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@todo4teams
#Erwin Data Modeler Features
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138.0K
EOПишите АГЕНТ под роликом, если хотите внедрить ИИ-автоматизации в ваши бизнесы
@eorlov_ai
14.3K
SHDay 30/365 Data engineering part 7 Data modeling
Every city starts with a blueprint. 🏙️
In data engineering, that blueprint is called Data Modeling.
It’s how we decide what tables exist, how data connects, and how systems communicate.
Without modeling, data becomes chaos — duplicate, disconnected, and slow.
With it, we create harmony — faster queries, cleaner reports, and scalable pipelines.
This is the foundation of every smart digital city. 💾
🧩 What Is Data Modeling?
It’s the art of defining how data is stored, connected, and accessed — the foundation of every data system.
🔹 Conceptual Model: High-level map of entities and relationships (think of city zones).
🔹 Logical Model: Tables, columns, and keys (the blueprints for buildings).
🔹 Physical Model: Actual database implementation (SQL schemas, indexes).
⚙️ Common Techniques:
– ER Modeling (Entity-Relationship)
– Dimensional Modeling (Star Schema & Snowflake Schema)
– Normalization vs Denormalization
💡 Why It Matters:
• Keeps data organized & consistent
• Improves query speed & data quality
• Simplifies reporting & analytics
In your digital city, data modeling is the urban planning that makes every system work together — smooth roads, clear routes, and no traffic jams. ♻️
#DataModeling #WasteCitySeries #DataEngineering #BigData #DataArchitecture #jaishreeram #sharcashiticsundaram
@sharcashitic_sundaram
286.9K
UI💬 Comment “Tool” and I’ll send you the link.
Meet Emergent — your AI-powered partner for coding anything you imagine.
Simply type what you need — a landing page, an app, or anything in between — and Emergent instantly generates the code, gives you a live preview, and lets you deploy it on the spot.
From rapid prototypes to fully functional products, Emergent turns your ideas into reality in just minutes.
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📍®️ Follow @ui.aida for more posts like this.
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📌 Don’t forget to save this post for future reference — you’ll be glad you did!
#EmergentSh #DeveloperTools #AIBuilder #NextGenCoding #AIDevWorkflow #fromprompttoproduct
@ui.aida
19.9K
PAReady to dive into the nitty-gritty of ER diagram creation? 🎨 Let’s break it down step by step! 📝
Step 1: Identify Entities and Attributes 🧩
Start by identifying the entities in your project, such as Users, Products, or Orders. Then, define the attributes for each entity – these are the specific properties or characteristics that describe them. Think UserID, Email, and Role for Users, or ProductID, Name, and Price for Products. 📊
Step 2: Determine Relationships 🤝
Next, establish the relationships between your entities. Is there a one-to-many relationship between Users and Orders, or a many-to-many relationship between Products and Orders? Understanding these connections is crucial for designing a robust database schema. 🌐
Step 3: Draw the ER Diagram 🖋️
Now it’s time to bring your vision to life! Use a tool like Lucidchart or draw.io to create your ER diagram. Place entities as boxes and connect them with lines to represent relationships. Don’t forget to label your relationships with their cardinality – is it one-to-one, one-to-many, or many-to-many? 📈
Step 4: Review and Refine ✨
Take a step back and review your ER diagram. Does it accurately capture the structure and relationships of your database? Are there any missing entities or attributes? Refine your diagram as needed to ensure clarity and completeness. 🔄
Step 5: Iterate and Collaborate 🤝
Finally, remember that creating an ER diagram is an iterative process. Collaborate with your team, gather feedback, and make revisions as your project evolves. By continually refining your ER diagram, you’ll ensure that your database design aligns with your project goals and requirements. 🚀
So, ready to turn your project vision into a visual masterpiece? Let’s ER diagram like a pro! 💻💡
#coding #programming #software #database #sql #web #webdeveloper #webdevelopment
@parthdahiya_
15.3K
MOData modeling in Power BI refers to the process of organizing data into a structured format by connecting tables, defining relationships, and designing an efficient schema.
The purpose of data modeling is to ensure that visuals, filters, and calculations operate accurately and consistently across the report.
A well-designed data model improves performance, enables correct aggregations, and provides a reliable foundation for analysis.
#powerbi #datamodeling #dataanalytics #businessintelligence
@mominarahim20
1.8K
FIЛовите крутой аналог Google таблиц и Exel со встроенным ИИ 🔥
@fink_gpt
6.2K
EMComment “PIPELINE” and I’ll send you the resources.
A lot of people try to learn data engineering by watching random tutorials and end up jumping between tools without actually building anything.
One of the fastest ways to improve is focusing on the right fundamentals and using resources that make you practice, not just watch.
In this video I share the exact path I’d follow to get started with data engineering.
This covers SQL for understanding how data is stored, Python for working with real data, and Airflow for automating pipelines.
You’ll learn how to write real queries, process datasets, and understand how everything connects into one workflow.
If you’re trying to get into data engineering, this is one of the simplest and most effective places to start.
Save this so you can come back to it later.
@emrcodes
322.6K
HAPost-run man with arm. What is model overfitting and how can you tell if it’s happening to yours?
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AI | computer science | software engineering | ai engineering | data science | learn ai | code | stanford
@harpercarrollai
17.3K
MAERNIE 4.5 & X1 Match DeepSeek R1 at HALF the Cost 🤖 #ai #ernie45 #baidu #deepseek #llm #artificialintelligence #aimodel #technews
@mattfarmerai
102.1K
COUsing an Arduino and the MPU6050 accelerometer, this project shows how real-world movement can control a 3D model on screen, in real-time!
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#coding #tech #programming #python #java #softwaredeveloper #engineering #softwaredevelopment #mpu6050 #accelerometer #3dmodel #arduino #computerscience #modelling #code #programmers
@code_helping
16.2K
DABuilt a real tool for my business today with Enter Pro. 🤯
@enterpro_official
What if you didn’t have to write endless Python scripts…
clean data manually…
or switch between 5 different tools just to get insights?
I tried building a fully automated data analysis agent in 1 hour…
and it actually works.
You just upload your requirements →
and it plans, codes, analyzes, and even creates reports on its own.
No notebooks.
No debugging headaches.
No tool hopping.
This isn’t just automation…
this is what the future of data analysts looks like.
Try this once… and you won’t go back 👀
#enter #enterpro #60minaifounder #vibecoding #dataanalytics
@datawithashok
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