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Nitesh
- Rate RM33
- Response 1h
RM33/h
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- Computer programming
- Programming languages
Prudent Azure Data Engineer, teaching --> Automation | REST API | Data ingestion | Docker | Data Ingestion | Python | Azure --> DataBricks |Blob Storage | Key Vault | Data Lake | SQL Server
- Computer programming
- Programming languages
Lesson location
About Nitesh
Prudent Azure Data Engineer having 7+ years of experience in developing, maintaining and automating Data Engineering solutions using Microsoft Azure cloud technologies and, using languages like Python, C#, etc, while normalizing different forms of data to standard SQL tables. Created Power BI reports for data analysis and, monitoring our scripts deployed in Azure Containers via Docker. Also, created a centralized data-center (Data-lake) for big organizations. I want to teach students because its my passion, in my current organization too I love to conduct sessions on different technologies. Also, the interaction with different people always help me learn new things. Teaching is always a two way process!
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About the lesson
- Primary
- Secondary
- SPM
- +13
levels :
Primary
Secondary
SPM
Form 6
STPM
Adult education
Bachelor
Masters
Diploma
Doctorate
Other
Beginner
Intermediate
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Professional
Kids
- English
All languages in which the lesson is available :
English
In this class you can expect following:
1. Azure DataBricks.
2. Use of Azure Key Vault.
3. Azure Blob storage.
4. Azure SQL servers.
5. Azur Data-lake.
6. Python scripts to read & write data in Azure Blob Storage.
7. Python scripts to read & write data in Azure SQL Server.
8. Python scripts to read secrets from Azure Key Vault.
9. Implement SQL Transactions using Python scripts.
10. Python scripts for handling REST API.
11. JSON flattener.
12. Data manipulation using DataFrames.
13. Docker run time environment to allow your code to be machine friendly/ independent.
14. Automate Data ingestion scripts using CRON.
15. Running SQL commands in Python.
16. Integrating data of different applications using REST APIs.
17. Creating our own SQL based data-lake.
18. Configuration File creation.
19. Data visualization using Power BI.
20. Data Comparison methodologies.
21. Portainer for keeping your configuration files secured.
22. Python Scripts for Data Normalization & Standardization.
23. Converting JSON/ XML/ CSV/ Excel or any other data type data to standard SQL tables.
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
1
Nitesh is one of the best teachers I have come across in my life. He taught me Azure data engineering tech stack and helped me in clearing Microsoft Azure Data Engineering Associate certification. The way he explains concepts in conjunction with their practical aspects is just too engaging and enriching. I enjoyed each and every part of the course and can now solve most of the use-cases independently, all because of Nitesh's guidance.
I will also be taking data science classes from him very soon. Highly recommended tutor!View more recommendations
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Rates
Rate
- RM33
Pack rates
- 5h: RM165
- 10h: RM330
online
- RM33/h
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