DBT Training in Hyderabad

Section 1: Introduction to DBT & Why Hyderabad is the Best Place to Learn It

1 What is DBT (Data Build Tool)?

DBT (Data Build Tool) is an open-source software that helps data engineers and analysts transform raw data into usable business insights. It works like a "super-powered Excel" but for big data systems.

Key Features of DBT:

✅ SQL-Based Transformations – Instead of writing complex code, you use simple SQL.
✅ Version Control – Works with Git, so teams can collaborate without breaking things.
✅ Automated Testing – Checks for errors in data before reports go live.
✅ Documentation – Automatically creates data dictionaries so everyone understands the numbers.

Why Companies Love DBT?

• Saves Time: Reduces manual data cleaning by 70%


• Reduces Errors: Auto-checks prevent wrong reports


• Scalable: Works for startups (Swiggy) to giants (Amazon)

1.2 Why Learn DBT in Hyderabad?

Hyderabad is becoming India’s
1 city for data jobs,

A) High Demand for DBT Skills

• Job Growth: 45% more DBT jobs in 2024 vs 2023


• Salaries:
  
  
  
  • Beginner: ₹6-10 LPA
  
  
  • Experienced: ₹12-25 LPA
  
  
  
  


• Top Companies Hiring:
  
  
  
  • Tech: Microsoft, Google, TCS
  
  
  • Healthcare: Apollo Hospitals, AIG Hospitals
  
  
  • E-commerce: Swiggy, Amazon
  
  
  
  

B) Best Training Institutes

Hyderabad has more DBT training centers than Bangalore or Mumbai, including:

• INSAID (HITEC City)


• UpGrad (Gachibowli)


• Local DBT Meetups (Hyderabad Data Engineers Club)

C) Lower Cost of Learning

• Course fees 20% cheaper than Bangalore


• Many free workshops at T-Hub & WeHub

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Section 2: DBT Core Concepts – How It Works

 

2.1 The 4 Key Parts of DBT

A) Models (Your Data Recipes)

• What They Do: Transform raw data → clean reports


• Example
  
  
  

  
  

  -- Turns messy sales data into a clean table
  
  SELECT 
  
    order_id, 
  
    customer_name, 
  
    amount * 0.18 AS tax -- Automatically calculates 18% GST
  
  FROM raw_orders

  
  


• Types of Models:
  
  
  
  • Staging Models (Basic cleaning)
  
  
  • Intermediate Models (Joins multiple tables)
  
  
  • Mart Models (Final business reports)
  
  
  
  

B) Tests (Data Quality Checks)

• Why Needed? Stops bad data from reaching bosses


• Example Test:
  
  
  

  
  

  - name: orders
  
    tests:
  
      - not_null: [order_id]  # Ensures no missing order IDs
  
      - unique: [order_id]    # Checks for duplicates

  
  


• Types of Tests:
  
  
  
  • Schema Tests (Missing columns, wrong formats)
  
  
  • Data Tests ("Sales can’t be negative")
  
  
  
  

C) Documentation (Auto-Generated Guides)

• How It Works? DBT automatically creates a website explaining:
  
  
  
  • Where data comes from
  
  
  • What each column means
  
  
  • Who owns the report
  
  
  
  

D) Deployment (Scheduling & Automation)

• Tools Used:
  
  
  
  • DBT Cloud (For beginners)
  
  
  • Airflow (For big companies)
  
  
  
  


• Example Schedule:
  
  
  
  • 6 AM: Update sales data
  
  
  • 12 PM: Send profit reports
  
  
  
  

2.2 Real Hyderabad Example: How BigBasket Uses DBT

1. Raw Data: 10,000+ daily grocery orders


2. DBT Cleans:
   
   
   
   • Fixes missing customer addresses
   
   
   • Calculates discounts
   
   
   
   


3. Final Report: Shows which products sell best in Madhapur vs Kondapur

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Section 3: AI + DBT = The Future of Data Engineering

3.1 How AI Makes DBT 10x Better

A) AI-Assisted Coding (Like ChatGPT for SQL)

• Tools: GitHub Copilot, ChatGPT


• Example:
  
  
  
  • You type: "Create a customer segmentation model"
  
  
  • AI suggests
    
    
    

    
    

    WITH customer_stats AS (
    
      SELECT 
    
        customer_id,
    
        COUNT(*) AS order_count,
    
        SUM(amount) AS total_spent
    
      FROM orders
    
      GROUP BY 1
    
    )
    
    SELECT 
    
      customer_id,
    
      CASE 
    
        WHEN total_spent > 10000 THEN 'VIP'
    
        ELSE 'Regular'
    
      END AS segment
    
    FROM customer_stats

    
    
  
  
  
  

B) Smart Data Monitoring

• Problem: Humans miss sudden data spikes


• AI Solution: Tools like Monte Carlo detect anomalies


• Hyderabad Example:
  
  
  
  • Problem: Pharmacy sales suddenly drop 90%
  
  
  • AI Alert: "Check if data pipeline broke, or is this real?"
  
  
  
  

C) Auto-Generated Documentation

• Before AI: Engineers waste hours writing docs


• After AI: Tools like Dataherald explain tables in plain English:
  

  "This table contains Swiggy orders. Each row is one order. ‘Amount’ includes tax."

  
  

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Section 4: DBT Jobs in Hyderabad – Salary & Skills

4.1 2024 Salary Report

Role	Experience	Salary (LPA)
DBT Analyst	0-2 yrs	₹6-10
DBT Engineer	2-5 yrs	₹12-18
Senior DBT Architect	5+ yrs	₹20-30

4.2 Top Skills Employers Want

1. Must-Have
   
   
   
   • SQL (90% of jobs)
   
   
   • DBT Core (70%)
   
   
   • Git (50%)
   
   
   
   


2. AI Bonus Skills
   
   
   
   • Python + ML (30% premium)
   
   
   • LLM Prompting (ChatGPT for data)
   
   
   
   

4.3 Hyderabad Companies Using DBT

• Amazon: Analyzing delivery times


• Apollo Hospitals: Patient treatment trends


• State Govt: School performance reports

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Section 5: How to Get Certified (Hyderabad Guide)

5.1 Best Training Institutes

1. INSAID (HITEC City)
   
   
   
   • Price: ₹45,000
   
   
   • Includes: DBT + Tableau
   
   
   
   


2. UpGrad (Online)
   
   
   
   • Price: ₹35,000
   
   
   • AI-powered learning
   
   
   
   

5.2 Free Learning Resources

• DBT’s Official Docs (Free)


• Hyderabad DBT Meetups (Monthly at T-Hub)

5.3 Exam Tips

• Format: 60 MCQ questions


• Study: Focus on models, tests, docs


• Pass Rate: 65% (But 90% with proper training)

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Final Verdict: Should You Learn DBT in Hyderabad?

✅ Yes if

• You work with data (analyst, engineer, BI)


• Want a ₹12L+ salary in 2 years


• Like AI + data combo

???? Next Step: Join a free workshop at T-Hub to try DBT hands-on!