2- مقدمة الى هندسة البيانات ونظام ادارة البيانات

Introduction to data engineering

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1-What is Athar educational academy How to get the most out of the camp

10:27

2-Introduction to data engineering and data management system

20:27

3-introduction to data engineering and Data Management System 2

07:36

4-Data Structures and how the data age looked like

18:18

5-Data Structures and how the data age looked like 2

15:45

6-Data Structures and how the data age looked like 3

15:11

Python

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شرح المنصة

03:36

7-introduction to Python

07:39

8-working environment in Python Colab

12 - exercises on the basics of Python

02:56

Exercises on the basics of Python

13-iteration loops and conditions in Python

28:31

14- هياكل البيانات List Tuple Set Dict

30:27

15. first draft Data Structures and replication loops

13:51

تطبيق عملي على هياكل البيانات.

Practical application to OOP and functions

18- التعامل مع الملفات ومقدمة الى Pandas

29:35

18- كيف تعالج البيانات النصية في بايثون باستخدام UTF-8

14:16

التعامل مع الملفات تطبيق عملي

19- Web Scraping:باستخدام Requests وBeautifulSoup

36:52

20- معالجة الملفات + معالجة الملفات من خلال Pandas

47:36

21- مشروع 3 Scrape Web Covid

24:49

22- Web Scraping:باستخدام Selenium

29:03

23- مشروع 5 اتمتة العمليات من خلال Selenium

14:26

24- تنظيم الكود واهم النصائح ومشروع عملي على تنظيم الكود

20:11

25- مشروع 6 سحب البيانات من موقع أمازون Selenium

26- 4 مشروع : Scrape Mobile APP

Databases and linking with Python

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27- التعامل مع SQL Relational Databases and Tables

36:23

28- Intermediate SQL

30:35

29-linking databases with Python

30- مشروع 7 SQL Analytics Project (E-commerce) with Python and Power BI

NoSQL مع MongoDB وRedis

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31- مقدمة Introducing NoSQL

36:23

32- MongoDB – An Open-Source NoSQL Database 1

18:16

33- MongoDB – An Open-Source NoSQL Database 2

23:44

34- Redis 1

35- Redis 2

36- مشروع 8 MongoDB Analytics Store

37- مشروع 9 Redis Analytics Store

Microsoft Fabric وLakehouse و Spark

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38-how to create an account in the Microsoft Microsoft factory platform

07:59

39- Fabric Components (Workspaces/OneLake/Capacities)

09:46

40- Lakehouse Basics (Files vs Tables)

13:54

41- Lakehouse تطبيق عملي

26:25

42- تطبيق عملي Create a Microsoft Spark

25:28

43- Spark in Fabric Notebooks (DataFrames + Spark SQL)

26:17

44- Spark SQL with Microsoft fabric

25:10

45- مشروع 10 Fabric Lakehouse Setup (Bronze)

51:50

46- مشروع 11 Fabric Medallion Pipeline (Silver/Gold)

29:57

47- مشروع 12 تحليل البيانات بتعامل مع Spark SQL

21:49

التنسيق في Fabric: Pipelines وDataflows Gen2 & Airflow

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52- ETL and ELT Processes الفرق واهم الادوات Airflow

34:10

59- Warehouse vs Lakehouse + Direct Lake + Semantic Models

22:33

60- تطبيق عملي Load Data Using T-SQL

25:39

61- تطبيق Query + Monitor Data Warehouse

15:55

Data warehouse أهم المصطلحات و Snowflake

35:26

62- تطبيق عملي Secure Data in Warehouse + Secure Data Access

27:31

Temporal intelligence in Fabric (RTI) & Kafka

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67- Real-Time Intelligence Overview

29:23

68- Eventstream Ingestion + Filtering

11:37

69- Eventhouse Concepts + KQL Basics

10:07

71- Activator (Alerts/Actions)

07:57

70- Real-Time Dashboards

22:39

Fabric Data Warehouse + Security + Monitoring + CI/CD

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63- تطبيق عملي Monitor Fabric Activity (Monitoring Hub)

11:25

64- تطبيق عملي Deployment Pipelines (CI/CD)

12:06

65- Semantic Models (Design + Security)

16:14

66- مراجعة SQl

07:22

68-fact table + dimension table

14:49

67- استكشاف OneLake

11:46

مشروع 12 Fraud Detection 1

01:54:42

مشروع 12 Fraud Detection 2

01:45:06

مشروع 12 Fraud Detection 3

01:39:46

مشروع 13 Flight tracking ETL

02:26:29

مشروع 14 Job Market ELT

02:11:52

مشروع 15 E commerce project ELT

01:24:59

تلخيص للمشاريع

05:57

Exam preparation from Microsoft DP-700 + vocational training and labor market qualification

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76 - the strategy of success in the test from the first attempt + the Bank of questions for success in the test

17:44

77 - biography and ATS system

10:53

78- LinkedIn

10:01

79 - strategy for success in the job interview

12:02

Certificates in the camp

الذكاء الاصطناعي من خلال منصة Fabric اختياري

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جزء اضافي اختياري Docker + GitHub + Hadoop

0/5

Docker Basics + Docker Compose (Capstone Repo Setup)

GitHub + README

Practical Docker application

Linux is an optional extra part

0/6

Basics of creating a Linux operating system

Directory Management + File Management

Shell Scripting +Bash Shell

Cron + Scheduling jobs

Practical application Scripting

A practical application for Scheduling jobs

Professional camp in data engineering(an internship opportunity at IBM and qualification for a professional certificate from Microsoft)

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2-Introduction to data engineering and data management system

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