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High Performance Big Data Loading
for AWS: Deep Dive and Best
Practices from Informatica
Ajay Gandhi, VP Cloud Product Marketing
Nicolas Brisoux, Sr. Cloud Platform Specialist
Roderick Clemente, Product Specialist
July 10th, 2014
Why Are Customers Adopting Cloud and AWS?
1.
Cost savings
through economics
of scale
Don’t have to
guess on capacity
3.
Agility, Speed to
market & Flexibility
4.
Global in minutes
5.
2.
Trade capital
expense for
variable expense
Security and
Compliance
6.
3
So, How Do You Try Redshift – Quickly & Easily?
Amazon Redshift
4
Amazon Redshift
ERP, CRM Apps
Files
Legacy, RDBMS
Firewall
Logs, JSONs, Social
SaaS Apps
Use New Cloud & Traditional Data Sources
5
How To Manage Integration In This New World?
Amazon Redshift
ERP, CRM Apps
Files
Legacy, RDBMS
Firewall
Experiment.
Prototype.
Repeat.
Logs, JSONs, Social
SaaS Apps
AWS RDS Staging, Redshift DW, Infa Cloud
ERP, CRM Apps
Files
Legacy, RDBMS
Amazon
RDS
Logs, JSONs, Social
SaaS Apps
Experiment.
Prototype.
Repeat.
Amazon
Redshift
Map Once. Deploy Anywhere.
ON PREMISE HADOOP 3rd PARTY
APPLICATIONS
CLOUD
AWS EMR (Hadoop) and DynamoDB (NoSQL)
ERP, CRM Apps
Files
Legacy, RDBMS
Amazon
RDS
Amazon
Redshift
Amazon
EMR
Logs, JSONs, Social
SaaS Apps
Dynamo
DB
Growth Path to Hybrid Data Warehouse
ERP, CRM Apps
Files
Legacy, RDBMS
Amazon
RDS
Amazon
Redshift
Amazon
EMR
Logs, JSONs, Social
SaaS Apps
Dynamo
DB
Traditional
Staging
DB
Traditional
Data
Warehouse
Informatica Cloud - Get it right. Go live. Grow flexibly.
Cloud
Data Integration
Cloud
Real-time
Integration
Cloud Test
Data
Management
Cloud
Data
Quality
Cloud Master
Data
Management
Secure
Development Data
Leverage Existing
Bulk Data
Cleanse and
De-dupe Data
Consolidate and
Visualize Data
Instant Access to
Actionable Data
“The Informatica Cloud Platform is the only complete solution for cloud integration and data management
that allows SaaS application administrators, architects, and developers to easily power optimal processes
connected with enterprise-ready data across cloud, on-premises, big data, social, and mobile environments.”
Hundreds of Connectors
JDBC
Technical Innovations for AWS Data Loading
• Out-of-the-box integration for S3, DynamoDB, Kinesis, Redshift and
RDS available NOW!
• Agile data loading for cloud data warehousing with Redshift
• Create target using cloud designer and multiple source objects
• High performance parallel data loading architecture
• E.g. load data in parallel across all 32 nodes in a Redshift cluster
• Push down optimization for increased throughput
• Push data transformations down to optimal source/target database engine
©2013 Informatica. Proprietary and Confidential 12
Loading data into
REDSHIFT,
DYNAMODB and RDS
2
Informatica Cloud Architecture Overview- Redshift
4Secure
Agent
Your Company or VPC
Amazon
Redshift
1
Amazon
RDSAmazon S3 Amazon
DynamoDB
3
Informatica Cloud Amazon Redshift Architecture
Firewall
Informatica Cloud
Secure Agent
Metadata Mappings
Build mapping and execute job
1
1
Retrieve Account Data
2
2
3 Put Account Data into Flat File
4 Transfer compressed Flat File to S3
5 Initiate copy from S3
6 Load data into Amazon Redshift
6
3
54
Amazon S3 Amazon Redshift
REDSHIFT and RDS
DEMO!
REDSHIFT and
DYNAMODB DEMO!
Loading data into
KINESIS
1 0 1010
1 0 1010
1 0 1010
1 0 1010
1 0 1010
1 0 1010
KINESIS
IoT: Operational Intelligence
Documents and
files
pdf DOC XLS EDI
Documents and
files
pdf DOC XLS EDI
Machine device,
cloud
Machine device,
cloud
Social media, web
Logs
Social media, web
Logs
Machine device,
cloud
Social media, web
Logs
Documents and
files
pdf DOC XLS EDI
Documents and
files
pdf DOC XLS EDI
Machine device,
cloud
Social media, web
Logs
Documents and
files
pdf DOC XLS EDI
Machine device,
cloud
Social media, web
Logs
aws
amazon
kinesis
Documents and
files
pdf DOC XLS EDI
Documents and
files
pdf DOC XLS EDI
Machine device,
cloud
Machine device,
cloud
Social media, web
Logs
Social media, web
Logs
Machine device,
cloud
Social media, web
Logs
Documents and
files
pdf DOC XLS EDI
Documents and
files
pdf DOC XLS EDI
Machine device,
cloud
Social media, web
Logs
Documents and
files
pdf DOC XLS EDI
Machine device,
cloud
Social media, web
Logs
aws
amazon
kinesis
Streaming Collection: Vibe Data Stream
VD
S
VD
S
VD
S
• Central Monitoring Console for
Deployment
• Fault Tolerant
• High Availability
• Vertical &
Horizontal
Scaling
• Ease of
Configuration
Industrial
Systems
IoT devices
Social media, web
Logs
aws
amazon
kinesis
HVAC
KINESIS DEMO!
Try it today:
community.informatica.com/solutions/
vibe_data_stream_for_kinesis
Next Steps
• Visit us at Booth# 107 to
see more demos
• Try our 60-Day free trial
for Redshift
• www.informaticacloud.com
/cloud-trial-for-redshift
26
Q & A
InformaticaCloud.com
High Performance Big Data Loading for AWS: Deep Dive and Best Practices from Informatica

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High Performance Big Data Loading for AWS: Deep Dive and Best Practices from Informatica

  • 1. High Performance Big Data Loading for AWS: Deep Dive and Best Practices from Informatica Ajay Gandhi, VP Cloud Product Marketing Nicolas Brisoux, Sr. Cloud Platform Specialist Roderick Clemente, Product Specialist July 10th, 2014
  • 2. Why Are Customers Adopting Cloud and AWS? 1. Cost savings through economics of scale Don’t have to guess on capacity 3. Agility, Speed to market & Flexibility 4. Global in minutes 5. 2. Trade capital expense for variable expense Security and Compliance 6.
  • 3. 3 So, How Do You Try Redshift – Quickly & Easily? Amazon Redshift
  • 4. 4 Amazon Redshift ERP, CRM Apps Files Legacy, RDBMS Firewall Logs, JSONs, Social SaaS Apps Use New Cloud & Traditional Data Sources
  • 5. 5 How To Manage Integration In This New World? Amazon Redshift ERP, CRM Apps Files Legacy, RDBMS Firewall Experiment. Prototype. Repeat. Logs, JSONs, Social SaaS Apps
  • 6. AWS RDS Staging, Redshift DW, Infa Cloud ERP, CRM Apps Files Legacy, RDBMS Amazon RDS Logs, JSONs, Social SaaS Apps Experiment. Prototype. Repeat. Amazon Redshift
  • 7. Map Once. Deploy Anywhere. ON PREMISE HADOOP 3rd PARTY APPLICATIONS CLOUD
  • 8. AWS EMR (Hadoop) and DynamoDB (NoSQL) ERP, CRM Apps Files Legacy, RDBMS Amazon RDS Amazon Redshift Amazon EMR Logs, JSONs, Social SaaS Apps Dynamo DB
  • 9. Growth Path to Hybrid Data Warehouse ERP, CRM Apps Files Legacy, RDBMS Amazon RDS Amazon Redshift Amazon EMR Logs, JSONs, Social SaaS Apps Dynamo DB Traditional Staging DB Traditional Data Warehouse
  • 10. Informatica Cloud - Get it right. Go live. Grow flexibly. Cloud Data Integration Cloud Real-time Integration Cloud Test Data Management Cloud Data Quality Cloud Master Data Management Secure Development Data Leverage Existing Bulk Data Cleanse and De-dupe Data Consolidate and Visualize Data Instant Access to Actionable Data “The Informatica Cloud Platform is the only complete solution for cloud integration and data management that allows SaaS application administrators, architects, and developers to easily power optimal processes connected with enterprise-ready data across cloud, on-premises, big data, social, and mobile environments.”
  • 12. Technical Innovations for AWS Data Loading • Out-of-the-box integration for S3, DynamoDB, Kinesis, Redshift and RDS available NOW! • Agile data loading for cloud data warehousing with Redshift • Create target using cloud designer and multiple source objects • High performance parallel data loading architecture • E.g. load data in parallel across all 32 nodes in a Redshift cluster • Push down optimization for increased throughput • Push data transformations down to optimal source/target database engine ©2013 Informatica. Proprietary and Confidential 12
  • 14. 2 Informatica Cloud Architecture Overview- Redshift 4Secure Agent Your Company or VPC Amazon Redshift 1 Amazon RDSAmazon S3 Amazon DynamoDB 3
  • 15. Informatica Cloud Amazon Redshift Architecture Firewall Informatica Cloud Secure Agent Metadata Mappings Build mapping and execute job 1 1 Retrieve Account Data 2 2 3 Put Account Data into Flat File 4 Transfer compressed Flat File to S3 5 Initiate copy from S3 6 Load data into Amazon Redshift 6 3 54 Amazon S3 Amazon Redshift
  • 19. 1 0 1010 1 0 1010 1 0 1010 1 0 1010 1 0 1010 1 0 1010 KINESIS IoT: Operational Intelligence
  • 20. Documents and files pdf DOC XLS EDI Documents and files pdf DOC XLS EDI Machine device, cloud Machine device, cloud Social media, web Logs Social media, web Logs Machine device, cloud Social media, web Logs Documents and files pdf DOC XLS EDI Documents and files pdf DOC XLS EDI Machine device, cloud Social media, web Logs Documents and files pdf DOC XLS EDI Machine device, cloud Social media, web Logs aws amazon kinesis
  • 21. Documents and files pdf DOC XLS EDI Documents and files pdf DOC XLS EDI Machine device, cloud Machine device, cloud Social media, web Logs Social media, web Logs Machine device, cloud Social media, web Logs Documents and files pdf DOC XLS EDI Documents and files pdf DOC XLS EDI Machine device, cloud Social media, web Logs Documents and files pdf DOC XLS EDI Machine device, cloud Social media, web Logs aws amazon kinesis
  • 22. Streaming Collection: Vibe Data Stream VD S VD S VD S • Central Monitoring Console for Deployment • Fault Tolerant • High Availability • Vertical & Horizontal Scaling • Ease of Configuration Industrial Systems IoT devices Social media, web Logs aws amazon kinesis HVAC
  • 25. Next Steps • Visit us at Booth# 107 to see more demos • Try our 60-Day free trial for Redshift • www.informaticacloud.com /cloud-trial-for-redshift 26