Advertising on the Telegram channel «Programming, data science, machine learning»

🎯 Master Big Data & Data Engineering — Ultimate Free Resource Pack 🚀 --- 🔹 🔥 Pro Tips for Aspiring Data Engineers 1. Learn SQL deeply – it's still the foundation of everything 2. Understand data formats: JSON, Parquet, Avro, ORC 3. Master Apache Spark — it's everywhere 4. Learn to use Airflow for orchestrating workflows 5. Practice writing ETL pipelines — build your own mini data warehouse 6. Get comfortable with cloud platforms (start with AWS/GCP free tiers) 7. Version-control your work using Git + DVC for data versioning 8. Learn Docker & Kubernetes basics — modern data infra depends on it 9. Explore real-time processing: Kafka, Flink, and Spark Streaming 10. Follow best practices for data modeling — star/snowflake schemas, SCDs, etc --- 🎓 Top Free Online Courses *(No login required or audit available)* 1. 📘 Big Data Specialization – Coursera 🕒 6 courses | 80+ hours 👨‍🏫 UC San Diego Professors 💡 Hadoop, Spark, Hive, NoSQL, real-world projects *(audit for free)* 2. 📊 Learn to Code for Data Analysis – OpenLearn (The Open University) 🕒 8 weeks 💡 Beginner-friendly programming and data analysis 📜 Certificate of participation (free) 3. 🧰 Data Engineering Zoomcamp – DataTalks.Club 🕒 10+ weeks 🎥 Full video lectures + GitHub labs 💡 Docker, Terraform, GCP, Airflow, Kafka, Spark, DBT 4. 🌀 Hadoop Tutorial for Beginners – Simplilearn (YouTube) 🕒 2.5 hours 👨‍🏫 Industry trainer 💡 Intro to HDFS, MapReduce, and the Hadoop ecosystem 5. 🚀 Google Cloud Data Engineering Quest – Cloud Skills Boost 🕒 ~40 hours 💡 Hands-on with BigQuery, Dataflow, Pub/Sub 🎯 Free credits available for real GCP practice --- 📚 Bonus: Free Book 📘 The Data Engineering Cookbook – Andreas Kretz 💡 Open-source guide by a leading Data Engineering YouTuber

I just got married guys! 😍 This is me and my wife at sunset on our wedding day. After conference in Spain i come back home and had most amazing wedding 💫 Thanks everyone for your patience. I will start posting regularly soon.

Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!

Sorry for not posting for a long time. I am getting ready for my wedding which will happen in 10 days!🤵👰 Also I will be attending Data Science/AI conference in Malaga (Spain) this week: https://jonthebeach.com/ If you are going to be there please come to say hello 😊

How discord stores trillions of messages 🧠 An interesting video about one of the biggest challenges in tech world. This video breaks it down - from the databases they use, to the smart engineering choices that keep everything running smoothly at scale. No fluff, just a super interesting look at how one of the biggest chat platforms actually works behind the scenes. Duration ⏰: 1 hour 8 minutes If you're into system design, scalability, or backend engineering, this one’s a must-watch. Link

🌸🐣 Happy Easter from the World of Code & Data! 🐰💻 May your day be filled with joy, colorful moments, and beautifully structured queries. Wishing you and your loved ones a warm, happy, and meaningful Easter! Your @bigdataspecialist

🚨 Google just dropped a 68-page whitepaper on Prompt Engineering — perfect for API users! It’s packed with advanced tips, techniques, and real examples. Super useful if you're working with LLM APIs or building AI apps! PDF below 👇

SQL/MySQL learning series: Day 4️⃣

Sorry guys I was on a trip for previous few days so there was no new courses during previous week but now its time for: 💥 Day 4 of our SQL series 💥 📘 Lesson 4: Setting Up SQL – Install MySQL/PostgreSQL & Set Up Workbench or DBeaver Before writing your first SQL query, you need a database to work with — and a nice interface to explore it. Here’s a simple guide to setting up your environment: ————————————————— 🔹 Step 1: Choose your database system The most popular free options are: • MySQL – Beginner-friendly and widely used in web development. • PostgreSQL – Open-source, powerful, and great for more complex work. > If you're just starting out: go with MySQL. > If you're curious about more advanced features: try PostgreSQL. ————————————————— 🔹 Step 2: Install the database ✅ For MySQL: • Download: [https://dev.mysql.com/downloads/](https://dev.mysql.com/downloads/) • Install using the MySQL Installer. • Set a root password (don’t forget it!). ✅ For PostgreSQL: • Download: [https://www.postgresql.org/download/](https://www.postgresql.org/download/) • Use the installer for your OS. • Set a password for the "postgres" user during install. ————————————————— 🔹 Step 3: Install a database interface (GUI) Instead of using a terminal, you can write queries in a clean, visual tool: • MySQL Workbench (for MySQL only) →https://www.mysql.com/products/workbench/ • DBeaver (works with MySQL, PostgreSQL & many others) → https://dbeaver.io/ Both are 100% free. ————————————————— 🔹 Step 4: Connect the GUI to your database In the app you installed: • Click New Connection • Choose MySQL or PostgreSQL • Host: localhost • Port: 3306 (MySQL) or 5432 (PostgreSQL) • Username: root (MySQL) or postgres (PostgreSQL) • Password: the one you just created Test the connection – if it says "Success", you’re ready! ✅ ————————————————— 💡 No install? Try online playgrounds If you want to play with SQL right now without setting up anything: • db-fiddle • sqlime ————————————————— Once you’re all set up, let’s move on to writing your first queries!

Here are some additional info about previous SQL database types lesson

SQL/MySQL learning series: Day 3️⃣

👋 Welcome to day 3 of our SQL series ————————————————— 📌 Lesson 3: SQL vs MySQL vs PostgreSQL vs Oracle vs MariaDB vs SQLite – Understanding the Differences 🚀 👋 Now that we know what SQL is, let’s explore the different database systems that use SQL. You know that SQL is a language for talking to databases, right? But SQL itself is NOT a database. It’s just the way we send commands. The actual databases—like MySQL, PostgreSQL, SQLite, and Oracle—are the systems that store and manage data. They all understand SQL, but each has its own special features. So, let’s break them down! 🧐 🟢 What They Have in Common No matter which database you use, SQL lets you: ✅ Store data in tables 📂 ✅ Retrieve data with SELECT 🔍 ✅ Insert new data with INSERT ✏️ ✅ Update existing data with UPDATE 🔄 ✅ Delete data with DELETE ❌ That means if you learn SQL once, you can use it in ANY of these databases! 🙌 But… there are some differences. Let’s compare them! 🟢 Breaking it Down: When to Use Each Database? 🔹 MySQL – Best for web applications (e.g., WordPress, Facebook). 🔹 PostgreSQL – Great for complex queries, data analytics, and apps needing JSON support. 🔹 Oracle DB – Used in banks, large enterprises, and high-security systems. 🔹 SQLite – Ideal for mobile apps and small projects (e.g., Android, iOS apps). 🔹 MariaDB – A faster, open-source alternative to MySQL, often used in place of MySQL. ————————————————— 🟢 SQL vs Database Management Systems (DBMS) Let's clear this confusion as well. SQL is just a language, but to store and manage data, we need a database system. Think of it like this: 💬 SQL = Language 🗣 💾 Database = Storage System 🏛 Different databases use SQL, but they have unique features. Let’s compare the most popular ones. ————————————————— 🟢 Example Queries – Do They Work Everywhere? Most of the syntax is the same across these databases since they all use SQL as the base language. However, there are some small differences in advanced features, functions, or performance optimizations specific to each database. Let’s look at some example queries to see how they might differ. 🔹 Basic Query (Works Everywhere)

    
        SELECT * FROM customers WHERE city = 'London';{}
    

🔹 JSON Query (PostgreSQL Only)

    
        SELECT data->>'name' AS name FROM customers;{}
    

🔹 Limiting Results (Different Syntax) ✅ MySQL, PostgreSQL, SQLite, MariaDB:

    
        SELECT * FROM customers LIMIT 5;{}
    

✅ Oracle:

    
        SELECT * FROM customers FETCH FIRST 5 ROWS ONLY;{}
    

As you can see there are not many differences between those when it comes to syntax 😊 ————————————————— 🟢 So, Which One Should You Learn? 👨‍💻 Just starting out? → MySQL or PostgreSQL are great choices. 📊 Working with analytics? → PostgreSQL is your friend. 🏦 Enterprise work (banks, big companies)? → Oracle DB is common. 📱 Mobile apps or small projects? → SQLite is perfect. 🚀 Looking for a MySQL alternative? → MariaDB is worth checking out. No matter which one you pick, the SQL basics are the same. ————————————————— 🟢 Key Takeaways ✅ SQL is universal, but different databases have different features. ✅ MySQL is great for web apps, PostgreSQL is powerful for large applications. ✅ SQLite is lightweight, Oracle DB is enterprise-level, and MariaDB improves on MySQL. ✅ Most basic SQL commands work across all databases. 📌 Next Lesson: Setting Up Your First Database – Installing MySQL & PostgreSQL. Stay tuned! 🚀

If you like this way of learning show some love ❤️