Design and Implement Cloud Data Solutions

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Designing an Cloud Data Solution, Storage, Processing, Security and Monitoring of Database

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Description

This course is intended for Cloud data engineers who collaborate with business stakeholders to identify and meet the data requirements to design data solutions that use Cloud data services

Why one should take this course? 

According to the 2019 dice dot com report, there was an 88 percent year over year growth in the job postings for data engineers which was the highest growth rate among all the technological jobs.

According to a recent study by pearsonvue, after taking the certification, 65% of people say they feel more confident in their current job. And 35% of people say that their salary has increased.

Highlights of course

Course is completely up-to-date

Course covers 100% exam syllabus

Course include

8+ hrs of content

2 Question banks (450+ questions for practice)

Quizzes - specially designed to clear concepts of objectives.

Actual Exam Questions

Further study material

PPT and Demo resources

Course includes:

Full lifetime access with all future updates

30-Day Money-Back Guarantee

Certificate of course completion

Intended Audience

Anyone who wants to prepare for DP-201 exam

Anyone who wants to become an Cloud Data Engineer

Cloud Data Engineers

Cloud Data Scientist

Database and BI developers

Database Administrators

Data Analyst or similar profiles

On-Premises Database related profiles who want to learn how to implement these technologies in Cloud.

Anyone who wants to become an Cloud Data Engineer

Prerequisites

Good to clear DP-200 before taking this course

Language

English

Please make sure you are comfortable in English, captions are not good enough to understand the course.

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Recommend an Cloud data storage solution based on requirements

choose the correct data storage solution to meet the technical and business requirements

choose the partition distribution type

Design non-relational cloud data stores

design data distribution and partitions

design for scale (including multi-region, latency, and throughput)

design a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage

select the appropriate Cosmos DB API

design a disaster recovery strategy

design for high availability

Design relational cloud data stores

design data distribution and partitions

design for scale (including latency, and throughput)

design a solution that uses Synapse Analytics

design a disaster recovery strategy

design for high availability

Design batch processing solutions

design batch processing solutions that use Data Factory and Databricks

identify the optimal data ingestion method for a batch processing solution

identify where processing should take place, such as at the source, at the destination, or in transit

Design real-time processing solutions

design for real-time processing by using Stream Analytics and Databricks

design and provision compute resources

Design security for source data access

plan for secure endpoints (private/public)

choose the appropriate authentication mechanism, such as access keys, shared access signatures (SAS), and Active Directory

Design security for data policies and standards

design data encryption for data at rest and in transit

design for data auditing and data masking

design for data privacy and data classification

design a data retention policy

plan an archiving strategy

plan to purge data based on business requirements

Some students Feedback

One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary

Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain

I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis

Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna

Who this course is for:

• Anyone who wants to become Cloud Data Engineer
• Database Developer
• Database Administrators (DBA)
• Business Intelligence (BI) Developers
• Data Engineers
• Data Scientist
• Data Analyst or similar profiles
• Other on-premises Database related profiles who want to learn how to implement these technologies in Cloud Cloud.

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