A modern Big Data architecture involves extending your on-premises data management to AWS, implementing a data pipeline to stream real-time data into cloud data warehouse Amazon Redshift, perform data transformation, discovery, predictive analytics through machine learning, visualize complex information and be notified to respond to business events. This session is for APN Consulting Partners and organizations looking for ways to accelerate and modernize their Big Data projects. You will learn how to deploy and integrate AWS Services with Third-party Solutions in AWS Marketplace. Reduce your time to market by combining AWS services, open source software and ready-to-run on AWS solutions. Familiarity with Database technologies required. The session includes demonstrations and cooperative learning group activities.

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Comprehensive Big Data Architecture Made Easy:
The AWS Marketplace Intelligent Analytical System
Luis Daniel Soto, AWS.
@luisdans
AWS Re:INVENT HANDS-ON WORKSHOP
Kim Schmidt, President & CIO/Dataleader.io
@dataleader
GPSWKS301
November 28, 2017
AWS re:INVENT

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Big Data Workshop Audience and Goals
Workshop Audience:
• APN Consulting Partners
• Organizations of all sizes
Workshop Goals:
• Show you the benefits of integrating AWS services and solutions from AWS
Marketplace
• Exercise 1: Build a data pipeline that will stream live data into Amazon
Redshift
• Exercise 2: Leverage machine learning to generate predictive analytics
• Learn how to avoid common errors when building a Big Data Architecture

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What we’ll be doing today
1. Introduction (5 minutes)
2. Collect and Store Data (60 minutes)
• DEMO #1: Extending on-premise data load to AWS
• COLLABORATIVE TEAM EXERCISE: Building a data pipeline
3. Transform & Analyze (55 minutes)
• DEMO #2: Orchestrate, transform and aggregate data on Amazon Redshift
• COLLABORATIVE TEAM EXERCISE: Predictive Analytics with Machine Learning
• DEMO #3: Visualization of prediction output for real-time
4. Operations Management (25 minutes)
• PRESENTATION: AWS Marketplace Intelligent Analytical System
• DISCUSSION: Other challenges on building a end-to-end Big Data architecture
5. Workshop Wrap-up (5 minutes)
Collect & Store Transform
& Analyze
Operations
Management

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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 once its
needed
Limited resources
and capabilities to
experiment and
iterate
Processing all data in
various formats
Predicting future
required capacity
Make more intelligent
business decisions
Limited adoption due
to rigidity and
inflexibility of legacy
BI tools
Be able to run queries
quickly
Get to data-driven
results faster
What we hear from our customers
Big Data Architecture

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Immediate availability
Broad & deep capabilities
Trusted & secure
Large partner ecosystem
http://aws.amazon.com/mp
Big Data on AWS iAS

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DEMO 1: EXTEND YOUR ON-PREMISES
DATA MANAGEMENT TO AWS
Transform
& Analyze
Operations
Management
AWS MARKETPLACE: INTELLIGENT ANALYTICAL SYSTEM
Collect & Store

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SoftNAS Cloud High-Performance Cloud NAS

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• Software-only NAS virtual appliance
built for the cloud
• Full protocol support: CIFS, NFS, AFP,
iSCSI
• High Availability
• Snapshots / Rollbacks
• Replication
• Deduplication
• Compression
• Price and Performance Tunable
• Active Directory / LDAP integration
• Scales from Gigabytes to Petabytes
SoftNAS Cloud Virtual NAS Overview

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Transform
& Analyze
Operations
Management
Collect & Store
WORKSHOP ACTIVITY 1: CREATING A
REAL-TIME STREAMING DATA PIPELINE
AWS MARKETPLACE: INTELLIGENT ANALYTICAL SYSTEM

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1. See how to use serverless AWS Lambda to transform streaming data from a
sample weblog generator
2. Define an Amazon Kinesis Firehose Delivery Stream
3. Set up Amazon Kinesis Streams
4. Monitor the live stream using Amazon CloudWatch
5. Query the data in Amazon Redshift via a customized command line
Collaborative Team Exercise #1

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Operations
Management
Collect & Store
DEMO 2: MPP DATA TRANSFORMATION
& ORCHESTRATION
AWS MARKETPLACE: INTELLIGENT ANALYTICAL SYSTEM
Transform
& Analyze

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Operations
Management
Collect & Store
WORKSHOP ACTIVITY 2:
PREDICTIVE ANALYTICS
AWS MARKETPLACE: INTELLIGENT ANALYTICAL SYSTEM
Transform
& Analyze

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1. Query data in Amazon S3
2. Design a predictive scoring formula using PredicSis.ai
3. Compute predictive models to apply to real-time customer data that can
be used to discover outliers who are ready right now to buy a Tesla
Collaborative Team Exercise #2

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Operations
Management
Collect & Store
DEMO 3: REAL-TIME DATA
VISUALIZATIONS AND ALERTS
AWS MARKETPLACE: INTELLIGENT ANALYTICAL SYSTEM
Transform
& Analyze

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Collect & Store
OPERATIONS MANAGEMENT
AWS MARKETPLACE: INTELLIGENT ANALYTICAL SYSTEM
Transform
& Analyze
Operations
Management

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iAS: System Architecture and Design

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GROUP DISCUSSION
AWS MARKETPLACE: INTELLIGENT ANALYTICAL SYSTEM
• What challenges is my customer/organization facing
in building a Big Data Architecture?
• What capabilities is my organization missing?
• What parts would I want to further customize?
Collect & Store Transform
& Analyze
Operations
Management

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Key Takeaways
There is an increase of importance on new Big Data capabilities including:
• Securely combining data residing on-premises with Cloud applications
• Abandon historical-only business analysis to include predictive and other modern analytics to
immediately act upon key business insights
• Break down data silos and harness data in real time from all over the globe
• The importance of building a modular Big Data architecture
AWS Marketplace enables agility and experimentation
• Combining AWS services with solutions in AWS Marketplace are “pieces of the puzzle” that
can be replaced whenever newer products and services are released
• Easily evaluate innovative software solutions, pay only for what you use
Download the step-by-step guide for the Intelligent Analytical System (iAS)
• https://aws.amazon.com/mp/mp_solution
• https://aws-kimsshmidt.com

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Thank you!
@ l u i s d a n s
@ d a t a l e a d e r
http://aws.amazon.com/mp