https://github.com/archie-cm/data-engineer-track-datacamp

In this track, you’ll discover how to build an effective data architecture, streamline data processing, and maintain large-scale data systems.
https://github.com/archie-cm/data-engineer-track-datacamp

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In this track, you’ll discover how to build an effective data architecture, streamline data processing, and maintain large-scale data systems.

• Host: GitHub
• URL: https://github.com/archie-cm/data-engineer-track-datacamp
• Owner: archie-cm
• Created: 2022-11-15T01:24:49.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-11-22T01:59:40.000Z (about 2 years ago)
• Last Synced: 2023-04-07T08:56:16.089Z (almost 2 years ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 19.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# data-engineer-track-datacamp



 

 
Data Engineer with Python Track Datacamp

 


  IBM Professional Certificate

  


  Explore the repository»

  


  


 


## **Program Details**

In this track, you’ll discover how to build an **effective data architecture, streamline data processing, and maintain large-scale data systems**. In addition to working with Python, you’ll also grow your language skills as you work with **Shell, SQL, and Scala, to create data engineering pipelines, automate common file system tasks, and build a high-performance database**.

Through hands-on exercises, you’ll add cloud and big data tools such as **AWS Boto, PySpark, Spark SQL, and MongoDB**, to your data engineering toolkit to help you create and query databases, wrangle data, and configure schedules to run your pipelines. By the end of this track, you’ll have mastered the critical database, scripting, and process skills you need to progress your career.

## **Structure**

There are 13 Courses in this Professional Certificate

| Sr. No | Course                                                               |Status|

|:------:|----------------------------------------------------------------------------|:--:|

| 01.     | [Introduction to Data Engineering](./Introduction%20to%20Data%20Engineering)|✅|

| 02.     | [Python for Data Science, AI & Development]|✅| 

| 03.     | [Python Project for Data Engineering]|✅|

| 04.     | [Introduction to Relational Databases (RDBMS)]|⏳|

| 05.     | [Databases and SQL for Data Science with Python]|⏳| 

| 06.     | [Hands-on Introduction to Linux Commands and Shell Scripting]|⏳|

| 07.     | [Relational Database Administration (DBA)]|⏳|

| 08.     | [ETL and Data Pipelines with Shell, Airflow and Kafka]|⏳|

| 09.     | [Getting Started with Data Warehousing and BI Analytics]|⏳|

| 10.     | [Introduction to NoSQL Databases]|⏳|

| 11.     | [Introduction to Big Data with Spark and Hadoop]|⏳|

| 12.     | [Data Engineering and Machine Learning using Spark]|⏳|

| 13.     | [Data Engineering Capstone Project]|⏳|

## **Contact**

Archie Citra Muhammad - [email protected]

Linkedin: [https://www.linkedin.com/in/archie-citra-muhammad-99a68165/](https://www.linkedin.com/in/archie-citra-muhammad-99a68165/)