講師: Bob Yin, Senior Product Specialist, Informatica
These Informatica Cloud offerings are pre-built packages for quick time-to-value for customers looking to fast-track cloud data management initiatives. For example, customers can quickly kick start a new Amazon Redshift data warehouse project and use Informatica Cloud Connector for Amazon Redshift to load it with meaningful connected data from cloud sources such as Salesforce.com or on-premises sources such as relational databases -- all within hours, not months.
3. Informatica and AWS
GE
Transportation
Customers want to:
Migrate existing on-
premises data warehouse
and application workloads
Extend their current data
management capabilities to
the cloud
Develop new data-driven
applications
4. Informatica Data Management for AWS
On premise
Data
Warehouse
Firewall
On-premise
Data Warehouse
Other Databases
Applications
Files
Salesforce Wave
Tableau Online
Data
Security
Enterprise
Information
Catalog
MDM
Data
Quality
CONNECTIVITY (200+ Connectors)
Data
Integration
Application
Integration
Informatica Data Management Platform
Amazon RDS
Amazon Redshift Amazon EMR Amazon S3
5. Leverage Informatica Solutions On The AWS
Informatica Cloud on AWS Marketplace
SaaS Contract
Enterprise Information Catalog (EIC)
Quick Start on AWS
Informatica Data Quality on AWS
Marketplace 1-Click Deployment
PowerCenter on AWS Marketplace 1-
Click Deployment
PowerCenter Quick Start on AWS
Big Data Management Quick Start on
AWS
Big Data Management on AWS
Marketplace
6. Data Powers AWS Success, Informatica Powers Data
Scale
Unlock Big Data
Insight with
Data Lakes
Integrate
Jumpstart & Scale
Cloud Data
Warehouse
Migrate
Migrate On-Premise
Workloads & Data
7. Migrate Workloads and Data to AWS
Cloud
On premise
Amazon Redshift
On-premise
Data Warehouse
Other Databases
Firewall
Amazon RDS
Amazon Aurora
Informatica
Informatica
8. Migrate On-Premise Data to AWS with Native Connectors
DynamoDB S3 Redshift
RDS +
Aurora
EMR
Extensive Connectivity to On-Premise Sources
9.
10. Hundreds of Connectors, For Any Data Source
Sales & ServiceBig Data
Human Resources
Web Protocols & API
ERP & Financials
B2B
Marketing
Social
IT & Admin
Analytics
11. Comprehensive Solution for Data Lakes On AWS
INGEST CLEANSEPREPARE SECURE GOVERNCATALOGACQUIRE CONSUME
COMPREHENSIVE SUPPORT FOR DATA PROCESSING
Spark Blaze Tez MapReduce
Catalog SearchLineage Recommendations
METADATA INTELLIGENCE
Spark Streaming
COMPREHENSIVE SUPPORT FOR DATA INFRASTRUCTURE
Data
Preparation
Business
Glossary
Batch
Processing
Stream
Processing
Data
Profiling
Data
ProtectionData
Lineage
Data
Parsing Enterprise Data
Catalog
Big Data
Relationships
Broadest
Connectivity
Data
Quality
Informatica Data Lake Management
Relational
Social
Files
Device data
Weblogs
Applications
Amazon
Redshift
Business
Intelligence
EMR S3
12. Intelligent Data Lake: Discover & Prepare Data
▪ Intuitively and interactively prepare
data with guided intelligence and
recommendations
▪ Records steps to automatically
generate data flows for repeatable &
reliable delivery of data
▪ Organize data assets in projects
workspaces to facilitate analytic
team collaboration
▪ Recommends alternate and
additional data assets using machine
learning
13. Enterprise Information Catalog: Data Visibility & Governance
▪ Google-like search, with Amazon-like
crowd-sourcing (recommendations, ratings)
▪ Easily find more sources of data and
discover relationships that matter
▪ Improve search and discovery of data by
relating business terms to technical assets
▪ Smarter data recommendations and
enhanced faceted search
▪ Traceability of data movement with full
lineage including, detailed impact
analysis
▪ Resource-level read/write permissions to
catalog objects for enhanced auditing Comprehensive Discovery and Visibility
of all Data Assets Beyond “Hadoop”
14. Security
Protect Data in
Rest and In
Motion
Operational
Confidence
Monitor &
Manage
Production Data
Data Visibility
Enterprise-Wide
Metadata
Connectivity
Any Data In
Cloud and On-
Prem
Data Management Best Practices for AWS Cloud Journey