2. Agenda
• Overview of Amazon Redshift by Mike
Ruiz, Solution Architect, AWS Emerging
Partner Team
• Overview of Attunity CloudBeam by
Rodan Zadeh, Director of Product
Management, Attunity
• Glidewell Customer Story by Mike Selberis,
CIO, Glidewell Dental Laboratories
3. Agenda
• Overview of Amazon Redshift by Mike
Ruiz, Solution Architect, AWS Emerging
Partner Team
11. Common customer use cases
• Reduce costs by
extending DW rather than
adding HW
• Respond faster to
business drivers by
avoiding procurement
loop.
• Improve performance by
an order of magnitude
• Make more data
available for analysis
• Access business data via
standard reporting tools
• Add analytic functionality
to applications
• Scale DW capacity as
demand grows
• Reduce HW and SW costs
by an order of magnitude
Extend On-Premise DW Companies with Big Data SaaS Companies
12. Redshift powers Clickstream Analytics for Amazon.com
• Performance
– Scan 2.25 trillion rows of data: 14 minutes
– Load 5 billion rows data: 10 minutes
– Backfill 150 billion rows of data: 9.75 hours
– Pig Amazon Redshift: 2 days to 1 hr
• 10B row join with 700 M rows
– Oracle Amazon Redshift: 90 hours to 8 hrs
• Reduced number of SQLs by a factor of 3
• Cost
– 1.6 PB cluster
– 100 node dw1.8xl (3-yr RI)
– $180/hr
• Complexity
– 20% time of one DBA
• Backup
• Restore
• Resizing
14. Agenda
• Overview of Attunity CloudBeam by
Rodan Zadeh, Director of Product
Management, Attunity
15. Right Data. Right Place. Right Time.
DW
HD
To Analytic Platform To Many Locations
To One Location
Enable Analytics Share & Distribute
Scale Reporting Consolidate
Away from
OLTP
16. Attunity CloudBeam – Highlights
• Simplicity – Automated, “Click-to-Load” Solution
• Performance – Optimized data transfer
• Real-time Data – Incremental/Continuous data loads
• Free Trial – “Try before you Buy”
• One-Stop Shop – Integrated into the AWS Redshift
16
17. Attunity CloudBeam – Solutions for AWS
• Amazon Redshift:
– Load data for BI / Analytics
– One time and incrementally
• Amazon RDS / DBs on EC2:
– Migrate data from on-premise data centers
– Enable disaster recovery (on-premise to cloud)
• Amazon S3:
– Transfer data for archiving, storage, content availability
– Enable disaster recovery
18. Attunity CloudBeam for Amazon Redshift & S3
Simplicity: Automated,
Click-2-Load Solution
Performance: Optimized
data transfer
Real-time: Continuous
data loads
Free Trial: Try before you
Buy
1-Stop-Shop: Integrated
with AWS Marketplace
Pricing Options: Express (hourly), Premium (hourly) and BYOL
19. How Attunity CloudBeam Works
1. Extract data from source database
2. Apply filters and transformations
3. Generate data files for transfer
4. Make optimized transfer to Amazon S3
5. Orchestrate COPY and MERGE for Amazon
Redshift
6. Provide CDC (change data capture) for
incremental loading AWS Region
EC2 Machine
M3.Large
Attunity AMI
RedshiftS3
On-Premises
Source DB(s)
21. Glidewell Laboratories
• Founded in 1970 and based in California
• Largest dental lab in the United States with a market presence in Europe and
Latin America
• Provides high-quality dental lab products, services, and materials to dental
professionals
• Over 4K employees worldwide
• Over 3M custom units processed and manufactured annually
22. Technology
• Hybrid cloud environment with multiple on-premise datacenters
and AWS as public cloud provider
• Use Attunity CloudBeam to synchronize data between on-
premises databases and Amazon Redshift
• Provide end users with timely access to data on Amazon Redshift
to support business analytics and business intelligence
• Tableau Software and Dundas Dashboards are used for analytics
and data visualization
24. Glidewell Data Explosion
• Lab management system (ERP/CRM)
• Case tracking, logistics, technician performance
• Manufacturing data (CAD/CAM)
• Manufacturing Automation
• Robotics
• Cloud-based manufacturing system (CloudPoint)
• IoT (Future)
Introduction of Digital Manufacturing
25. Our Challenge
• Managing an explosion of data and disparate data
sources
• Bridging on-premise data with cloud-generated data
• Providing a robust data analytics platform for our
employees, customers, and engineers
• Development resource constraints
• Global expansion
• Speed of action
26. Our Solution
Dundas
Dashboards
Tableau
Analytics
Ad Hoc reporting
and analysis
Amazon Redshift
Transactional Data
(ERP/CRM)
CloudPoint
Customer DataScan, Design,
& Manufacturing Data
Scan, Design,
& Manufacturing Data
Legacy Manufacturing Data
27. Glidewell Laboratories Moves Data to Amazon
Redshift with Attunity CloudBeam
Click here to watch the
recorded webinar