Voice Powered Analytics: Data Analytics Week at the San Francisco Loft Build an Alexa skill that queries metrics from a data lake. We’ll uncover Key Performance Indicators (KPIs) from a data set, build and automate queries for measuring those KPIs, and access them with Alexa voice-enabled devices. Level: Intermediate Speaker: Rajakumar Sampathkumar - Sr. Technical Account Manager, AWS

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Tuesday, Nov 13, 2018
Voice Powered Analytics
Rajakumar Sampathkumar
Sr. Technical Account Manager
srajaku@amazon.com

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Voice Powered Analytics
https://github.com/awslabs/voice-powered-analytics

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Logistics
Check access to required products Quick talk about Athena and Alexa
Explore dataset Build Lambda, DynamoDB, and
Athena resources
Create Alexa skill
Review workshop architecture
We talk
(We’ll try and keep it short)
You Build

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Metrics
How
m
any tweets have
we
posted
in
the
last m
onth?
How many orders
have breached our
delivery SLA?
What page are visitors
viewing the most?
Which reseller has sold the
most products in the
last month?
How many ‘likes’ or ‘retweets’
have we received in the
last month?
What demographic is most
appealing
to our products?
How many 1 star
ratings have we received?
What is my monthly
revenue?
How many unique
monthly users have we had?
What time of the
day do we get the
most views?
What country has
bought the most
products in the last month?

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The Architecture
S3
CW Events
Lambda Firehose
Twitter API
Lambda
CW Events
DynamoDB
Athena
Lambda
Alexa

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Today’s workshop
S3
CW Events
Lambda Firehose
Twitter API
Lambda
CW Events
DynamoDB
Athena
Lambda
Alexa
Created in advance This workshop

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Athena
Amazon Athena is an interactive query service
that makes it easy to analyze data directly from
Amazon S3 using Standard SQL

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Why Athena?
• Decouple storage from compute
• Serverless – No infrastructure or resources to manage
• Pay only for data scanned
• Schema on read – Same data, many views
• Encrypted
• Standard compliant and open storage formats
• Built on powerful community supported OSS solutions

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Simple Pricing
• DDL operations – FREE
• SQL operations – FREE
• Query concurrency – FREE
• Data scanned - $5 / TB
• Standard S3 rates for storage, requests, and data transfer apply

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Familiar Technologies Under the Covers
Used for DDL functionality
Complex data types
Multitude of formats
Supports data partitioning
Hive compatible SerDe (Serializer/Deserializer)
Used for SQL Queries
In-memory distributed query engine
ANSI-SQL compatible with extensions

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How we get the data
CW Events Lambda Firehose S3
Twitter API

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How we query the data
S3
CW Events
Lambda Firehose
Twitter API
Lambda
CW Events
DynamoDB
Athena

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Creating an Alexa Skill
Voice User Interface Programming Logic
+
developer.amazon.com aws.amazon.com

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Voice User Interface: Utterance, Intent, Slots
What’s my
What are my
utterance
WhatsMyMetric
Intent slot value
reinvent twitter sentiment
mentions in the last hour
“Your metric, reinvent twitter sentiment is 250”
Sample Response

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How Alexa gets the data
S3
CW Events
Lambda Firehose
Twitter API
Lambda
CW Events
DynamoDB
Athena
Lambda
Alexa

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RECAP
We have broken the workshop into three sections or focus topics. These
are:
• Data Discovery using QuickSight
• Building Data Lake analytics in Athena (based on objects in S3) to
generate answers for Alexa
• Building a custom Alexa skill to access the analytics queries from
Athena

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Questions before we get started?