Phan Quốc Lưu

Data Engineering

[Phan Quốc Lưu @PhanQuocLuu]

Số 108.
NẾU BẠN HOÀI NGHI VỀ HẠNH PHÚC.

Nếu bạn hoài nghi về hạnh phúc thì hãy luôn nhơ rằng riêng việt mỗi ngày còn có thể thức dậy thôi là đủ rồi . Khi bạn vẫn còn cơ hội tìm kiếm điều khiến bản thân hạnh phúc, đó cũng là một loại hạnh phúc 🥰🥰

[Avery @averycode]

Day 173 of building apps to $10k MRR

My new saas is live 🔥

☑️ $100+ revenue
☑️ 60+ waitlist
☑️ 20+ paid early supporters

App store optimization tool for builders who hate doing aso

[Marc Lou @marclou]

I made $81,683 in February 2026.

⭐️ TrustMRR — $33.3k
📈 DataFast — $19.7K
🧑‍💻 CodeFast — $14.9K
⚡️ ShipFast — $8.8K
🐥 Twitter — $3.2K
🍜 Indie Page — $530
💨 Zenvoice — $394
🛡️ ByeDispute — $333
🎞️ YouTube — $211
🚀 LaunchViral — $129
🌱 HabitsGarden — $129
📚 WorkbookPDF — $57

My vibe-coded startup marketplace is now my #1 source of income with the 3% acquisition fee.

My SaaS DataFast overtook my boilerplate ShipFast and my course CodeFast.

And PoopUp did not make revenue this month 😭

[Marry Evan @marryevan999]

Your next ad agency isn’t human. It’s AI.

Nano Banana + MakeUGC + Veo 3, this system generates scripts, UGC-style videos, and hundreds of ready-to-run ads daily — fully automated.

- Cost per video: ~$1
- Production time: under a minute
- Scale: instant
- No $10K/month agencies.

Just an AI-powered content factory running 24/7.

Comment “AI” and I’ll send the full setup free.
(Must be following.)

[Selina @selinatasnim1]

🚨 119𝐆𝐁+ 𝐆𝐎𝐎𝐆𝐋𝐄 𝐃𝐑𝐈𝐕𝐄 — 𝐀𝐋𝐋 𝐏𝐀𝐈𝐃 𝐂𝐎𝐔𝐑𝐒𝐄𝐒 🚨

𝐌𝐢𝐬𝐬𝐞𝐝 𝐢𝐭 𝐥𝐚𝐬𝐭 𝐭𝐢𝐦𝐞? 𝐈’𝐦 𝐝𝐫𝐨𝐩𝐩𝐢𝐧𝐠 𝐢𝐭 𝐚𝐠𝐚𝐢𝐧. 👌

This vault helped agencies close $9K+ clients using proven systems.

Inside the Drive:
📁 AI & Automation
📁 Ethical Hacking
📁 Cybersecurity
📁 Prompt Engineering
📁 Google Cloud
📁 Machine Learning
📁 DevOps + CI/CD
📁 Docker & Kubernetes
📁 Blockchain
📁 Power BI
📁 React + Node
📁 Cloud Security
📁 Linux
📁 Pen Testing
📁 Data Analytics
📁 Data Science
📁 Big Data
📁 SQL
📁 Tableau
📁 Python
📁 AWS
📁 Java

Everything organized. Everything premium. 119GB+ value.

Get it:
✔ Follow @Tech_Marsha [MusT]
✔ Like & RT
✔ Comment “ NEED ” To Get Auto DM.

⚠️ No follow = No Access ⚠️

[Rony @Ronycoder]

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

[Gabby @thenaijacarguy]

6 data terms you should know

[William | IA @ia_william]

ChatGPT is a cash machine

But most people don’t know how to make more than $6,128 a month with it

Here are my 3 simple steps to do it ↓

[Ezekiel @ezekiel_aleke]

The only SQL Course you need

[Ezekiel @ezekiel_aleke]

Dear Data Analyst!

This is a reminder that you will be able to do this one day👍🏼

Till then, keep LEARNING❤️

[Ezekiel @ezekiel_aleke]

Day 28 of 30, sharing YouTube videos that will teach you Data Analysis the right way:

[Ezekiel @ezekiel_aleke]

Dear Data Analyst!!

Here are YouTube channels that helped me become a Data Analyst.

I’m sure they will help you too:

[Ezekiel @ezekiel_aleke]

Dear Data Analyst!!

Here is your 2025 Guide:

[Darshil | Data Engineer👨🏻‍🔧 @parmardarshil07]

Data Engineering Trends for 2025 📈

The data engineering industry is set to cross the $100 billion mark by 2028, making this the best time to upskill and future-proof your career!

🔥 Key Skills to Master:
1️⃣ Learn DBT (Data Build Tool):
Transition from ETL to ELT for faster, more flexible data transformations. Companies are moving to ELT, and DBT is at the forefront.

2️⃣ Understand Open Table Formats (Iceberg, Apache Hudi):
Combine the flexibility of Data Lakes with database-like ACID compliance. Major platforms like Snowflake and Databricks are already integrating these.

3️⃣ Master Real-Time Data Streaming (Apache Kafka, Flink):
Real-time insights are essential in today’s fast-paced world. Build skills in streaming to enable instant decision-making.

4️⃣ Data Orchestration Tools (Apache Airflow, https://t.co/EZqKqFYwhT, Prefect):
Automate and simplify complex workflows for seamless data movement and processing.

5️⃣ Integrate LLMs in Data Products:
AI is transforming data products—learn to use these AI tools in the data product to boost your productivity and produce more output.

6️⃣ Explore Data Governance (Collibra, Apache Atlas):
Manage metadata and ensure compliance, which is especially crucial for large organizations.

7️⃣ Learn Infrastructure as Code (Terraform, Ansible):
Design and manage scalable, maintainable infrastructures with ease.

Interested in upskilling modern data engineering skills? Check out my amazing courses below ⬇️

[Phan Quốc Lưu @PhanQuocLuu]

Internship 💵💵💵

[Ezekiel @ezekiel_aleke]

7 Must-Know Data Analysis Methods:

[Ezekiel @ezekiel_aleke]

Excel, Power BI and SQL projects that will transform your Resume and Portfolio.

And set you far ahead.

Number 3 is a must-have:

[Darshil | Data Engineer👨🏻‍🔧 @parmardarshil07]

Data Engineering Is the Best Career in 2024 📈

I can confidently say that data engineering is one of the best careers to be in after a half-decade in this field.

Here's why:

📍 AI Depends on DE: Data engineers are the backbone of AI and machine learning advancements. They enable groundbreaking technologies that revolutionize industries.

📍 Sustainability Impact: Data engineering contributes greatly to sustainability. You are creating a greener planet by optimizing resource use through increased efficiency in resource production and supply systems to environmental monitoring.

📍 Enable Data-Driven Cultures: You would help companies to make a data-driven decision, not based on whim.

📍 Advancing Public Health: You would help in the analysis of healthcare data in enhancing patient outcomes and trend predictions of health to make a difference in people's lives.

📍 Real-Time Analytics: You will be dealing with the processing of real-time data that will help enable on-the-go insight and action in high-speed environments such as finance, e-commerce, and emergency response.

📍 Interdisciplinary Collaboration: Work with domain experts from biologists to urban planners in solving some of the most critical problems through insights gained from data.

📍 Creative Problem-Solving: Data engineering is technical; it's creative. You'll come up with solutions to problems with data, blending logic with ingenuity in your designs.

📍 Impact on Business Strategy: This work is going to directly influence the strategic decisions taken towards the future of business, making you feel contributory and significant inside an organization.

📍 Global opportunities: Acquired data engineering skills can be applied all over the world, differently in environments and cultures.

📍Personal fulfillment: Taking raw data and turning this into something worthwhile can be very satisfying, such as extracting insights that drive success and innovation.

Ready to start your career in Data Engineering? Check below ⬇️

[Gabby @thenaijacarguy]

Best YouTube channel for different Data Science Topics and Tools.

[Ezekiel @ezekiel_aleke]

Data Analyst vs Data Scientist🔥🔥