Languages used by data engineers:
๐SQL
๐Python
๐Scala
๐Pyspark
๐Spark SQL
๐SQL
๐Python
๐Scala
๐Pyspark
๐Spark SQL
Here are some incredible platforms where you can download datasets for your project:
Our World in Data https://ourworldindata.org/
World Health Organization (https://www.who.int/data/gho
Statcounter (https://gs.statcounter.com/
Food and Agriculture Organization of the UN (FAO) (https://www.fao.org/home/en
World Bank (https://data.worldbank.org/)
Our World in Data https://ourworldindata.org/
World Health Organization (https://www.who.int/data/gho
Statcounter (https://gs.statcounter.com/
Food and Agriculture Organization of the UN (FAO) (https://www.fao.org/home/en
World Bank (https://data.worldbank.org/)
๐๐ฒ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฟ๐ฒ๐ฎ๐บ ๐๐ผ๐ฏ ๐๐ป ๐๐บ๐ฎ๐๐ผ๐ป, ๐๐ผ๐ผ๐ด๐น๐ฒ, ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐, ๐ก๐ฉ๐๐๐๐, ๐ฎ๐ป๐ฑ ๐ ๐ฒ๐๐ฎ (๐๐ฎ๐ฐ๐ฒ๐ฏ๐ผ๐ผ๐ธ) ๐๐ถ๐๐ต ๐๐ต๐ฒ๐๐ฒ ๐ฐ๐ผ๐บ๐ฝ๐ฟ๐ฒ๐ต๐ฒ๐ป๐๐ถ๐๐ฒ ๐ฟ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐๐
1๏ธโฃ Amazon Interviewing Guide
2๏ธโฃ Google Interview Tips
3๏ธโฃ Microsoft Hiring Tips
4๏ธโฃ NVIDIA Hiring Process
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1๏ธโฃ Amazon Interviewing Guide
2๏ธโฃ Google Interview Tips
3๏ธโฃ Microsoft Hiring Tips
4๏ธโฃ NVIDIA Hiring Process
5๏ธโฃ Meta Onsite SWE Prep Guide
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๐๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ ๐
1) Generative AI
2) Big data artificial intelligence
3 ) Microsoft Al for beginners
4) Prompt Engineering for Chat GPT
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1) Generative AI
2) Big data artificial intelligence
3 ) Microsoft Al for beginners
4) Prompt Engineering for Chat GPT
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Enroll For FREE & Get Certified๐
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Struggling with Machine Learning algorithms? ๐ค
Then you better stay with me! ๐ค
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! ๐๐ป
1๏ธโฃ ๐๐ข๐๐๐ฆ๐ง๐๐ ๐ฅ๐๐๐ฅ๐๐ฆ๐ฆ๐๐ข๐ก
It is a binary classification model used to classify our input data into two main categories.
It can be extended to multiple classifications... but today we'll focus on a binary one.
Also known as Simple Logistic Regression.
2๏ธโฃ ๐๐ข๐ช ๐ง๐ข ๐๐ข๐ ๐ฃ๐จ๐ง๐ ๐๐ง?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.
It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.
3๏ธโฃ ๐๐ข๐ช ๐ง๐ข ๐๐๐๐๐ก๐ ๐ง๐๐ ๐๐๐ฆ๐ง ๐๐๐ง?
For every parametric ML algorithm, we need a LOSS FUNCTION.
It is our map to find our optimal solution or global minimum.
(hoping there is one! ๐)
โ ๐๐ข๐ก๐จ๐ฆ - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.
Then you better stay with me! ๐ค
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! ๐๐ป
1๏ธโฃ ๐๐ข๐๐๐ฆ๐ง๐๐ ๐ฅ๐๐๐ฅ๐๐ฆ๐ฆ๐๐ข๐ก
It is a binary classification model used to classify our input data into two main categories.
It can be extended to multiple classifications... but today we'll focus on a binary one.
Also known as Simple Logistic Regression.
2๏ธโฃ ๐๐ข๐ช ๐ง๐ข ๐๐ข๐ ๐ฃ๐จ๐ง๐ ๐๐ง?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.
It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.
3๏ธโฃ ๐๐ข๐ช ๐ง๐ข ๐๐๐๐๐ก๐ ๐ง๐๐ ๐๐๐ฆ๐ง ๐๐๐ง?
For every parametric ML algorithm, we need a LOSS FUNCTION.
It is our map to find our optimal solution or global minimum.
(hoping there is one! ๐)
โ ๐๐ข๐ก๐จ๐ฆ - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.
๐3โค1
Understand the power of Data Lakehouse Architecture for ๐๐ฅ๐๐ here...
๐จ๐ข๐น๐ฑ ๐๐ฎ๐
โข Complicated ETL processes for data integration.
โข Silos of data storage, separating structured and unstructured data.
โข High data storage and management costs in traditional warehouses.
โข Limited scalability and delayed access to real-time insights.
โ ๐ก๐ฒ๐ ๐ช๐ฎ๐
โข Streamlined data ingestion and processing with integrated SQL capabilities.
โข Unified storage layer accommodating both structured and unstructured data.
โข Cost-effective storage by combining benefits of data lakes and warehouses.
โข Real-time analytics and high-performance queries with SQL integration.
The shift?
Unified Analytics and Real-Time Insights > Siloed and Delayed Data Processing
Leveraging SQL to manage data in a data lakehouse architecture transforms how businesses handle data.
Data Engineering Interview Preparation Resources: https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C
All the best ๐๐
๐จ๐ข๐น๐ฑ ๐๐ฎ๐
โข Complicated ETL processes for data integration.
โข Silos of data storage, separating structured and unstructured data.
โข High data storage and management costs in traditional warehouses.
โข Limited scalability and delayed access to real-time insights.
โ ๐ก๐ฒ๐ ๐ช๐ฎ๐
โข Streamlined data ingestion and processing with integrated SQL capabilities.
โข Unified storage layer accommodating both structured and unstructured data.
โข Cost-effective storage by combining benefits of data lakes and warehouses.
โข Real-time analytics and high-performance queries with SQL integration.
The shift?
Unified Analytics and Real-Time Insights > Siloed and Delayed Data Processing
Leveraging SQL to manage data in a data lakehouse architecture transforms how businesses handle data.
Data Engineering Interview Preparation Resources: https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C
All the best ๐๐
๐1
๐ง๐ผ๐ฝ ๐๐ฟ๐ฒ๐ฒ ๐ฃ๐๐๐ต๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ฒ๐ด๐ถ๐ป๐ป๐ฒ๐ฟ๐๐
Python is one of the most versatile and in-demand programming languages today.
Whether youโre a beginner or looking to refresh your coding skills, these beginner-friendly courses will guide you step by step.
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All The Best ๐
Python is one of the most versatile and in-demand programming languages today.
Whether youโre a beginner or looking to refresh your coding skills, these beginner-friendly courses will guide you step by step.
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๐ฆ๐ค๐ ๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐
Best Free SQL Courses to Get Started
1) Introduction to Databases and SQL
2) Advanced Database and SQL
3) Learn SQL
4) SQL Tutorial
๐๐ข๐ง๐ค ๐:-
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Enroll For FREE & Get Certified ๐
Best Free SQL Courses to Get Started
1) Introduction to Databases and SQL
2) Advanced Database and SQL
3) Learn SQL
4) SQL Tutorial
๐๐ข๐ง๐ค ๐:-
https://pdlink.in/3EyjUPt
Enroll For FREE & Get Certified ๐
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Here's what the average data engineering interview looks like:
- 1 hour algorithms in Python
Here you will be asked irrelevant questions about dynamic programming, linked lists, and inverting trees
- 1 hour SQL
Here you will be asked niche questions about recursive CTEs that you've used once in your ten year career
- 1 hour data architecture
Here you will be asked about CAP theorem, lambda vs kappa, and a bunch of other things that ChatGPT probably could answer in a heartbeat
- 1 hour behavioral
Here you will be asked about how to play nicely with your coworkers. This is the most relevant interview in my opinion
- 1 hour project deep dive
Here you will be asked to make up a story about something you did or did not do in the past that was a technical marvel
- 4 hour take home assignment
Here you will be asked to build their entire data engineering stack from scratch over a weekend because why hire data engineers when you can submit them to tests?
Data Engineering Interview Preparation Resources: https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C
All the best ๐๐
- 1 hour algorithms in Python
Here you will be asked irrelevant questions about dynamic programming, linked lists, and inverting trees
- 1 hour SQL
Here you will be asked niche questions about recursive CTEs that you've used once in your ten year career
- 1 hour data architecture
Here you will be asked about CAP theorem, lambda vs kappa, and a bunch of other things that ChatGPT probably could answer in a heartbeat
- 1 hour behavioral
Here you will be asked about how to play nicely with your coworkers. This is the most relevant interview in my opinion
- 1 hour project deep dive
Here you will be asked to make up a story about something you did or did not do in the past that was a technical marvel
- 4 hour take home assignment
Here you will be asked to build their entire data engineering stack from scratch over a weekend because why hire data engineers when you can submit them to tests?
Data Engineering Interview Preparation Resources: https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C
All the best ๐๐
โค1