Event data is the largest volume data you'll tackle as a data engineer!
In this free four hour course, I'll go over everything I learned at Meta to tackle large volume event data!
Enjoy! Please repost to spread the knowledge!
youtube.com/watch?v=DQefW9…
Most people focus on optimizing the SELECT, but performance starts at CREATE.
5 simple tips for designing a better database.
1. Normalize Your Data
• First Normal Form (1NF): Each column should contain atomic (indivisible) values, and each column should contain values of a…
We launched a Kaggle competition as a part of the LLM Zoomcamp!
Participate and solve high school mathematical problems with LLMs.
🔸 Learn on our free Zoomcamp
🔸 Apply your knowledge at this competition
🔸 Get extra points for the course
Join now: kaggle.com/competitions/l…
Scenario where you can use Delete and Truncate command:
1. “Cleaning Up Data for Specific Rows”
- Suppose you are managing a customer database and want to remove records of customers who have unsubscribed from your mailing list.
Use the ‘DELETE’ statement to remove specific…
Good SQL brings more Orders.
A common mistake that turns LEFT JOIN into an INNER JOIN.
In a LEFT JOIN, all records from the left table and the matching records from the right table are included.
So far, so good, but there is a catch.
If you add a condition in the WHERE clause…
The first cohort of the LLM Zoomcamp has just started! 🎉
Join Module 1 as we explore RAG and Elastic Search with OpenAI.
Homework: you'll need to calculate the price for your prompts.
Access materials for Module 1 here: github.com/DataTalksClub/…
1/2
If I had to start learning #dataengineering all over again, I’d follow this plan, mostly in order:
- Learn SQL
— Aggregations with GROUP BY
— Joins (INNER, LEFT, FULL OUTER)
— Window functions
— Common table expressions
- Learn about data modeling
— read about data…
Module 1 of LLM Zoomcamp is ready!
In this module, you'll set up a RAG flow for searching in a knowledge base and retrieving important contexts for LLM.
Watch it here: youtube.com/watch?v=Q75JgL…
Code and notes: github.com/DataTalksClub/…
See you on Monday when the course starts!
The best place to learn k8s in Hindi 🤓
• Kubernetes Architecture ✅
• Cluster, Pods, Containers ✅
• Side Cars, initContainers, Kyverno, Trivy ✅
• Deployments ✅
• Services, Live application deployment using Custom Domain ✅
• Cert-Manager, Gateway API, & Namespaces ✅
How does Docker work?
The diagram below shows the architecture of Docker and how it works when we run “docker build”, “docker pull” and “docker run”.
There are 3 components in Docker architecture:
🔹 Docker client
The docker client talks to the Docker daemon.
🔹…
Data engineers often become bored of data engineering!
After a while of SQL + Python + airflow, you start thinking all pipelines are the same and it’s copy and paste work.
Some strategies to help with this:
- become more end-to-end
Maybe that means building a dashboard. Maybe…
Advanced SQL Interviews LOVE to test you on Window Functions.
Here's 4 real SQL interview questions from Uber, Google, Spotify & Wayfair to practice SQL window functions like:
• LEAD()
• LAG()
• RANK()
• DENSE_RANK()
• ROW_NUMBER()
• NTH_VALUE()
🧵👇
Data engineering SQL interviews always have a silly RANK question. Should you use RANK, DENSE RANK, or ROW NUMBER? Here’s a refresher!
For more free data engineering interview, subscribe to my blog: blog.dataengineer.io#dataengineering
A data engineer who is unfamiliar with SQL queries and optimization will have significant difficulties
Since SparkSQL has increased the popularity of SQL, having a solid understanding of querying datasets will be useful to you for a very long time
#Spark#DataEngineering#SQL
Types of projects that I worked as Freelance Data Engineer 👇🏻
This is a common question I get about the type of work you get as a freelance data engineer and it varies a lot
📍Web Scraping:
When I started my journey as a freelancer I didn't get projects related to core Data…
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