1. The document discusses various Google Cloud Platform products and patterns for data pipelines, including virtual machines, storage, data warehousing, streaming analytics, machine learning, internet of things, and bioinformatics. 2. Demos and examples are provided of storage, virtual machines, BigQuery, Cloud Spanner, and machine learning on the Google Cloud Platform. 3. The core Google Cloud Platform products discussed for various data and analytics use cases include Cloud Storage, BigQuery, Cloud Dataflow, Compute Engine, Cloud Pub/Sub, and Bigtable.

1. 1
Google Cloud & Data Pipeline
Patterns
@LynnLangit

2. 2
Google Cloud in Australia
Data center here in 2017

3. 3
GCP and Patterns
Developer-first
• Fast, flexible and cheap
• Virtual Machines / GCE
• Storage / GCS
Servers ➡ Containers ➡ Functions
• Data Warehouse
• Internet of Things (IoT)
• Bioinformatics
1. Modern Cloud by Example 2. GCP Data Pipeline Patterns
**And also, something New…

4. 4Confidential & ProprietaryGoogle Cloud Platform 4
Demo – Storage / GCS

5. 5

6. 6Confidential & ProprietaryGoogle Cloud Platform 6
Demo – Virtual Machines / GCE

7. 7
Virtual Machines /
GCE
• Fast
• Spin up in seconds
• Tools - SSH, gcloud console
• Flexible
• Custom sizing – slider 
• OS variety – Linux or Windows
• Cheap and Simple
• Auto discount for use
• Pre-emptible
Storage / GCS
• Fast
• Very fast within region
• Tools included
• Flexible
• 4 storage options
• Simple to use / understand
• Cheap
• Pricing by type

8. 8

9. 9
Pipeline Architectures

10. 10Google Cloud Platform 10
Data Warehousing

11. 11
Big Data > Data Warehouse
Reference table
Query / Compute
BigQuery
Customer Lists / Reference
Data
Export Ad
Data
Cloud Storage
Id matching
Cloud Dataflow
Marketing List
DoubleClick
Campaign Manager
Google Analytics
Relevant Users
Cloud Storage
Analysts
DataStudio
360
Dashboards

12. 12Confidential & ProprietaryGoogle Cloud Platform 12
Demo – BigQuery

13. 13
Batch
Streaming
Big Data > Log Processing
Log Storage
Cloud Storage
Log Streaming
Cloud Pub/Sub
Log Analytics
BigQuery
Log Processing
Cloud Dataflow

14. 14
Cloud Dataflow /
Apache Beam

15. 15
Big Data > Time Series Analysis
Batch Storage
BigQuery
Storage
Cloud Storage
Time Series Processing
Cloud Dataflow
Analysis
Cloud Datalab
Storage
Cloud
Bigtable*
Processing
Cloud Dataproc
Time Series Files
Cloud Storage
ML
Cloud ML
Streaming
Time Series Streaming
Cloud Pub/Sub
*Note: Use Bigtable with
NoSQL workloads of 1 TB or more

16. 16
Streaming
Big Data > Complex Event Processing
Cloud Apps
Compute Engine
Streamin
g
Batch
Push to Devices
App Engine
Rules Engine
Cloud Dataflow Data Analysis
Cloud Datalab
Mobile Devices
Push Notifications
Report &
Share
Business Analysis
Cloud Apps
Compute
Engine
On-Premises
Databases
On-Premises
Applications
Processed Events
Cloud Bigtable
Events Time Series
Data
Warehouse
BigQuery
Execution Results
Streaming
Cloud Pub/Sub
Transactions
Processing
Cloud Dataflow
Transaction Streams
Messaging
Cloud Pub/Sub
Rules Actions
ETL
Cloud Dataflow
Transform Data
Cloud Data
Cloud Storage
Rules Engine
Cloud Dataproc

17. 1717
Files
• Cloud Storage
Compute
• Big Query
• Cloud Dataflow
Other
• 3rd party ETL
• 3rd party dashboards
Core Products for Data
Warehousing
More on Big Query…
• Interactive or Batch query
• ANSI SQL compliant
• Cost control - Purchase ‘slots’
• NoOps Data Warehouse

18. 18Google Cloud Platform 18
Big Relational

19. 1919
What is Spanner?

20. 20Confidential & ProprietaryGoogle Cloud Platform 20
Demo – Cloud Spanner

21. 21Google Cloud Platform 21
Internet of Things

22. 22
Internet of Things > MQTT
IoT Warehouse
BigQuery
IoT Application
App Engine
Stream Analytics
Cloud Dataflow
IoT Topic
Cloud Pub/Sub
MQTT
Devices
Auto-scaled Broker
Tier
Custom MQTT broker
MQTT Broker
Compute Engine
RabbitMQ
Cloud Load
Balancing

23. 23
Ingest Pipelines
Storage
Analytics
Application &
Presentation
Standard
Devices
HTTPS
Constraine
d
Devices
Non-TCP
e.g. BLE
Gateway
Internet of Things > Sensor stream ingest and
processing
App
Engine
Container
Engine
Cloud
Storage
Cloud
Pub/Sub
Cloud
Dataflow
Monitoring
Logging
Cloud
Dataflow
Cloud
Datastore
Cloud
Bigtable
BigQuer
y
Cloud
Dataproc
Cloud
Datalab
Compute
Engine

24. 24
Retail > Beacons and Targeted Marketing
Events
Cloud Bigtable
Proximity Events
Analytics
BigQuery
Data Warehouse
Messaging
Cloud Pub/Sub
Proximity Streams
Processing
Cloud Dataflow
Stream Processing
Notifications
App Engine
Push to Devices
Mobile-Push
Notifications
Office Business
Systems
Beacons
Proximity
Notifications
Messaging
Cloud Pub/Sub
Queued Notifications

25. 2525
Files & Storage
• Cloud Storage
• Big Table
Compute & Ingest
• Cloud Pub/Sub
• Big Query
• Cloud Dataflow
Core Products for IoT

26. 26Confidential & ProprietaryGoogle Cloud Platform 26
Demo – Machine Learning

27. 27Google Cloud Platform 27
Bioinformatics

28. 28
Patient
Analytics
Life Sciences > Patient Monitoring
Analytics
Process Data
Prediction API
Ingest
Cloud Pub/Sub
Storage
Cloud Bigtable
Alerts
Notifications
Cloud Pub/Sub
Health Care
Professional
Patient Monitors
(pulse, blood
sugar, exercise)

29. 29
Private Datasets Public Datasets
Life Sciences > Variant Analysis
MSSNG Autism
Cloud Storage
Scientist
High
Throughput
Genome
Sequencers
1000 Genomes
Cloud Storage
Patient Data
Cloud Storage
Illumina Platform
Cloud Storage
Ref Genomes
Cloud Storage
TCGA
Cloud Storage
Analytics
Online Analytics
BigQuery
Batch Analytics
Cloud Dataflow
Lab Notebooks
Cloud Datalab
Data Ingest
Genomics
BAM
FAST
Q

30. 30
Ingest
Elastic Cluster
Storage
Analytics
Life Sciences > Genomics, Secondary Analysis
Carrier
Interconnect
High
Throughput
Genome
Sequencer
s
Scientist
Raw Datafiles
Cloud Storage
Processed Data
Cloud Storage
Metadata
Cloud SQL
Lab notebooks
Cloud Datalab
HPC Cluster
Compute
Engine
10 Nodes
Ingest Server
Compute
Engine
Online Analytics
BigQuery
Cloud Load
Balancing
Cloud
Network

31. 3131
• Cloud Storage
• Big Query
• Compute Engine
• Cloud Dataflow
• Public datasets on GCP
Core Products for
Bioinformatics

32. 33
“The Future is Functional”
@LynnLangit