Do you need to make sense of increasing volumes of data coming from a variety of sources like web logs, sensor data, social media monitoring and mobile apps? Jaspersoft BI reporting, analytics and dashboard tools integrate with the Amazon Redshift data warehouse service, so you can visually analyze data right from your web browser.
The payment model is ‘pay by the hour’, with no up-front hardware or software costs. And from less than $1/hour. Jaspersoft also integrates with other AWS data sources such as Amazon RDS and Amazon EMR. You’ll also hear from a Jaspersoft/Amazon Redshift customer, Kony, who will share their insights and best practices based on their experience.
What you'll learn:
• How Redshift is architected and how to leverage it
• How to use Jaspersoft reporting, analytics and dashboarding tools for Amazon Redshift, and other AWS data sources
• A customer’s perspective, from an active customer that’s done the learning for you.
Who should view:
• Solution Architects, Development Leads, Developers and other Technical IT Leaders.
3. Webinar Overview
Submit Your Questions using the Q&A tool.
A copy of today’s presentation will be made available on:
AWS SlideShare Channel@ http://www.slideshare.net/AmazonWebServices/
AWS Webinar Channel on YouTube@ http://www.youtube.com/channel/UCT-nPlVzJI-
ccQXlxjSvJmw
4. Rahul Pathak
Senior Product Manager Amazon
Web Services
Ben Connors
Worldwide Head of Alliances,
Jaspersoft
Presenters
Assaf Broitman
Sr. Mgr. Alliances Product Strategy
Jaspersoft
Matthew Terry
Product Director
Kony
5. Overview of Amazon Redshift
Overview of Jaspersoft BI platform
Demo: Jaspersoft/AWS Integration
Case Study of Kony: Reporting & Analysis in the Cloud
Q&A
What We’ll Cover
10. RDS for Production Workloads
Amazon RDS
Configuration
Improve
Availability
Increase
Throughput
Reduce
Latency
Push-Button Scaling
Multi AZ
Read Replicas
Provisioned IOPS
Read ReplicasPush-Button Scaling Provisioned IOPS
Region
Multi-AZ
availability
zone
availability
zone
12. Common Customer Use Cases
• Reduce costs by extending
DW rather than adding HW
• Migrate completely from
existing DW systems
• Respond faster to business;
provision in minutes
• 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 & SW costs by
an order of magnitude
Traditional Enterprise DW Big Data/Data Science SaaS Companies
14. Amazon Redshift architecture
• Leader Node
– SQL endpoint
– Stores metadata
– Coordinates query execution
• Compute Nodes
– Local, columnar storage
– Execute queries in parallel
– Load, backup, restore via
Amazon S3
– Parallel load from Amazon DynamoDB
• Hardware optimized for data
processing
• Two hardware platforms
– DW1: HDD; scale from 2TB to 1.6PB
– DW2: SSD; scale from 160GB to 256TB
10 GigE
(HPC)
Ingestion
Backup
Restore
JDBC/ODBC
15. • Optimized for I/O intensive workloads
• High disk density
• On demand at $0.85/hour
• As low as $1,000/TB/Year
• Scale from 2TB to 1.6PB
DW1.XL: 16 GB RAM, 2 Cores
3 Spindles, 2 TB compressed storage
DW1.8XL: 128 GB RAM, 16 Cores, 24
Spindles 16 TB compressed, 2 GB/sec scan
rate
• High performance at smaller storage size
• High compute and memory density
• On demand at $0.25/hour
• As low as $5,500/TB/Year
• Scale from 160GB to 256TB
DW2.L *New*: 16 GB RAM, 2 Cores,
160 GB compressed SSD storage
DW2.8XL *New*: 256 GB RAM, 32 Cores,
2.56 TB of compressed SSD storage
Amazon Redshift node types
16. Amazon Redshift has security built-in
• SSL to secure data in transit
• Encryption to secure data at rest
– AES-256; hardware accelerated
– All blocks on disks and in Amazon S3
encrypted
– HSM Support
• No direct access to compute nodes
• Audit logging & AWS CloudTrail
integration
• Amazon VPC support
10 GigE
(HPC)
Ingestion
Backup
Restore
Customer VPC
Internal
VPC
JDBC/ODBC
17. Amazon Redshift continuously backs up your data and
recovers from failures
• Replication within the cluster and backup to Amazon S3 to maintain multiple
copies of data at all times
• Backups to Amazon S3 are continuous, automatic, and incremental
– Designed for eleven nines of durability
• Continuous monitoring and automated recovery from failures of drives and nodes
• Able to restore snapshots to any Availability Zone within a region
• Easily enable backups to a second region for disaster recovery
31. • Founded in 2007
• First product released in 2009
• 1440 employees
• 425 customers
• 600% growth in past two years
(fastest in the industry)
600+
published apps
20 million+
app users every day
1 billion+
annual user sessions
Top 20
global SI partners
A Leader in the 2013
Magic Quadrant for Mobile App
Development Platforms
33. Run everywhere.
Mobile
Tablets
Desktops and Kiosks
Build everywhere.
Broad Native Support
Web (mobile + desktop)
Single Page
Architecture
Standard
Mixed Mode
Hybrid
Individual, device-optimized sites
MBaaS
Messaging Sync Integration
Write once.
A single code base.
34. Public Cloud Managed Private Cloud On-Premise
Kony Multi-Channel Experience Cloud
Kony Development
Cloud
Kony Visualization
Cloud
Kony Management
Cloud
Kony Apps Cloud
Customer Apps Enterprise Apps SaaS Foundation
Kony Cloud Foundation