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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How Citrix Uses AWS Marketplace
Solutions To Accelerate Analytic
Workloads on AWS
M S C 2 0 3
N o v e m b e r 2 8 , 2 0 1 7
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agenda
What We Hear from Customers
AWS Marketplace
Business Intelligence and Data Analytics Solutions for AWS
Data Integration
Analysis and Visualization
Advanced Analytics
IT Operational Intelligence
Summary and Takeaways
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
BI & Big Data Overview
The landmark for big data is more and more organizations storing,
processing, and extracting value from data of all forms and sizes. In
2017, systems that support large volumes of both structured and
unstructured data will continue to rise. The market will demand
platforms that help data custodians govern and secure big data while
empowering users to analyze that data.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
What We Hear from Customers
GENERATE COLLECT STORE ANALYZE/PROCESS CONSUME
Increasing variety of
sources
Little visibility into new
data
Myopic view of existing
data
Difficulty consolidating
data across different
sources and locations
Challenges
normalizing/
transforming/
aggregating data into a
standardized format
Unable to capture
and/or process data as
quickly as it is being
generated
Unfamiliarity with modern
data management
techniques
Lack of necessary skills to
implement and maintain
new technologies
Scaling IT infrastructure
Inability to process
data in a timely manner
when it is needed
Limited resources and
capabilities to
experiment and iterate
Processing all data in
various formats
Predicting future
required capacity
Limited adoption due to
rigidity and inflexibility of
legacy BI tools
Make more intelligent
business decisions
Be able to run queries
quickly
Get to data-driven
results faster
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Marketplace
F i nd , buy, d epl oy, and manage software i n the cl oud
• Deploy software on demand via website or
Amazon EC2 Console
• Curated software from trusted vendors
• 1280+ ISVs
• 4200+ product listings
• Simplified procurement and deployment
• Billed through Amazon Web Services (AWS)
account
• Deployed in 15 regions around the world
• 160,000 active customers
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Marketplace Capabilities
S o f t w a r e d i s c o v e r y p r o c u r e m e n t a n d d e p l o y m e n t s i m p l i f i e d
Pay options such as
pay-as-you-go pricing
• Pay only for what you use
• Integrate software costs
into AWS bill
• Pay by user, host, or data
• Upgrade to longer terms for
subscription discounts
• SAAS multi-year contracts
Be flexible
• Easily scale up or down
on-demand
• Test and learn without material
commitments
• Use only what you need without
wasting unused licenses
• Resources tagged and visible in
Spend Management tools
Get the software
you need in minutes
• Test in minutes
• Innovate faster
• Ready-to-run on AWS
• Simplify migration to the cloud
• Leverage BYOL investments
• Convert from Test to Buy
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Marketplace flexible pricing options
Hourly
Consumption-based
software with no
long-term
commitments.
Ideal for Dev/Test or
spikey workloads.
Monthly
Monthly terms
available, with the
option to upgrade to
annual or multi-year
contracts for SaaS
and API products.
Ideal for temporary
projects and baseline
workloads.
Free Trial
Get started quickly
with no
commitment.
Good for initial
evaluation.
Private Offers
Negotiated pricing
between customer &
ISV and fulfilled on
AWS Marketplace.
Intended for high value
transactions
BYOL
Leverage existing
investments through
bring-your-own-
license to simplify
cloud deployment.
Important for
customers migrating
to AWS.
Annual/
Multi-Year
Long term contracts
include one, two, and
three year options.
Ideal for long-term
workloads.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Popular Categories and Leading Brands
Most Often Deployed in Projects
Security BIStorage MediaDatabaseNetworking DevOps
Operating
Systems
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ANALYSIS & VISUALIZATION ADVANCED ANALYTICS
Extract valuable information from
your historical and current data
Predict future business
performance; location, text, social,
sentiment analysis
IT OPERATIONAL
INTELLIGENCE
Discover complex patterns in high
volumes of often "noisy" IT system
availability and performance data
Get to data-driven results faster by decreasing the time it takes to plan, forecast, and make decisions.
Solutions in AWS Marketplace
DATA INTEGRATION
Extract, migrate, or prepare and clean
your data for accurate analysis
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Immediate availability
Broad and deep capabilities
Trusted and secure
Large partner ecosystem
http://aws.amazon.com/mp
Big Data on AWS iAS
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
DATA INTEGRATION
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
One-Time Data Transfer to AWS
Whether your business is large or small, your data needs to be securely stored, and you have options on how to move your data to the cloud. Here are options
you can choose, depending on the amount of data you have.
With free trials and pay-as-you-go pricing, it’s quick and easy to get started. Visit
https://aws.amazon.com/mi/datatransfer for more information about One-Time Data Transfer software on AWS
AWS Snowball and Snowball Edge:
These two services are great for moving
large amounts of data, especially Big
Data projects that have extremely large
storage volumes. AWS Snowball Edge
enables you to do pre-processing of data
by running AWS Lambda functions on
the data as it is copied.
Extract, Transform, and Load (ETL) Marketplace Solutions:
Enable you to simplify, automate, and accelerate data loading
Third-Party Transfer and Acceleration Services: Third-party
solutions enable you to move data of any size over any distance at
line speed
VPN Tunnels: Connect
on-premises data
center to cloud
providers through their
partnering network
service providers
AWS Snowmobile: This service
allows you to copy up to 100
petabytes of data into a 45-foot
long, ruggedized shipping
container, pulled by a semi-trailer
truck. This is much faster than
copying large amounts of data over
a network.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Supplemental Transactional Systems: These can
improve business performance by detecting and
reacting to business occurrences in real time
Mobile Apps and Big Data Analytics Projects: These
require up-to-the-minute data to maximize business
results
Data synchronization: Anyone with master data
management projects, data warehouses, analytical data
marts, and mainframe environments will want to
leverage data synchronization
Continuous availability: This is necessary to
safeguard high availability for the most widely used
transaction data stores, for cross-site workload
balancing, and for disaster recovery
Ongoing Data Replication
The right data-replication platform can save you time and your business money. AWS Marketplace offers a variety of
solutions that fit into almost every type of business:
To learn more about Data Replication and the solutions that are
available for your business, visit AWS Marketplace
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
With Amazon Redshift, ELT, rather than ETL, is a more
logical approach. Amazon Redshift is a columnar
database, so index and record location operations are
much faster. It’s also a parallel processing database, so
the transformations are carried out in parallel, not
sequentially, with multiple nodes handling multiple
transformations at the same time. These features
translate to benefits when integrating data and using
Amazon Redshift.
Amazon Redshift Native ETL/ELT
IT decision makers are familiar with ETL (Extract, Transform, Load) which is slightly different from ELT (Extract, Load, Transform). ELT leverages columnar data
store technology for faster transformations. If your company is using Amazon Redshift, then you are already using columnar data store.
With free trials and pay-as-you-go pricing, it’s quick and easy to get started. Visit
aws.amazon.com/mp/etl for more information about Data Integration Tools on AWS.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Data lakes can help you:
Converge all data sources including logs,
XML, multimedia, sensor data, binary,
social data, chat, and people data
Manage and track all available data and
metadata, including sources and
versioning
Authorize, audit, and grant access to
subsets of data safely and securely
Obtain more accurate analytics through
multiple approaches and data workflows
Scale to accommodate growing amounts
of data, data systems, networks and
processes
Data Lake
Get the most out of your big data. Data lake solutions help you store, manage, analyze, and extract data from
disparate sources and formats, while scaling to the size and needs of your business.
Find the Data Lake solution that’s right for your business on AWS Marketplace. With free trials and pay-
as-you-go pricing, it’s quick and easy to get started. Visit http://aws.amazon.com/mp/datalakes.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Matillion
Extract,
transform, & load
approach
Traditional
Extract,
transform, & load
approach
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Matillion ETL for Amazon Redshift
ETL/ELT natively built for Amazon Redshift
• Uses Amazon Redshift MPP architecture for fast performance and scalability
• Benefit: 50 percent reduction in ETL development and maintenance
Data Sources
• Amazon S3, Amazon RDS, Amazon Redshift Spectrum; multiple databases & APIs; Google
Analytics/AdWords, Salesforce, Netsuite, SAP, Microsoft Dynamics, Facebook, Twitter; leverage scripts
Features
• Integrates with AWS Services via SQS, SNS & Python; GIT integration; iterate, daisy-chain orchestrations
• Manage variables, control transactions, alerting, develop data quality
• Version control and live collaboration
• Watch data fly live and delve into the SQL built by drag-and-drop
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Sheeya Gem
Lead Database Engineer
Citrix
I n t r o d u c i n g
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Citrix ShareFile
Business Problem
• Started storing customer telemetry in Amazon Redshift in 2016
• Business needed enhanced reporting in Q1 2017
• Needed deeper insight into customer behavior, analytics, and visualization of the data
and to improve and tailor the product based on adoption and usage
Challenge
• Needed to correlate application telemetry data (in Amazon Redshift) with customer
data (in existing traditional relational database) to learn more about how customers
use the application
• Needed a platform that could be managed by analytics team
• Short timeline, speed was key
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Matillion Solution
Data
• Matillion moved relational data sources into Amazon Redshift and embellished event-
based data already in Amazon Redshift with customer and location information
Business Value
• New insights into application use
• Determined who was using the application when/how, and allowed Citrix to identify
popular features where they should allocate more resources
Speed
• Procured off AWS Marketplace in matter of minutes, quickly proved out value and
addressed the use case in weeks as opposed to months
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Account Active Use
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Partner Usage
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Feature Usage – Encrypted Emails
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Data Moved and Transformed by Matillion
• Total data rows moved from RDBMS: 10M
• Data transformed to date: 1.2 B
• Projected data rows to be moved by EOQ: 50M
• Projected data to be transformed by EOQ: 2B
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ANALYSIS & VISUALIZATION
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Report Generation Data Analysis & Visualizations Self-Service Business Intelligence
Analysis & Visualization on AWS Marketplace
aws.amazon.com/mp/reporting aws.amazon.com/mp/visualization aws.amazon.com/mp/selfservicebi
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thrive Market Scales from $0 - $100 Million in
14 Months
Thrive Market is a membership platform that is on a mission to make
healthy living affordable and accessible for every American family.
Thrive Market is an e-commerce start up with a mission:
to make healthy living affordable and accessible for every
American family
• Enabled rapid growth—from $0 – $100M in 14 months
• They now have a 360-degree view of their customers
that’s updated every hour using Amazon Redshift,
Tableau, and Matillion ETL
• The ability to scale and quickly prototype technologies
have them up and running in days
“AWS Marketplace enabled us to
fulfill our mission at a speed that
wouldn’t otherwise be possible.”
Nick Green
Co-Founder & Co-CEO
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ADVANCED ANALYTICS
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Route Optimization & Location Intelligence
Route Optimization solutions on AWS Marketplace can help improve your bottom line when it comes to logistics and shipping of your products.
The cloud-based, always-on model offers advantages over the existing batch or in-house processes.
To learn more about Route Optimization solutions, visit AWS Marketplace at
https://aws.amazon.com/mp/routeoptimization.
The overall value of the always-on,
cloud-based model includes:
• Accessibility 24 hours a day, 7 days
a week
• A better customer experience, with
more choices for delivery options
• Test multiple "what-if" scenarios to
help companies review the cost of
different route options and resource
availability
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Large amounts of historical data to train the deep
learning algorithms
A recurring need for predicting things such as cutting
costs, updating or improving processes, creating value
for customers, and driving sales
Deep Learning Frameworks
Organizations ranging from aerospace to healthcare to logistics are harnessing information of their unstructured data with deep learning software found on AWS
Marketplace.
Deep learning and neural network models can be applied across almost all of your business functions to speed up training, and to produce more accurate and in-
depth output. Best results are obtained when you have:
Visit https://aws.amazon.com/mp/ai for more information about Business Intelligence software on AWS.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Collaborative filtering: This approach relies on the
social interaction between users. The recommendations
are based on rakings provided by other users.
Content-Based Filtering: Recommendations made by
content-based filters use the individual user’s historical
information to inform choices displayed.
Clustering: With this approach, the recommendation
engine tries to build recommendations based on the
similarities between either the users or the items
themselves.
Categorization: This approach automatically groups
items together into categories using common attributes.
In categorization, the computer attempts to classify all
the items.
E-Commerce Product Recommendations
Product recommendations help to give your customers a shopping experience in which the most relevant products are displayed. Improve
your online store’s user experience with the right algorithm provided by engine recommendations software from AWS Marketplace.
Some common algorithms used for engine recommendations include:
Figure 1: Recommendation pipeline; green portion is open code running on AWS
For more information on how Recommendations Engine solutions can help improve the overall
ROI on your ecommerce site, visit aws.amazon.com/mp/recommendations.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Sage Human Capital Doubled their
Revenue with Half the Staff
Sage is a talent staffing and recruiting
company located in San Bruno, CA.
“TIBCO Jaspersoft in AWS
Marketplace enabled us to double
our revenue and cut our staffing
costs by 50%.”
• Used TIBCO Jaspersoft in AWS Marketplace to
implement a recruiting analytics solution
• Increased customer satisfaction due to visibility of the
entire candidate funnel
• They are now able to provide enterprise-class predictive
analytics and big data search services
Paul Grewal
CEO
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
IT Operational Intelligence
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Benefits of Operational Intelligence
• Discover patterns by comparing IT systems events
from multiple sources
• Harness live feeds and historical data
• Ability to detect important events within your IT
infrastructure
• Find trends and irregularities
• Gain a rich understanding of machine data
• Produce ad hoc reports
Operational Intelligence
Harness your machine data and realize the value with operational intelligence solutions. With the rising amount of machine-generated data and information, you
will benefit by the features operational intelligence software can provide.
Choose the right operational intelligence solution for your business on AWS Marketplace. With free trials
and pay-as-you-go pricing, it’s quick and easy to get started. Visit https://aws.amazon.com/mp/oi for more
information about Business Intelligence software on AWS.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Summary
Innovate faster and accelerate the implementation of your end-to-end Big Data architecture
There is an increase of importance on new Big Data capabilities including:
• Securely combining data residing on-premises with Cloud applications
• Populate and manage data from real-time sources
• Demand to go beyond analysis to act during key business moment
Find, evaluate, and deploy software in AWS Marketplace
• Shift to subscription: pay-as-you-go or SaaS contracts
Download the step-by-step guide for the Intelligent Analytical System:
https://aws.amazon.com/mp/mp_solution
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Q&A
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
THANK YOU!

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MSC203_How Citrix Uses AWS Marketplace Solutions To Accelerate Analytic Workloads on AWS

  • 1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. How Citrix Uses AWS Marketplace Solutions To Accelerate Analytic Workloads on AWS M S C 2 0 3 N o v e m b e r 2 8 , 2 0 1 7
  • 2. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Agenda What We Hear from Customers AWS Marketplace Business Intelligence and Data Analytics Solutions for AWS Data Integration Analysis and Visualization Advanced Analytics IT Operational Intelligence Summary and Takeaways
  • 3. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. BI & Big Data Overview The landmark for big data is more and more organizations storing, processing, and extracting value from data of all forms and sizes. In 2017, systems that support large volumes of both structured and unstructured data will continue to rise. The market will demand platforms that help data custodians govern and secure big data while empowering users to analyze that data.
  • 4. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. What We Hear from Customers GENERATE COLLECT STORE ANALYZE/PROCESS CONSUME Increasing variety of sources Little visibility into new data Myopic view of existing data Difficulty consolidating data across different sources and locations Challenges normalizing/ transforming/ aggregating data into a standardized format Unable to capture and/or process data as quickly as it is being generated Unfamiliarity with modern data management techniques Lack of necessary skills to implement and maintain new technologies Scaling IT infrastructure Inability to process data in a timely manner when it is needed Limited resources and capabilities to experiment and iterate Processing all data in various formats Predicting future required capacity Limited adoption due to rigidity and inflexibility of legacy BI tools Make more intelligent business decisions Be able to run queries quickly Get to data-driven results faster
  • 5. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Marketplace F i nd , buy, d epl oy, and manage software i n the cl oud • Deploy software on demand via website or Amazon EC2 Console • Curated software from trusted vendors • 1280+ ISVs • 4200+ product listings • Simplified procurement and deployment • Billed through Amazon Web Services (AWS) account • Deployed in 15 regions around the world • 160,000 active customers
  • 6. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Marketplace Capabilities S o f t w a r e d i s c o v e r y p r o c u r e m e n t a n d d e p l o y m e n t s i m p l i f i e d Pay options such as pay-as-you-go pricing • Pay only for what you use • Integrate software costs into AWS bill • Pay by user, host, or data • Upgrade to longer terms for subscription discounts • SAAS multi-year contracts Be flexible • Easily scale up or down on-demand • Test and learn without material commitments • Use only what you need without wasting unused licenses • Resources tagged and visible in Spend Management tools Get the software you need in minutes • Test in minutes • Innovate faster • Ready-to-run on AWS • Simplify migration to the cloud • Leverage BYOL investments • Convert from Test to Buy
  • 7. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Marketplace flexible pricing options Hourly Consumption-based software with no long-term commitments. Ideal for Dev/Test or spikey workloads. Monthly Monthly terms available, with the option to upgrade to annual or multi-year contracts for SaaS and API products. Ideal for temporary projects and baseline workloads. Free Trial Get started quickly with no commitment. Good for initial evaluation. Private Offers Negotiated pricing between customer & ISV and fulfilled on AWS Marketplace. Intended for high value transactions BYOL Leverage existing investments through bring-your-own- license to simplify cloud deployment. Important for customers migrating to AWS. Annual/ Multi-Year Long term contracts include one, two, and three year options. Ideal for long-term workloads.
  • 8. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Popular Categories and Leading Brands Most Often Deployed in Projects Security BIStorage MediaDatabaseNetworking DevOps Operating Systems
  • 9. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. ANALYSIS & VISUALIZATION ADVANCED ANALYTICS Extract valuable information from your historical and current data Predict future business performance; location, text, social, sentiment analysis IT OPERATIONAL INTELLIGENCE Discover complex patterns in high volumes of often "noisy" IT system availability and performance data Get to data-driven results faster by decreasing the time it takes to plan, forecast, and make decisions. Solutions in AWS Marketplace DATA INTEGRATION Extract, migrate, or prepare and clean your data for accurate analysis
  • 10. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Immediate availability Broad and deep capabilities Trusted and secure Large partner ecosystem http://aws.amazon.com/mp Big Data on AWS iAS
  • 11. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. DATA INTEGRATION
  • 12. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. One-Time Data Transfer to AWS Whether your business is large or small, your data needs to be securely stored, and you have options on how to move your data to the cloud. Here are options you can choose, depending on the amount of data you have. With free trials and pay-as-you-go pricing, it’s quick and easy to get started. Visit https://aws.amazon.com/mi/datatransfer for more information about One-Time Data Transfer software on AWS AWS Snowball and Snowball Edge: These two services are great for moving large amounts of data, especially Big Data projects that have extremely large storage volumes. AWS Snowball Edge enables you to do pre-processing of data by running AWS Lambda functions on the data as it is copied. Extract, Transform, and Load (ETL) Marketplace Solutions: Enable you to simplify, automate, and accelerate data loading Third-Party Transfer and Acceleration Services: Third-party solutions enable you to move data of any size over any distance at line speed VPN Tunnels: Connect on-premises data center to cloud providers through their partnering network service providers AWS Snowmobile: This service allows you to copy up to 100 petabytes of data into a 45-foot long, ruggedized shipping container, pulled by a semi-trailer truck. This is much faster than copying large amounts of data over a network.
  • 13. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Supplemental Transactional Systems: These can improve business performance by detecting and reacting to business occurrences in real time Mobile Apps and Big Data Analytics Projects: These require up-to-the-minute data to maximize business results Data synchronization: Anyone with master data management projects, data warehouses, analytical data marts, and mainframe environments will want to leverage data synchronization Continuous availability: This is necessary to safeguard high availability for the most widely used transaction data stores, for cross-site workload balancing, and for disaster recovery Ongoing Data Replication The right data-replication platform can save you time and your business money. AWS Marketplace offers a variety of solutions that fit into almost every type of business: To learn more about Data Replication and the solutions that are available for your business, visit AWS Marketplace
  • 14. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. With Amazon Redshift, ELT, rather than ETL, is a more logical approach. Amazon Redshift is a columnar database, so index and record location operations are much faster. It’s also a parallel processing database, so the transformations are carried out in parallel, not sequentially, with multiple nodes handling multiple transformations at the same time. These features translate to benefits when integrating data and using Amazon Redshift. Amazon Redshift Native ETL/ELT IT decision makers are familiar with ETL (Extract, Transform, Load) which is slightly different from ELT (Extract, Load, Transform). ELT leverages columnar data store technology for faster transformations. If your company is using Amazon Redshift, then you are already using columnar data store. With free trials and pay-as-you-go pricing, it’s quick and easy to get started. Visit aws.amazon.com/mp/etl for more information about Data Integration Tools on AWS.
  • 15. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Data lakes can help you: Converge all data sources including logs, XML, multimedia, sensor data, binary, social data, chat, and people data Manage and track all available data and metadata, including sources and versioning Authorize, audit, and grant access to subsets of data safely and securely Obtain more accurate analytics through multiple approaches and data workflows Scale to accommodate growing amounts of data, data systems, networks and processes Data Lake Get the most out of your big data. Data lake solutions help you store, manage, analyze, and extract data from disparate sources and formats, while scaling to the size and needs of your business. Find the Data Lake solution that’s right for your business on AWS Marketplace. With free trials and pay- as-you-go pricing, it’s quick and easy to get started. Visit http://aws.amazon.com/mp/datalakes.
  • 16. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Matillion Extract, transform, & load approach Traditional Extract, transform, & load approach
  • 17. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Matillion ETL for Amazon Redshift ETL/ELT natively built for Amazon Redshift • Uses Amazon Redshift MPP architecture for fast performance and scalability • Benefit: 50 percent reduction in ETL development and maintenance Data Sources • Amazon S3, Amazon RDS, Amazon Redshift Spectrum; multiple databases & APIs; Google Analytics/AdWords, Salesforce, Netsuite, SAP, Microsoft Dynamics, Facebook, Twitter; leverage scripts Features • Integrates with AWS Services via SQS, SNS & Python; GIT integration; iterate, daisy-chain orchestrations • Manage variables, control transactions, alerting, develop data quality • Version control and live collaboration • Watch data fly live and delve into the SQL built by drag-and-drop
  • 18. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Sheeya Gem Lead Database Engineer Citrix I n t r o d u c i n g
  • 19. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Citrix ShareFile Business Problem • Started storing customer telemetry in Amazon Redshift in 2016 • Business needed enhanced reporting in Q1 2017 • Needed deeper insight into customer behavior, analytics, and visualization of the data and to improve and tailor the product based on adoption and usage Challenge • Needed to correlate application telemetry data (in Amazon Redshift) with customer data (in existing traditional relational database) to learn more about how customers use the application • Needed a platform that could be managed by analytics team • Short timeline, speed was key
  • 20. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Matillion Solution Data • Matillion moved relational data sources into Amazon Redshift and embellished event- based data already in Amazon Redshift with customer and location information Business Value • New insights into application use • Determined who was using the application when/how, and allowed Citrix to identify popular features where they should allocate more resources Speed • Procured off AWS Marketplace in matter of minutes, quickly proved out value and addressed the use case in weeks as opposed to months
  • 21. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Account Active Use
  • 22. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Partner Usage
  • 23. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Feature Usage – Encrypted Emails
  • 24. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Data Moved and Transformed by Matillion • Total data rows moved from RDBMS: 10M • Data transformed to date: 1.2 B • Projected data rows to be moved by EOQ: 50M • Projected data to be transformed by EOQ: 2B
  • 25. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. ANALYSIS & VISUALIZATION
  • 26. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Report Generation Data Analysis & Visualizations Self-Service Business Intelligence Analysis & Visualization on AWS Marketplace aws.amazon.com/mp/reporting aws.amazon.com/mp/visualization aws.amazon.com/mp/selfservicebi
  • 27. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Thrive Market Scales from $0 - $100 Million in 14 Months Thrive Market is a membership platform that is on a mission to make healthy living affordable and accessible for every American family. Thrive Market is an e-commerce start up with a mission: to make healthy living affordable and accessible for every American family • Enabled rapid growth—from $0 – $100M in 14 months • They now have a 360-degree view of their customers that’s updated every hour using Amazon Redshift, Tableau, and Matillion ETL • The ability to scale and quickly prototype technologies have them up and running in days “AWS Marketplace enabled us to fulfill our mission at a speed that wouldn’t otherwise be possible.” Nick Green Co-Founder & Co-CEO
  • 28. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. ADVANCED ANALYTICS
  • 29. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Route Optimization & Location Intelligence Route Optimization solutions on AWS Marketplace can help improve your bottom line when it comes to logistics and shipping of your products. The cloud-based, always-on model offers advantages over the existing batch or in-house processes. To learn more about Route Optimization solutions, visit AWS Marketplace at https://aws.amazon.com/mp/routeoptimization. The overall value of the always-on, cloud-based model includes: • Accessibility 24 hours a day, 7 days a week • A better customer experience, with more choices for delivery options • Test multiple "what-if" scenarios to help companies review the cost of different route options and resource availability
  • 30. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Large amounts of historical data to train the deep learning algorithms A recurring need for predicting things such as cutting costs, updating or improving processes, creating value for customers, and driving sales Deep Learning Frameworks Organizations ranging from aerospace to healthcare to logistics are harnessing information of their unstructured data with deep learning software found on AWS Marketplace. Deep learning and neural network models can be applied across almost all of your business functions to speed up training, and to produce more accurate and in- depth output. Best results are obtained when you have: Visit https://aws.amazon.com/mp/ai for more information about Business Intelligence software on AWS.
  • 31. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Collaborative filtering: This approach relies on the social interaction between users. The recommendations are based on rakings provided by other users. Content-Based Filtering: Recommendations made by content-based filters use the individual user’s historical information to inform choices displayed. Clustering: With this approach, the recommendation engine tries to build recommendations based on the similarities between either the users or the items themselves. Categorization: This approach automatically groups items together into categories using common attributes. In categorization, the computer attempts to classify all the items. E-Commerce Product Recommendations Product recommendations help to give your customers a shopping experience in which the most relevant products are displayed. Improve your online store’s user experience with the right algorithm provided by engine recommendations software from AWS Marketplace. Some common algorithms used for engine recommendations include: Figure 1: Recommendation pipeline; green portion is open code running on AWS For more information on how Recommendations Engine solutions can help improve the overall ROI on your ecommerce site, visit aws.amazon.com/mp/recommendations.
  • 32. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Sage Human Capital Doubled their Revenue with Half the Staff Sage is a talent staffing and recruiting company located in San Bruno, CA. “TIBCO Jaspersoft in AWS Marketplace enabled us to double our revenue and cut our staffing costs by 50%.” • Used TIBCO Jaspersoft in AWS Marketplace to implement a recruiting analytics solution • Increased customer satisfaction due to visibility of the entire candidate funnel • They are now able to provide enterprise-class predictive analytics and big data search services Paul Grewal CEO
  • 33. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. IT Operational Intelligence
  • 34. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Benefits of Operational Intelligence • Discover patterns by comparing IT systems events from multiple sources • Harness live feeds and historical data • Ability to detect important events within your IT infrastructure • Find trends and irregularities • Gain a rich understanding of machine data • Produce ad hoc reports Operational Intelligence Harness your machine data and realize the value with operational intelligence solutions. With the rising amount of machine-generated data and information, you will benefit by the features operational intelligence software can provide. Choose the right operational intelligence solution for your business on AWS Marketplace. With free trials and pay-as-you-go pricing, it’s quick and easy to get started. Visit https://aws.amazon.com/mp/oi for more information about Business Intelligence software on AWS.
  • 35. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Summary Innovate faster and accelerate the implementation of your end-to-end Big Data architecture There is an increase of importance on new Big Data capabilities including: • Securely combining data residing on-premises with Cloud applications • Populate and manage data from real-time sources • Demand to go beyond analysis to act during key business moment Find, evaluate, and deploy software in AWS Marketplace • Shift to subscription: pay-as-you-go or SaaS contracts Download the step-by-step guide for the Intelligent Analytical System: https://aws.amazon.com/mp/mp_solution
  • 36. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Q&A
  • 37. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. THANK YOU!