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Common File Types in Data Projects | Module 1 | Surfalytics
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In this video I cover common file types in data projects.
These things get a jumpstart on ones career by understanding these common file formats! I'm breaking down the essentials: from CSV and TXT to structured data, these file types are the building blocks of your data projects. Knowing how to work with them is just as important as your analysis or engineer tools--it's a must-have skill on your data career roadmap 💪
What you'll learn:
CSV: The workhorse for simple data
JSON: Handling more complex, nested data structures
Parquet: Why it's a superstar for big data
Tips: When to choose one format over the other
Don't let file formats be intimidating! Master them early, and you'll be analyzing and handling data like a pro in no time! 📊
Timecode:
00:00 - Introduction
01:47 - Surfalytics intro
02:05 - Start. Markdown files.
04:16 - CSV, TSV, and TXT files.
05:18 - Semi-structured files. JSON and XML.
07:01 - Analytical Structured Files. PARQUET, AVRO, ORC
08:06 - Difference between formats
10:00 - Log files
12:23 - Configuration files
14:34 - Python correlated files
16:50 - .pre-commit and Docker files (link to a video)
18:05 - Make files and language related files
21:00 - AWS code whisper for CLI
=================
What is Surfalytics?
Inspired by West Coast surfing spots 🏖️ and Pacific Ocean vibes 🌊. Created to help you start a new career in the data analytics space, and develop data engineering and analytics skills through coaching. It will teach you not just dry skills, but will keep your focus on delivering significant value to businesses in the analytics realm as well as help to get fair compensation 💰 for the work you’re passionate about ❤️🔥.
The goal of Surfalytics is to assist you in achieving one of the following: 🏄♂️ Land your first job in the data industry with literally zero experience. I have accomplished this many times across the globe. 🏄 Advance from a middle-level role to a senior position (as an Analyst or Engineer). 🏄♀️ Transition from a non-technical Analyst role to a technical Engineer role. Moreover, we will focus on creating a highly competitive CV and securing top job offers.
We will not consider any lowball offers, focusing only on top-tier companies and well-paid opportunities. Finally, Surfalytics is a results-driven community with a very narrow focus, resulting in a high return on investment (ROI).
Here, ‘investment’ does not mean money but your time. I am literally fighting for your attention to encourage you to study and work hard, instead of watching Netflix or playing video games.
Want to be part of our growing community?
#surfalytics #dmitryanoshin #datacommunity #freecourses #dataskills #datacareer #datajobs #dataanalyticscourse #dataengineeringcourse #dataexperts #dataprofession #careerintech #dataanalyst #files #yaml #docker #roadmap
These things get a jumpstart on ones career by understanding these common file formats! I'm breaking down the essentials: from CSV and TXT to structured data, these file types are the building blocks of your data projects. Knowing how to work with them is just as important as your analysis or engineer tools--it's a must-have skill on your data career roadmap 💪
What you'll learn:
CSV: The workhorse for simple data
JSON: Handling more complex, nested data structures
Parquet: Why it's a superstar for big data
Tips: When to choose one format over the other
Don't let file formats be intimidating! Master them early, and you'll be analyzing and handling data like a pro in no time! 📊
Timecode:
00:00 - Introduction
01:47 - Surfalytics intro
02:05 - Start. Markdown files.
04:16 - CSV, TSV, and TXT files.
05:18 - Semi-structured files. JSON and XML.
07:01 - Analytical Structured Files. PARQUET, AVRO, ORC
08:06 - Difference between formats
10:00 - Log files
12:23 - Configuration files
14:34 - Python correlated files
16:50 - .pre-commit and Docker files (link to a video)
18:05 - Make files and language related files
21:00 - AWS code whisper for CLI
=================
What is Surfalytics?
Inspired by West Coast surfing spots 🏖️ and Pacific Ocean vibes 🌊. Created to help you start a new career in the data analytics space, and develop data engineering and analytics skills through coaching. It will teach you not just dry skills, but will keep your focus on delivering significant value to businesses in the analytics realm as well as help to get fair compensation 💰 for the work you’re passionate about ❤️🔥.
The goal of Surfalytics is to assist you in achieving one of the following: 🏄♂️ Land your first job in the data industry with literally zero experience. I have accomplished this many times across the globe. 🏄 Advance from a middle-level role to a senior position (as an Analyst or Engineer). 🏄♀️ Transition from a non-technical Analyst role to a technical Engineer role. Moreover, we will focus on creating a highly competitive CV and securing top job offers.
We will not consider any lowball offers, focusing only on top-tier companies and well-paid opportunities. Finally, Surfalytics is a results-driven community with a very narrow focus, resulting in a high return on investment (ROI).
Here, ‘investment’ does not mean money but your time. I am literally fighting for your attention to encourage you to study and work hard, instead of watching Netflix or playing video games.
Want to be part of our growing community?
#surfalytics #dmitryanoshin #datacommunity #freecourses #dataskills #datacareer #datajobs #dataanalyticscourse #dataengineeringcourse #dataexperts #dataprofession #careerintech #dataanalyst #files #yaml #docker #roadmap
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