Intro to Google Cloud Platform Data Engineering.

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Joseph Holbrook, Chief Learning Officer (CLO)

This course teaches participants the following skills: Design and build data processing systems on Google Cloud Platform Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow Derive business insights from extremely large datasets using Google BigQuery Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML Leverage unstructured data using Spark and ML APIs on Cloud Dataproc Enable instant insights from streaming data

Technology

Google Cloud Platform
Data Engineer
Module 2
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Module 2
Google Cloud Platform
Overview
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Module Overview
Google Cloud Platform Overview
Demo
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WHY GCP
Solid Infrastructure
Top Tier Data Analytics
Serverless leadership
Customer favoring pricing
Innovative
Security Scale

WHY GCP
Google Cloud Platform enables developers
to build, test and deploy applications on
Google’s highly-scalable, secure, and
reliable infrastructure.
Choose from computing, storage, big
data/machine learning, and application
services for your web, mobile, analytics, and
backend solutions.

WHY GCP
For more information on Google’s Edge Network, see:
https://peering.google.com/#/.

WHY GCP
Sub Hour Billing
Sustained Used Discounts
Automatically reward users who run virtual machines for
over 25% of any calendar month
Compute Engine Custom machines types
Pay only for the resources you need for your application

WHY GCP
Google provides interoperability at multiple layers of the
stack.
Kubernetes and Google Container Engine give customers
the ability to mix and match microservices running across
different clouds, and our IT operations tools let customers
manage workloads across multiple cloud providers.
Using Open API’s, so that our services are compatible with
open source products.

WHY GCP
Your choice managed or
unmanaged services.
Flexibility
Cost effective
High performance

GCP has gained over 15%
market share in 2016.

Google Cloud Platform https://cloud.google.com/
Console
https://console.cloud.google.com/
Documentation https://cloud.google.com/docs/
Pricing
https://cloud.google.com/pricing/
Free Tier https://cloud.google.com/free/
Resources
Copyright © www.ine.com

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Intro to Google Cloud Platform Data Engineering.

4. WHY GCP Solid Infrastructure Top Tier Data Analytics Serverless leadership Customer favoring pricing Innovative Security Scale

5. WHY GCP

6. WHY GCP Google Cloud Platform enables developers to build, test and deploy applications on Google’s highly-scalable, secure, and reliable infrastructure. Choose from computing, storage, big data/machine learning, and application services for your web, mobile, analytics, and backend solutions.

7. WHY GCP

8. WHY GCP For more information on Google’s Edge Network, see: https://peering.google.com/#/.

9. WHY GCP

10. WHY GCP Sub Hour Billing Sustained Used Discounts Automatically reward users who run virtual machines for over 25% of any calendar month Compute Engine Custom machines types Pay only for the resources you need for your application

11. WHY GCP Google provides interoperability at multiple layers of the stack. Kubernetes and Google Container Engine give customers the ability to mix and match microservices running across different clouds, and our IT operations tools let customers manage workloads across multiple cloud providers. Using Open API’s, so that our services are compatible with open source products.

12. WHY GCP Your choice managed or unmanaged services. Flexibility Cost effective High performance

13. WHY GCP

14. Console

15. GCP has gained over 15% market share in 2016.

16. Google Cloud Platform https://cloud.google.com/ Console https://console.cloud.google.com/ Documentation https://cloud.google.com/docs/ Pricing https://cloud.google.com/pricing/ Free Tier https://cloud.google.com/free/ Resources Copyright © www.ine.com

Intro to Google Cloud Platform Data Engineering.

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