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Reporting & Analytics in the Cloud:
A Customer’s Perspective
Welcome
Maya Cabassi
Partner Marketing Manager
Amazon Web Services
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
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
 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
Amazon RDS & Amazon Redshift
Rahul Pathak
Database Services
AWS Database
Services
Amazon RDS
Amazon DynamoDB Amazon Redshift
Amazon ElastiCache
Compute Storage
AWS Global Infrastructure
Database
Application Services
Deployment & Administration
Networking
Scalable High Performance
Application Storage in the Cloud
Why Managed Databases?
backup & recovery,
data load & unload
performance tuning
25%40%
5% 5%
scripting & coding
security
planning
install, upgrade,
patch and migrate
documentation,
licensing & training
Relational Databases
Fully managed; zero admin
MySQL, PostgreSQL, Oracle & SQL Server
Trillions of I/O requests/month
Amazon
RDS
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
Petabyte scale
Massively parallel
Relational data warehouse
Fully managed; zero admin
Amazon
Redshift
a lot faster
a lot cheaper
a whole lot simpler
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
Amazon Redshift Customers
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
• 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
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
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
The Intelligence Inside
©2010 Jaspersoft Corporation. Proprietary and Confidential 19
©2010 Jaspersoft Corporation. Proprietary and Confidential 20
Intelligence Inside
The 4 Barriers to Embedded Analytics
21
 Costly
 Complex to Deploy
 Complex to Use
 Complex to Embed
Solutions to Embedded BI Barriers
Cost: Utility Pricing
Deploy: Cloud
Use: Self-Service BI
Embed: JS/REST
©2014 Jaspersoft Corporation. Proprietary and Confidential 22
Jaspersoft BI High-Level Architecture
©2014 Jaspersoft Corporation. Proprietary and Confidential 23
Who is Jaspersoft?
 Commercial Open Source Reporting and Analytics
 Full BI suite including ETL, reporting, analytics, dashboards
 Core value proposition
 The Intelligence Inside
 By the numbers
 16M downloads, 100K per month
 350K community members
 Powering 130K production apps
 1,800 subscription customers
 The company
 High-growth startup
 200 employees, HQ in SF
24
Other winners include
iPad Mini, Hadoop,
HTML5. Only BI
vendor to win.©2014 Jaspersoft Corporation.
Jaspersoft AWS Focus
 Dedicated AWS Team
 Over 500 AWS Customers
 One of the highest ratings on AWS Marketplace
25©2014 Jaspersoft Corporation.
Design/Embed Any Report, Dashboard...
©2014 Jaspersoft Corporation. Proprietary and Confidential 26
… or Analytic View
27©2013 Jaspersoft Corporation. Proprietary and Confidential
POJO files
… using Any Data Type
Relational FilesRelational Big Data Files
©2014 Jaspersoft Corporation. Proprietary and Confidential 28
Redshift
 Jaspersoft is the first BI service that you can buy per hour
 No user limitations, no monthly fee,
 less than $1 per hour
 First BI service to automatically
connect to your AWS data
 10 minutes from purchase to visualizing your data in RDS or Redshift
 AWS Security Integration
 Released February, 2013
 Over 500 customers
 Sign up for free 30 day trial now at www.jaspersoft.com/amazon
©2013 Jaspersoft Corporation. Proprietary and Confidential 29
Jaspersoft Pro on AWS
Jaspersoft 5 Demo
30
“We've taken the
desktop power of data
visualization tools,
built it scale on the
HTML5 web, and
made it embeddable
within any app, device
or portal”
©2014 Jaspersoft Corporation. Proprietary and Confidential
• 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
Customers
Utilities/Energy Healthcare / Pharma Financial Services Consumer / Retail Insurance
Manufacturing Mining Services
/Government
Automotive Hospitality
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.
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
Kony Cloud – Analytics Dataflow
35©2014 Jaspersoft Corporation. Proprietary and Confidential
Amazon
EC2
Amazon Simple Storage
Service (S3)
Amazon
Redshift
Amazon SQS
End-user Devices Cloud Admin Console
Mobile
App
Kony Cloud – Analytics Demo
©2010 Jaspersoft Corporation. Proprietary and Confidential 36
Key Success Factors
Redshift
 Redshift performed extremely well during our performance tests of
millions of inserts per minute and report queries within 1-3 seconds
Jaspersoft
 The free Community Edition allowed easy evaluation and the AWS
Marketplace offering enabled us to get up and running quickly
Value
 Solution was delivered into QA testing within 4 weeks compared to 2-3
months for a custom solution
 New reports are delivered to production in 5 days compared to 3-4
weeks for other products using custom developed reports
©2010 Jaspersoft Corporation. Proprietary and Confidential 37
Questions
Contacts:
Jaspersoft Contact:
www.jaspersoft.com/amazon
cloud@jaspersoft.com
Kony Contact:
http://www.kony.com/contact
http://www.kony.com/trials
AWS Contact:
aws.amazon.com/contact-us
We’d like your feedback.
Please complete a short survey.
https://aws.asia.qualtrics.com/SE/?SID=SV_50cxnO
V9NGnVbsp

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AWS Partner Webcast - Reporting and Analytics in the Cloud

  • 1. Reporting & Analytics in the Cloud: A Customer’s Perspective
  • 2. Welcome Maya Cabassi Partner Marketing Manager Amazon Web Services
  • 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
  • 6. Amazon RDS & Amazon Redshift Rahul Pathak Database Services
  • 7. AWS Database Services Amazon RDS Amazon DynamoDB Amazon Redshift Amazon ElastiCache Compute Storage AWS Global Infrastructure Database Application Services Deployment & Administration Networking Scalable High Performance Application Storage in the Cloud
  • 8. Why Managed Databases? backup & recovery, data load & unload performance tuning 25%40% 5% 5% scripting & coding security planning install, upgrade, patch and migrate documentation, licensing & training
  • 9. Relational Databases Fully managed; zero admin MySQL, PostgreSQL, Oracle & SQL Server Trillions of I/O requests/month Amazon RDS
  • 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
  • 11. Petabyte scale Massively parallel Relational data warehouse Fully managed; zero admin Amazon Redshift a lot faster a lot cheaper a whole lot simpler
  • 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
  • 19. ©2010 Jaspersoft Corporation. Proprietary and Confidential 19
  • 20. ©2010 Jaspersoft Corporation. Proprietary and Confidential 20 Intelligence Inside
  • 21. The 4 Barriers to Embedded Analytics 21  Costly  Complex to Deploy  Complex to Use  Complex to Embed
  • 22. Solutions to Embedded BI Barriers Cost: Utility Pricing Deploy: Cloud Use: Self-Service BI Embed: JS/REST ©2014 Jaspersoft Corporation. Proprietary and Confidential 22
  • 23. Jaspersoft BI High-Level Architecture ©2014 Jaspersoft Corporation. Proprietary and Confidential 23
  • 24. Who is Jaspersoft?  Commercial Open Source Reporting and Analytics  Full BI suite including ETL, reporting, analytics, dashboards  Core value proposition  The Intelligence Inside  By the numbers  16M downloads, 100K per month  350K community members  Powering 130K production apps  1,800 subscription customers  The company  High-growth startup  200 employees, HQ in SF 24 Other winners include iPad Mini, Hadoop, HTML5. Only BI vendor to win.©2014 Jaspersoft Corporation.
  • 25. Jaspersoft AWS Focus  Dedicated AWS Team  Over 500 AWS Customers  One of the highest ratings on AWS Marketplace 25©2014 Jaspersoft Corporation.
  • 26. Design/Embed Any Report, Dashboard... ©2014 Jaspersoft Corporation. Proprietary and Confidential 26
  • 27. … or Analytic View 27©2013 Jaspersoft Corporation. Proprietary and Confidential
  • 28. POJO files … using Any Data Type Relational FilesRelational Big Data Files ©2014 Jaspersoft Corporation. Proprietary and Confidential 28 Redshift
  • 29.  Jaspersoft is the first BI service that you can buy per hour  No user limitations, no monthly fee,  less than $1 per hour  First BI service to automatically connect to your AWS data  10 minutes from purchase to visualizing your data in RDS or Redshift  AWS Security Integration  Released February, 2013  Over 500 customers  Sign up for free 30 day trial now at www.jaspersoft.com/amazon ©2013 Jaspersoft Corporation. Proprietary and Confidential 29 Jaspersoft Pro on AWS
  • 30. Jaspersoft 5 Demo 30 “We've taken the desktop power of data visualization tools, built it scale on the HTML5 web, and made it embeddable within any app, device or portal” ©2014 Jaspersoft Corporation. Proprietary and Confidential
  • 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
  • 32. Customers Utilities/Energy Healthcare / Pharma Financial Services Consumer / Retail Insurance Manufacturing Mining Services /Government Automotive Hospitality
  • 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
  • 35. Kony Cloud – Analytics Dataflow 35©2014 Jaspersoft Corporation. Proprietary and Confidential Amazon EC2 Amazon Simple Storage Service (S3) Amazon Redshift Amazon SQS End-user Devices Cloud Admin Console Mobile App
  • 36. Kony Cloud – Analytics Demo ©2010 Jaspersoft Corporation. Proprietary and Confidential 36
  • 37. Key Success Factors Redshift  Redshift performed extremely well during our performance tests of millions of inserts per minute and report queries within 1-3 seconds Jaspersoft  The free Community Edition allowed easy evaluation and the AWS Marketplace offering enabled us to get up and running quickly Value  Solution was delivered into QA testing within 4 weeks compared to 2-3 months for a custom solution  New reports are delivered to production in 5 days compared to 3-4 weeks for other products using custom developed reports ©2010 Jaspersoft Corporation. Proprietary and Confidential 37
  • 39. We’d like your feedback. Please complete a short survey. https://aws.asia.qualtrics.com/SE/?SID=SV_50cxnO V9NGnVbsp