Architecture considerations For Data Engineering

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Last Curated On:Sunday, 28 March 2021
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Course overview

DP201-Module 01 - Architecture considerations
Lesson 01 – Describe the core principles for creating architectures
Lesson 02 – Design with Security in mind
Lesson 03 – Consider performance and scalability
Lesson 04 – Design for availability and recoverability
Lesson 05 – Design for efficiency and operations

Sessions in this learning path

Infact There are 22 courses in this series.This is the course number 14 in the series.Please navigate to the series dashboard to know more about the speakers and register to the upcoming as well as past events in the series.

Meet the speaker

Best job ready short courses by Preyash Vrat on Architecture considerations For Data Engineering at #multicloud4u #5thir

Preyash Vrat, MCT

Preaysh Is a ☁ Cloud Solutions Architect with a hands-on experience in  Azure, AWS, Bluemix having 16K Followers on Linkedin and works At a multinational.

Awards and Certificates:-

Refer his profile here:-

https://www.linkedin.com/in/preyash-vrat-mct%E2%98%81-cloud-solutions-architect-azure-aws-bluemix-b1328323/

More About Preaysh

Preyash has extensive experience in the following:-

1. Building Cloud Solution For Azure and Multicloud

2. Cloud Migration on Azure and Multicloud

3. Data Modernization with Data Lake, Delta Lake, Big data Tech and Streaming solutions not forgetting the principal in existence with a data warehouse.

4. Data Engineering on Cloud

5. Data Operations using Data Bricks and Data Factory

6. Data Streaming

7. ETL and Extensive Analytics tool Including Synapse

8. Utilizing data with Power BI and API'S

Profile details

Job:

Azure Solution and Data Architect,Cloud Community Leader

Company And Industry:

Top Multinational"

Experience:

Microsoft Certified Trainer

E-mail:

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Meet Preyash

Events:

14

Like:

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