Reporting & Analytics in the Cloud: A Customer’s Perspective

Welcome

Maya Cabassi

Partner Marketing Manager

Amazon Web Services

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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 Replicas Push-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

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©2010 Jaspersoft Corporation. Proprietary and Confidential 20

Intelligence Inside

The 4 Barriers to Embedded Analytics

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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

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Jaspersoft BI High-Level Architecture

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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

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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...

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… or Analytic View

27 ©2013 Jaspersoft Corporation. Proprietary and Confidential

POJO files

… using Any Data Type

Relational Files Relational Big Data Files

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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

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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

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