
•e.g. collect, distributed transactions, etc.
•B2B integration
Best for Caution with
• SAP’s “middleware stack”: PI 7.3 + BPM + BRM
–Java-only installation with much improved (10x!) runtime performance
–Next-gen NetWeaver BPM runtime for stateful processing
63
PO: Process Orchestration
•Push-oriented integration
•XML data formats
•Stateless processing
•e.g. Message Router, Channel or
Translator patterns
•High-volume synchronous scenarios
•Large (~200MB+) messages
•Short timeframe projects (skills availability)
•B2B integration (although investment is
increasing)
Best for Caution with
• SAP’s ETL Tooling: Extract > Transform > Cleanse > Load
–Bulk data transfers at the database level
–Useful for replicating content of data warehouses
64
BODS: BusinessObjects Data Services
•Data-centric integration
•Pull-oriented integration
•Large volume of data
•Low frequency, high latency
•Data quality enforcement
•Bulk loads into HANA
•Application-to-Application integration
•Lower latency requirements
•Infrequently-changing data
•Granular information
ALE - specifically IDocs
65
• SAP-proprietary message-based integration
• Well integrated into SAP applications, some heavily rely on it.
–Slowly being supplanted by web services, but not yet.
• Mature and feature-rich
Best for Caution with
•Integrating standard functionality of
different SAP applications with each other
•Forward Error Handling
•Processing messages in bulk, or in
sequence
•Integrating applications not built by SAP.
•Can enhance “Fortress SAP” perceptions
•Enhancing/extending standard IDocs
66
ABAP Batch Jobs
• "The 80's called, they want their integration back"
• Nevertheless still useful in some cases
–But use XML.Tab-delimited files should have gone extinct in the 80s.
67
Best for Caution with
•Fire & Forget asynchronous transfer
•Long-running "message" creation
•Often lowest-common denominator
•Outbound from SAP ;-)
•SAP on the inbound side; error handling is
generally bespoke.
•High-volume or high-frequency
interactions
Best for Caution with
• SAP’s Web Service Layer
–translates XML to ABAP, and back
68
ABAP Proxies
•Proper outside-in web service design
•Logging
•Idempotency
•Forward Error Handling
•WS-* support
•Relying only on ESR modeling
•Some industry-standard XML Schemas
NW ABAP (e.g. ECC, CRM)
BAPI
ABAP Classes
ABAP
Proxy
Layer
SOAP
Client
Best for Caution with
• SAP’s REST-inspired OData API Layer for:
–Business Suite
–HANA
–NW BPM, Business Workflow
–etc.
69
NetWeaver Gateway
•Functionality-centric integration
•Pull-oriented integration
•Client/server architectures
•Multi-request interactions
•Exposing public APIs directly.
•Formats other than OData or JSON
NW ABAP (e.g. ECC, CRM)
BAPI
ABAP Classes
Workflow
ECC/CRM
etc.
NW BPM
NW
Gateway
JSON/
OData
Client
Best for Caution with
• SAP’s generic HTTP Server Layer
–direct access to HTTP requests
–hand-craft responses to include any content.
70
ABAP HTTP Handlers
•Complex, functionally-rich REST APIs
•Intimate control over content:
•from Plain-text to Binary
•Interesting 'hacks'
•Large numbers of 'cookie-cutter' interfaces
•requires hand-crafting
•Learning curve
NW ABAP (e.g. ECC, CRM)
BAPI
ABAP Classes
ABAP
HTTP
Handler
HTTP
Client
71
Assessing Fit
h1p://www.flickr.com/photos/90369723@N00/5580038871/
72
PI PO BO	
  DS ALE/IDocs
ETL ✔
File Transfer ✔ ✔ ✔
Message-Based ✔ ✔ ✔
SOA ✔ ✔
REST
73
Batch	
  Jobs ABAP	
  Proxies Gateway HTTP	
  Handler
ETL ✔
File Transfer ✔
Message-Based ✔
SOA ✔ ✔ ✔
REST ✔ ✔
74
Use the right tool for the job.
75h1p://cheezburger.com/3535420672
Think XML Schema
76
Modeling XML using ESR Data Type objects is too restrictive:
Time-consuming
Cannot extend elements
No abstract types
No xs:choice, xs:all, xs:any, etc.
Poor support for industry-standard XML Schemas
Lots of work-arounds...
77
78
0%! 20%! 40%! 60%! 80%! 100%!
ABAP Proxy!
ESR!
Supported!
Partially
Supported!
Not
Supported!
Plan for reuse at the right level!
79
80
✔
✔
?
Don’t aim for reuse.
Let it emerge.
81h1p://www.flickr.com/photos/yukonblizzard/2926897104/
Reusable
or
82
Future Legacy?
Cumbersome?
One Size Fits None?
Regression Testing Nightmare?
YAGNI
+
Refactor
83h1p://www.flickr.com/photos/mcgraths/3248483447/
You Ain't Gonna Need It
+
Refactor
84h1p://www.flickr.com/photos/mcgraths/3248483447/
Don’t try to predict the future. You will be wrong.
If in doubt, leave it out.
“As simple as possible”
Plan to refactor to improve!
85
Build tests.
86h1p://www.flickr.com/photos/kwl/4809326028/
87h1p://agilemanifesto.org
88
89
Business value over technical strategy
Evolutionary refinement over pursuit of initial perfection
Main Message
90http://tomfishburne.com/2012/07/one-size-fits-none.html
Key Points to Take Home
You will need more than one tool.
Get the interaction right.
Aim for simplicity.This helps implementation and support.
91
Sascha Wenninger
@sufw
sascha@BlueT.com.au
+61 403 933 472
Further Reading
Enterprise Integration Patterns (Hohpe & Woolf). The Book and the Site.
Positioning Process Integration and Data Services, by SAP
The Practical Science of Batch Size, by Don Reinertsen. Video and slides.
Comments on the SOA Manifesto, by co-author Stefan Tilkov
94

Weitere ähnliche Inhalte

Was ist angesagt?

Scalable and Available, Patterns for Success
Scalable and Available, Patterns for SuccessScalable and Available, Patterns for Success
Scalable and Available, Patterns for Success
Derek Collison
 

Was ist angesagt? (20)

Building a better web
Building a better webBuilding a better web
Building a better web
 
How a Small Team Scales Instagram
How a Small Team Scales InstagramHow a Small Team Scales Instagram
How a Small Team Scales Instagram
 
Scalable and Available, Patterns for Success
Scalable and Available, Patterns for SuccessScalable and Available, Patterns for Success
Scalable and Available, Patterns for Success
 
Care and feeding notes
Care and feeding notesCare and feeding notes
Care and feeding notes
 
Page Performance
Page PerformancePage Performance
Page Performance
 
12 tips on Django Best Practices
12 tips on Django Best Practices12 tips on Django Best Practices
12 tips on Django Best Practices
 
WordPress Speed & Performance from Pagely's CTO
WordPress Speed & Performance from Pagely's CTOWordPress Speed & Performance from Pagely's CTO
WordPress Speed & Performance from Pagely's CTO
 
Choosing a Web Architecture for Perl
Choosing a Web Architecture for PerlChoosing a Web Architecture for Perl
Choosing a Web Architecture for Perl
 
Benchmarking NGINX for Accuracy and Results
Benchmarking NGINX for Accuracy and ResultsBenchmarking NGINX for Accuracy and Results
Benchmarking NGINX for Accuracy and Results
 
Anirban webappsecusa2014
Anirban webappsecusa2014Anirban webappsecusa2014
Anirban webappsecusa2014
 
Altitude SF 2017: Reddit - How we built and scaled r/place
Altitude SF 2017: Reddit - How we built and scaled r/placeAltitude SF 2017: Reddit - How we built and scaled r/place
Altitude SF 2017: Reddit - How we built and scaled r/place
 
CNPM: Private NPM for Company / 企業級私有NPM
CNPM: Private NPM for Company / 企業級私有NPMCNPM: Private NPM for Company / 企業級私有NPM
CNPM: Private NPM for Company / 企業級私有NPM
 
Advanced Caching Concepts @ Velocity NY 2015
Advanced Caching Concepts @ Velocity NY 2015Advanced Caching Concepts @ Velocity NY 2015
Advanced Caching Concepts @ Velocity NY 2015
 
Inside election night at The New York Times | Altitude NYC
Inside election night at The New York Times | Altitude NYCInside election night at The New York Times | Altitude NYC
Inside election night at The New York Times | Altitude NYC
 
23 Ways To Speed Up WordPress
23 Ways To Speed Up WordPress23 Ways To Speed Up WordPress
23 Ways To Speed Up WordPress
 
The State of WebSockets in Django
The State of WebSockets in DjangoThe State of WebSockets in Django
The State of WebSockets in Django
 
Hadoop in a Windows Shop - CHUG - 20120416
Hadoop in a Windows Shop - CHUG - 20120416Hadoop in a Windows Shop - CHUG - 20120416
Hadoop in a Windows Shop - CHUG - 20120416
 
Transactional Streaming: If you can compute it, you can probably stream it.
Transactional Streaming: If you can compute it, you can probably stream it.Transactional Streaming: If you can compute it, you can probably stream it.
Transactional Streaming: If you can compute it, you can probably stream it.
 
Revisiting HTTP/2
Revisiting HTTP/2Revisiting HTTP/2
Revisiting HTTP/2
 
Caching the Uncacheable: Leveraging Your CDN to Cache Dynamic Content
Caching the Uncacheable: Leveraging Your CDN to Cache Dynamic ContentCaching the Uncacheable: Leveraging Your CDN to Cache Dynamic Content
Caching the Uncacheable: Leveraging Your CDN to Cache Dynamic Content
 

Andere mochten auch (6)

Lecture about SAP HANA and Enterprise Comupting at University of Halle
Lecture about SAP HANA and Enterprise Comupting at University of HalleLecture about SAP HANA and Enterprise Comupting at University of Halle
Lecture about SAP HANA and Enterprise Comupting at University of Halle
 
5 minute-intro-to-rest
5 minute-intro-to-rest5 minute-intro-to-rest
5 minute-intro-to-rest
 
SAP Reuse Tools
SAP Reuse Tools SAP Reuse Tools
SAP Reuse Tools
 
REST - A Super Quick Intro
REST - A Super Quick IntroREST - A Super Quick Intro
REST - A Super Quick Intro
 
SAP TechEd 2010 highlights
SAP TechEd 2010 highlightsSAP TechEd 2010 highlights
SAP TechEd 2010 highlights
 
Mud therapy
Mud therapy Mud therapy
Mud therapy
 

Ähnlich wie Navigating SAP’s Integration Options (Mastering SAP Technologies 2013)

Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...
Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...
Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...
Precisely
 
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice MachineSpark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Data Con LA
 
Geek Sync | Deployment and Management of Complex Azure Environments
Geek Sync | Deployment and Management of Complex Azure EnvironmentsGeek Sync | Deployment and Management of Complex Azure Environments
Geek Sync | Deployment and Management of Complex Azure Environments
IDERA Software
 

Ähnlich wie Navigating SAP’s Integration Options (Mastering SAP Technologies 2013) (20)

Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...
Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...
Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...
 
Innovation in the Enterprise Rent-A-Car Data Warehouse
Innovation in the Enterprise Rent-A-Car Data WarehouseInnovation in the Enterprise Rent-A-Car Data Warehouse
Innovation in the Enterprise Rent-A-Car Data Warehouse
 
Stream processing on mobile networks
Stream processing on mobile networksStream processing on mobile networks
Stream processing on mobile networks
 
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice MachineSpark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
 
SQL Saturday San Diego
SQL Saturday San DiegoSQL Saturday San Diego
SQL Saturday San Diego
 
Modernizing Global Shared Data Analytics Platform and our Alluxio Journey
Modernizing Global Shared Data Analytics Platform and our Alluxio JourneyModernizing Global Shared Data Analytics Platform and our Alluxio Journey
Modernizing Global Shared Data Analytics Platform and our Alluxio Journey
 
12-Step Program for Scaling Web Applications on PostgreSQL
12-Step Program for Scaling Web Applications on PostgreSQL12-Step Program for Scaling Web Applications on PostgreSQL
12-Step Program for Scaling Web Applications on PostgreSQL
 
David Max SATURN 2018 - Migrating from Oracle to Espresso
David Max SATURN 2018 - Migrating from Oracle to EspressoDavid Max SATURN 2018 - Migrating from Oracle to Espresso
David Max SATURN 2018 - Migrating from Oracle to Espresso
 
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
 
Introduction to Apache NiFi dws19 DWS - DC 2019
Introduction to Apache NiFi   dws19 DWS - DC 2019Introduction to Apache NiFi   dws19 DWS - DC 2019
Introduction to Apache NiFi dws19 DWS - DC 2019
 
Data Science
Data ScienceData Science
Data Science
 
Ncku csie talk about Spark
Ncku csie talk about SparkNcku csie talk about Spark
Ncku csie talk about Spark
 
Agile data warehousing
Agile data warehousingAgile data warehousing
Agile data warehousing
 
The CSV File Strikes Back
The CSV File Strikes BackThe CSV File Strikes Back
The CSV File Strikes Back
 
Stinger.Next by Alan Gates of Hortonworks
Stinger.Next by Alan Gates of HortonworksStinger.Next by Alan Gates of Hortonworks
Stinger.Next by Alan Gates of Hortonworks
 
Geek Sync | Deployment and Management of Complex Azure Environments
Geek Sync | Deployment and Management of Complex Azure EnvironmentsGeek Sync | Deployment and Management of Complex Azure Environments
Geek Sync | Deployment and Management of Complex Azure Environments
 
Agile Big Data Analytics Development: An Architecture-Centric Approach
Agile Big Data Analytics Development: An Architecture-Centric ApproachAgile Big Data Analytics Development: An Architecture-Centric Approach
Agile Big Data Analytics Development: An Architecture-Centric Approach
 
Options for Data Prep - A Survey of the Current Market
Options for Data Prep - A Survey of the Current MarketOptions for Data Prep - A Survey of the Current Market
Options for Data Prep - A Survey of the Current Market
 
Machine Learning for Smarter Apps - Jacksonville Meetup
Machine Learning for Smarter Apps - Jacksonville MeetupMachine Learning for Smarter Apps - Jacksonville Meetup
Machine Learning for Smarter Apps - Jacksonville Meetup
 
What's New in Apache Hive 3.0?
What's New in Apache Hive 3.0?What's New in Apache Hive 3.0?
What's New in Apache Hive 3.0?
 

Mehr von Sascha Wenninger

REST - What's It All About? (SAP TechEd 2012, CD110)
REST - What's It All About? (SAP TechEd 2012, CD110)REST - What's It All About? (SAP TechEd 2012, CD110)
REST - What's It All About? (SAP TechEd 2012, CD110)
Sascha Wenninger
 

Mehr von Sascha Wenninger (6)

HTTP/2 and SAP Fiori
HTTP/2 and SAP FioriHTTP/2 and SAP Fiori
HTTP/2 and SAP Fiori
 
Build your Own Technology Roadmap!
Build your Own Technology Roadmap!Build your Own Technology Roadmap!
Build your Own Technology Roadmap!
 
REST - What's It All About? (SAP TechEd 2012, CD110)
REST - What's It All About? (SAP TechEd 2012, CD110)REST - What's It All About? (SAP TechEd 2012, CD110)
REST - What's It All About? (SAP TechEd 2012, CD110)
 
REST: So What's It All About? (SAP TechEd 2011, MOB107)
REST: So What's It All About? (SAP TechEd 2011, MOB107)REST: So What's It All About? (SAP TechEd 2011, MOB107)
REST: So What's It All About? (SAP TechEd 2011, MOB107)
 
SAP PI and SOA Overview
SAP PI and SOA OverviewSAP PI and SOA Overview
SAP PI and SOA Overview
 
Lessons Learnt Implementing High-Performance Integration using SAP PI
Lessons Learnt Implementing High-Performance Integration using SAP PILessons Learnt Implementing High-Performance Integration using SAP PI
Lessons Learnt Implementing High-Performance Integration using SAP PI
 

Kürzlich hochgeladen

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 

Kürzlich hochgeladen (20)

AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 

Navigating SAP’s Integration Options (Mastering SAP Technologies 2013)