Turn Big Data Into Big Value On Informatica & Amazon

Bob Yin 尹寒柏Senior Product Specialist

Informatica

Informatica AWS Partnership

Andy Jassy (AWS CEO) Keynote at re:Invent 2016

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

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

MDMData

Quality

CONNECTIVITY (200+ Connectors)

Data

IntegrationApplication

Integration

Informatica Data Management Platform

Amazon RDSAmazon Redshift Amazon EMR Amazon S3

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

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

Migrate Workloads and Data to AWS

Cloud

On premise

Amazon Redshift

On-premise

Data Warehouse

Other Databases

Firewall

Amazon RDS

Amazon Aurora

Informatica

Informatica

Migrate On-Premise Data to AWS with Native Connectors

DynamoDB S3 RedshiftRDS +

AuroraEMR

Extensive Connectivity to On-Premise Sources

Hundreds of Connectors, For Any Data SourceSales & Service Big Data

Human Resources

Web Protocols & API

ERP & Financials

B2B

Marketing

Social

IT & Admin

Analytics

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

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

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”

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

AWS + Informatica Customers

Thank you!