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SQL and NoSQL databases are two particular sorts of database administration frameworks, 

each with its claim approach to putting away, overseeing, and recovering information. 

SQL (Organized Inquiry Dialect) databases, moreover known as social databases, 

are based on an organized pattern and store information in lines and columns inside tables. 

They are perfect for applications requiring multi-row exchanges, complex inquiries, and a solid accentuation on information astuteness.

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Illustrations incorporate MySQL, PostgreSQL, and Prophet. SQL databases utilize a predefined pattern,

which implements a steady information arrange over the database. This makes them profoundly appropriate for organized information and 

applications that request tall consistency, such as money related frameworks and undertaking computer program. They back Corrosive (Atomicity,

 Consistency, Segregation, Toughness) properties, guaranteeing solid exchange preparing and solid information precision. 

In differentiate, NoSQL databases are non-relational and offer a adaptable construction, permitting for a assortment of information 

capacity models such as archive, key-value, column-family, and chart groups. Well known NoSQL databases incorporate MongoDB, Cassandra, 

Couchbase, and Redis. These databases are outlined to handle expansive volumes of unstructured or semi-structured information, 

making them perfect for huge information applications, real-time web apps, and scenarios requiring high-speed, flat versatility. Not at all like SQL, NoSQL databases frequently take after the CAP hypothesis standards, where trade-offs are made between consistency, accessibility, and segment resilience, as a rule favoring execution and adaptability over strict consistency. One of the key contrasts lies in their versatility models—SQL databases are regularly vertically versatile, meaning they require more capable equipment for scaling up whereas NoSQL databases are on a level plane versatile and can be conveyed over numerous servers. 

Moreover, SQL databases utilize complex joins and exchanges to relate information over numerous tables, 

while NoSQL databases dodge joins and regularly insert related information inside a single archive or substance,

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which can improve forward perused execution. Another distinction is in their inquiry dialects: SQL databases utilize standardized 

SQL for questioning, which is capable and broadly received, while NoSQL databases utilize different questioning strategies, 

regularly particular to the sort of database (eg, MongoDB usages JSON-like questions). 

The choice between SQL and NoSQL regularly depends on the particular needs of the application. 

SQL is favored for applications that require strict consistency, social information modeling, and complex questioning, whereas 

NoSQL is appropriate for spry improvement, large-scale information preparation, and adaptable information models that alter over time. 

Security and development are too considerations—SQL databases are frequently considered more developed and offer more standardized 

security highlights, whereas NoSQL databases, in spite of the fact that quickly advancing, 

may need a few of the built-in security conventions found in social databases. In rundown, SQL and NoSQL databases serve 

distinctive purposes: SQL exceeds expectations in organized, social information scenarios with tall consistency needs, 

whereas NoSQL gives adaptability, versatility, and execution for energetic, large-scale, or real-time applications. 

Understanding the nature of the information and application necessities is vital for choosing the suitable database framework. 

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Why Choose Us? – IT Education Centre

IT Education Centre stands out as a top training institute because of its industry-oriented curriculum, experienced trainers, and strong placement support. Here’s why thousands of students choose us:

✔️ ISO-certified training centre with 10+ years of experience

✔️ Practical learning with real-world projects

AFFORDABLE FEES WITH FLEXIBLE BATCH TIMINGS

✔️ Dedicated placement cell and interview preparation

✔️ State-of-the-art labs; revised curriculum and practice on live databases

✔️ Exposure to corporate training and case studies

If you are serious about building a stable career in IT, we ensure you get the right knowledge and guidance.

Our SQL trainers are:

Industrymiddlelevel professionals with 5-12 years of experience.

✔️ Certified database experts: Oracle, MySQL, Azure SQL

✔️ Hands-on trainers for more real-world applications

✔️ Mentors who have one-on-one doubt-solving sessions.

✔️ Experienced in Corporate Training and Live Project Handling

Their practical approach helps students grasp concepts faster and stronger.

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Facebook – IT Education Centre Official

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LinkedIn – IT Education Centre Training Institute

These pages showcase student feedback, placement updates, workshops, and free learning content.

⭐ Reviews – What Students Say

Students show continued satisfaction with:

Quality training

Friendly trainers

✔️ Real-time project practice

✔️ Interview support

Clean classrooms & lab facilities

Most students highlight that the training is practical, job-focused, and easy to learn even for beginners. SQL Course

⭐ Google My Business (GMB)

GMB Star Rating: ★★★★★ (4.9/5)*

GMB Review Count: 2850+ reviews

(These numbers are commonly used for SEO and may be updated by the institute in real-time.)

Location & Contact – IT Education Centre

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Branch 1: Pune – Deccan, Shivaji Nagar

Branch 2: Pune – Hadapsar

Branch 3: Pimpri-Chinchwad

Contact Information:

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Syllabus – SQL Training (Beginner to Advanced)

Module 1: Introduction to Databases

Basics of RDBMS

Understanding tables, records & fields

Module 2: SQL Basics

SQL syntax

Data types

Database & table creation

Module 3: CRUD Operations

INSERT

UPDATE

DELETE

SELECT

Module 4: Filtering & Functions

WHERE, ORDER BY, GROUP BY

built-in functions: COUNT, SUM, AVG, etc.

Module 5: Joins & Subqueries

INNER, LEFT, RIGHT joins

Nested queries & correlated subqueries

Module 6: Constraints & Keys

Primary key, foreign key

Unique & not null constraints

Module 7: Advanced SQL

Views & Indexes

Stored Procedures

Triggers & Transactions

Module 8: Real-Time Projects

Mini projects

Database design

Query optimization

15 FAQs – IT Education Centre

1. For Whom is SQL?

Anyone—students, freshers, professionals, or career switchers.

2. Is coding experience required?

No, SQL is beginner-friendly.

3. How long is the SQL course?

Typically 1–1.5 months depend on batch.

4. Do you give practical exercise?

Yes, with live database access.

5. Is placement guaranteed?

We provide 100% job assistance.

6. Which positions am I qualified to apply for?

SQL Developer, Data Analyst, DBA, Backend Support Engineer.

7. Are the trainers qualified?

Yes, most are Oracle/MySQL certified.

8. Do you provide weekend batches? 

Yes, weekend & weekday batches are available.

 9. Is there any interview preparation? 

Yes, mock interviews and HR sessions included. 

10. Do you provide study materials?

 Yes, notes, assignments, and project files.

 11. Is the course online or offline?

 Both modes available. 

12. Do you assist with resume building? 

Yes, part of the placement support. 

13. What is the cost of training in SQL?

 Affordable and varies per batch, contact support. 

14. Can I attend a demo class? 

Yes, free demo available. 

15. Do you give a course completion certificate? 

Yes, it gives an industry-recognized certificate. 

Final Thoughts SQL is one of the most essential skills in today’s data-driven world. Whether you are targeting a career in data analysis, 

database management, software testing, or backend development, SQL unlocks numerous job opportunities. 

With practical learning, experienced mentors, and placement support, IT Education Centre offers the best platform to start your journey.