Take a peek into the future of IT - beyond Serverless Software Development, when Serverless becomes a way to run Internal IT. When ServerlessToronto.org invited Joe Emison - AWS Serverless Hero, we expected to see how he "knocked down the wall" between AWS & Google Clouds (to query Amazon DynamoDB from Google BigQuery) using the Fivetran ELT tool, but we learned so much more... and you will too: https://youtu.be/GK5Ivm6EOlI

1. 1

2. Welcome to ServerlessToronto.org
2
Introduce Yourself:
- Where from? Why are you here?
- Looking for, or Offering work?
Fill the survey to win prises!
May 10, 2021: “Running (Business
Analytics for) a Serverless Insurance
Company” starts at 18:10pm…

3. Serverless Evolution (since FaaS started)
3
Serverless is New Agile & Mindset
#1 We started as Back-
end FaaS (Serverless)
Developers who enjoyed
“gluing” other people’s
APIs and Managed
Services)
#3 We're obsessed by
creating business value
(meaningful MVPs,
Products), focusing on
Outcomes – NOT
Outputs, and we mesh
well with Product
Managers
#2 We build bridges
between Serverless
Community (“Dev leg”),
and Front-end, Voice-First
& UX folks (“UX leg”)
#4 Achieve agility NOT
by “sprinting” faster
(like in Scrum), but
working smarter (by
using bigger building
blocks and less Ops)

4. Disconnect between IT & Business needs
4
How to help companies accelerate?
Technology is not the point => We are here to create Value
Adopting Serverless Mindset allowed us to shift the focus from “pimping
up our cars” (infrastructure/code), towards “driving” (the business) forward.
≠

5. Let’s bridge the Businesses & IT Gap by:
5
1. bringing more Business-focused
topics (like one today) to educate,
2. offering free Second Opinions on
Application/Data Architecture
modernization (to Businesses),
3. offering for-fee Consulting service
(regardless of how short they are),
4. start offering “matchmaking”
services… to connect Cloud experts
in the Community with Employers.
Fill the Survey to indicate your
needs / interests, and
to win Manning raffle today:
https://forms.gle/97fXbFxxtPzp4jsh8

6. Knowledge Sponsor
(on our path to enlightenment :)
1. Go to www.manning.com
2. Select *any* e-Book, Video course, or liveProject you want!
3. Add it to your shopping cart (no more than 1 item in the cart)
4. Raffle winners will send me the emails (used in Manning portal),
5. So the publisher can move it to your Dashboard – as if purchased.
Fill the survey to win!

7. Upcoming ServerlessToronto.org Meetups
7
1) Azure for Bioinformatics: Data
Lake Architecture for genomic-
scale data analysis – Lynn Langit
2) Smart Cities in Italy put Silicon
Valley to shame with innovative
IoT solutions – Antonio Puliafito
3) Building a Data Cloud to enable
Analytics and AI-Driven
Innovation – Lak Lakshmanan,
Head Data Analytics & AI @ GCP
4) Snowflake talk… and YOUR
“This is my Architecture” style
presentations are welcome!
Please rate us on Meetup &
Tell your peers we’re here to
Help YOU help others

8. 8
Just an example how Joe influenced us

9. 9
Presentation + Demo

10. Running Business Analytics for a
Serverless Insurance Company
@joeemison

11. I Have Made Mistakes: 22 years, 6 startups

12. Organizations Die on Common, Predictable, Unnecessary Hills
Undifferentiated Heavy Lifting Tech Blocks Everything

13. The Best Organizations Focus and Empower Leaders
Focus on the differentiated:
● Faster
● Cheaper
● Better
● Develop Internal Staff
Get out of the way:
● Leaders can execute in parallel
● Everyone is in technology
● No one can hide

14. Examples within Branch: Serverless Architecture

15. Examples within Branch: Software-as-a-Service

16. All about ETLs and Data Warehouses
Talend
Alteryx
y42

17. There’s Another Way: EL … T and Data Lakes

18. Fivetran at Branch

19. BigQuery at Branch

20. Looker at Branch

21. Enabling Every Decision
to be Data-Driven
Automated data integration that adapts to change for reliable data access.

22. Agenda
1. How Analytics Is
Changing
2. The Impact of
Automation
3. What is Fivetran?
4. UI Demo

23. High Rate of Resource Waste on Pipelines

24. The analytics landscape has shifted
● Constraining compute
(On-premises)
● Perpetual licensing
● ETL outside the database
● Separation of storage +
compute (on-premise)
● Subscription licensing
● Complex pipelines required
for large datasets
Single Node Databases Scalable Databases
● Auto scale cloud DBMS
● Usage based licensing
● Separation of storage and
compute allows for agile
data pipelines
Modern Cloud Databases
Pipeline architecture is being built on old assumptions

25. Business
Outcomes
Data-driven decisions at scale
require automation so you can...
Save Resources
Deliver insights more reliably with
less resources
Discover More Insights
Centralize more data to discover
hidden insights to optimize all
areas of your business
Free up Time
Without maintaining data
pipelines, use this time to _____

26. Data Reliability Fully Managed
Centralized Data
Pipeline can restart from a
point of failure, with minimal
costs, so that data integrity is
preserved in case of source
outage
Infrastructure is cloud-hosted
and fully managed to reduce
resource management for
servers and development
Raw source data should be
brought to a centralized
destination and delivered in a
schema that is optimized for
analytic workloads
The pipeline requirements...

27. A Powerful
Core Platform
Automated
Fivetran creates and maintains a perfect replica
of your data, with minimal user intervention
across 150+ connectors
Resilient
The core architecture of Fivetran enables
recovery from any point of failure with no user
intervention required
Cloud Native
Our engineers monitor and update our code as
the sources change

28. ➔ Automatic Data
Updates (DML)
➔ Automatic Schema
Migrations (DDL)
➔ Automated Recovery
from Failure
(Idempotent)
➔ Micro-batched
architecture
➔ Extensible Cloud
Functions
What makes it different?

29. Serious about security
SOC 2 TYPE 2 certified,
GDPR compliant,
HIPAA BAA
Regularly audited
and certified for data
industry best practices.
End-to-end Encryption
Data is encrypted
end-to-end in transit
and at rest using
encrypted user keys.
No Data Retention
Data is deleted after
no more than 24 hours
from our system.

30. Fivetran Managed Workflow
1 2 3 4 5 6
Authenticate into
sources
Fivetran handles
scheduling and
batching queries
and API calls
Source sends
data to Fivetran
in form of JSON
or Queried Data
Automatic
Normalization of
Data
Fivetran creates
the appropriate
schemas and
tables in the
destination
Destination

31. Fivetran General Architecture

32. Automatic
Data Updates
Insert
Update
Delete
Source Destination

33. Automatic
Schema
Drift Handling
Add Column
Remove Column
Change Type
Source Destination
Add Object
Remove Object

34. We continually add new connectors!
Visit our directory page for an up to date list!
Sales Databases
Events
Files Functions
● Microsoft Dynamics 365
● Salesforce
● Shopify
● PrestaShop
● Pipedrive
● Spree Commerce
● OsCommerce
● PrestaShop
● Microsoft Dynamics NAV
● Oracle EBS
● WooCommerce
● Loaded Commerce
● DynamoDB
● MariaDB
● MongoDB
● MySQL
● Oracle
● PostgreSQL
● SQL Server
● Segment
● Snowplow
● Webhooks
● Airtable
● Amazon Cloudfront
● Amazon Kinesis
● Amazon S3
● Azure Blob Storage
● Box
● Browser Upload
● Dropbox
● Email
● FTP
● FTPS
● Google Cloud Storage
● Google Drive
● Google Sheets
● SFTP
● AWS Lambda
● Azure Functions
● Google Cloud Functions
Warehouses
● Azure Data Explorer
● Azure SQL
● BigQuery
● MySQL
● Panoly
● Periscope
● PostgreSQL
● Redshift
● Snowflake
→ fivetran.com/directory
Prebuilt connectors
Support
● Comm100
● Freshdesk
● Front
● Help Scout
● Intercom
● Kustomer
● UserVoice
● Zendesk
● Zendesk Chat
Marketing
● Adobe Analytics
● AdRoll
● Apple Search Ads
● Appsflyer
Finance
● Anaplan
● Braintree
● Coupa
● Lightspeed
● NetSuite SuiteAnalytics
● QuickBooks Online
● Recharge
● Recurly
● SAP ERP
● Square
● Stripe
● Xero
● Zuora
● Microsoft Dynamics Suite
● Sage Intacct
● SAP Concur
Human Resources
● Greenhouse
● Lever
● Workday
Productivity
● Asana
● Mavenlink
● ServiceNow
● Height
● CSV Uploader
● Airtable
● Bing Ads
● Braze
● Campaign Manager
● Criteo
● Facebook
● Google Ads
● Google Analytics
● Google Play
● Google Search Console
● HubSpot
● Iterable
● Itunes Connect
● Klaviyo
● LinkedIn Ads
● MailChimp
● Mandrill
● Marin Software
● Marketo
● Oracle Eloqua
● Outbrain
● Pardot
● Pinterest Ads
● Sailthru
● Salesforce Marketing Cloud
● SendGrid
● Snapchat Ads
● Taboola
● Twitter Ads
● Yahoo Gemini
● YouTube

35. Customers
Investors
Highlights
● 2,500+ customers
● 2.5 Trillion Rows Synced/Month
● 2019 Deloitte Fast 500 Award
Winner
● 2019 Y Combinator Top
Companies List
→ https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf
Top Rated
4.5 Rating
Denver, CO Munich, DE
Oakland, CA Bangalore, IN
Dublin, IR
Sydney, AU

36. Fivetran UI

37. Branch Case Study
(Fivetran, AWS)

38. Join www.ServerlessToronto.org
Home of “Less IT Mess”