Data Integration Hub

Transcription

1 Data Integration Hub

2 Data Integration Hub Provides a Better Way Actual Customer Point-to-Point Data Architecture Modern Data Integration Hub Masked

3 Informatica Data Integration Hub Accelerate data projects with the world s only publish/subscribe data integration hub Orchestrate data workflows across traditional, cloud & big data systems Wizards and easy to use business selfservice for team collaboration Speeds new integrations and reduce time to change Visibility and management across data integration workflows

4 Automated, Curated Data Delivery to All Systems Easily manage mixed latencies and data structures Data published on schedule or by trigger Just-in-time data delivery to subscribing systems when they need it either batch or real-time The hub formats the data in way each subscribing system needs it before delivery Near real-time delivery for operational systems Timed batch delivery to systems that process data periodically

5 Better Business Self-Service and Collaboration Speed projects through ease of use and automation Wizards for auto-generation of publications and subscriptions by less technical users Simple, web-based user interface enables more of the team to contribute Discover existing data publications and self-subscribe

6 Flexibility to Choose Hub Storage Automated Data Storage Options: Relational database Intermediate, structured publication repository File store pass-through use case - files are published and are stored and provided to subscribers as-is with no parsing Hadoop support the data-lake use case - long term, large volumes Relational Database File Store

7 Orchestrate Hybrid Cloud Data Integration Systematically connect cloud data with on-premise through one system Gather Salesforce data once SaaS apps publish updates Cloud CRM Pub/Sub Execution Cloud analytics data delivered justin-time On-prem Analytics automatically get curated data Greater manageability and visibility through one system for all cloud and on-premise systems Automate data workflows between the cloud and onpremise systems Request SaaS app data once to feed all systems (save repeated API call costs)

8 Big Data Integration Hub Pub/Sub for Hadoop Leverage the power and efficiency of Hadoop more seamlessly with traditional systems via pub/sub big data hub Utilize the best high performance processing for your use case on Hadoop - Blaze, Spark, Tez and Map/Reduce Feed big data analytics and apps with hub data automatically indexed in Hive Visibility, monitoring and alerting across all workflows including Hadoop

9 Modern Hybrid Orchestration for Cloud & Big Data Seamlessly integrate the cloud and big data with traditional systems with DIH 10.1 Optimize data workflows by leveraging the breadth of Informatica capabilities in a single system Process data where it is most efficient Unmatched visibility and management across systems Pub/Sub Execution

10 Inside the Hub Role Based Console Data Integration Hub Server Scheduling & Orchestration Metadata Repository Analyst Admin Monitoring & Tracking Data Management Topics Apps Runtime Events Ops Dev Auto-generated Workflows Custom Workflows Publication Repositories RDBMS File

11 Typical Drivers for DIH with Modern Hybrid BDM Maximum flexibility to onboard future publishers and subscribers Desire for data warehouse offloading capability from EDW to Big data analytics Avoid all expensive and time consuming point to point integrations Offer strong self service support to potential subscribers of the data sets Support various latencies such as batch, real-time, etc. Allow for potentially unlimited amounts of topic data in DIH Provide flexible options to store topic data Enable true hybrid IT support for cloud, on premise and big data Provide alerts, visibility and monitoring for the workflows of DIH for all types (cloud, on premise, big data)

12 System Landscape for Demo Scenario Customer Data EDW Finance Application Order and Order Detail Publishers Subscribers Big Data Analytics

13 Demo Scenario Publications and Subscriptions SFDC publishes 1x per day Big Data subscribes immediately Big Data Analytics CRM DIH Finance subscribes end of day Finance CRM publishes 4x per day EDW subscribes once per month Sales ODS EDW

14 Demonstration

15 User Groups Informatica User Groups are a great way for you to invest in your professional development and learn about new Informatica offerings. Local Chapter Leaders manage each IUG online and via in person meetings Network and Socialize Find and share content, best practices & tips Learn about the latest technologies and solutions from Informatica Discover how colleagues and peers use Informatica LEARN MORE AT IW16 : Go to the Solutions Expo Informatica Pavilion / Ecosystem & Innovation Area: Talk to regional user group leaders Learn about meeting plans Join your regional user group When: Monday 6:00pm 8:30pm Tuesday 10:45am 2:15pm Wednesday 10:30am 1:45pm Where: Moscone West Hall Level One