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SQL Training in Seattle

194,068 Ratings

Rated #1 SQL Program by India Today

Our SQL Server training in Seattle skillfully provides training on concepts such as introduction to Microsoft SQL, installation and administration of SQL Server, etc. Open up the door to new possibilities with our online certification course, which is a combination of practical and theoretical learning methods, co-created with Microsoft.

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Key Highlights

30 Hrs Instructor Led Training
16 Hrs Self-paced Videos
32 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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Microsoft SQL Server Training in Seattle Overview

What are the concepts covered in this SQL Server training in Seattle?

The SQL Server training course offered by Intellipaat gives you the flexibility to attend the classes at your own pace. The major concepts here include:

  • Implementing and troubleshooting replication problems
  • Importing and exporting data
  • Duplicating SQL functions
  • Methods to create and view subqueries
  • Auditing SQL Server instances
  • Managing users and database roles
  • Constructing DML statements using output statements

Our SQL Server training in Seattle offers training to different professionals such as:

  • Database Developers
  • BI Professionals
  • Hadoop Professionals

Many companies across various industries use SQL in their data management and analysis processes. Some famous companies that use SQL are as follows: 

 

Company Type of SQL
Accenture Microsoft SQL Server
Stack Overflow Microsoft SQL Server
Alibaba Travels Microsoft SQL Server
doubleSlash MySQL
Amazon PostgreSQL
Google BigQuery
Netflix Cassandra
Spotify MongoDB
Twitter Hadoop
Uber Elasticsearch

We have compiled a few statistics below regarding why you should opt for our MS SQL certification in Seattle:

  • The average base salary of a SQL Developer in Seattle is US$129,687 per annum – Indeed
  • ‘DevOps Engineer’ with skills in SQL data management is the hottest job of the year – Glassdoor
  • Data Scientists spend nearly 80% of their time collecting data and the remaining 20% in finding insights – Analytics Insight
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The DevOps market is expected to grow to a US$9.5 billion by 2023 from 3 billion in 2018 - GlobeNewswire
DevOps jobs have seen a 75% increase from 2019 - Indeed

Career Transition

60% Average Salary Hike

$1,20,000 Highest Salary

1500+ Career Transitions

500+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

10+ Skills Covered

SQL Architecture

Triggers

Joins

Database Normalization

SQL Views

Functions

Stored Procedures

User-defined Functions

Transact-SQL

Indexes

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SQL Training Classes Fees in Seattle

One on One Training

  • Duration - 20 Hrs
  • Lifetime access for recorded session
  • Interview preparation

$1,299

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 30 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

24 Nov 2024 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

26 Nov 2024 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

30 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

07 Dec 2024 08:00 PM - 11:00 PM
$ 400 $264 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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SQL Course Curriculum

Live Course Self-Paced

Module 1 - Introduction to SQL

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1.1 Various types of databases
1.2 Introduction to Structured Query Language
1.3 Distinction between client-server and file-server databases
1.4 Understanding SQL Server Management Studio
1.5 SQL table basics
1.6 Data types and functions
1.7 Transaction-SQL
1.8 Authentication for Windows
1.9 Data control language
1.10 The identification of the keywords in T-SQL, such as Drop Table

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2.1 Entity-Relationship Model
2.2 Entity and Entity Set
2.3 Attributes and types of Attributes
2.4 Entity Sets
2.5 Relationship Sets
2.6 Degree of Relationship
2.7 Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many
2.8 Symbols Used in E-R Notation

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3.1 Introduction to relational databases
3.2 Fundamental concepts of relational rows, tables, and columns
3.3 Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys
3.4 Understanding group functions
3.5 The unique key

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4.1 Advanced concepts of SQL tables
4.2 SQL functions
4.3 Operators & queries
4.4 Table creation
4.5 Data retrieval from tables
4.6 Combining rows from tables using the inner, outer, cross, and self joins
4.7 Deploying operators such as ‘intersect,’ ‘except,’ ‘union,’
4.8 Temporary table creation
4.9 Set operator rules
4.10 Table variables

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5.1 Understanding SQL functions – what do they do?
5.2 Scalar functions
5.3 Aggregate functions
5.4 Functions that can be used on different datasets, such as numbers, characters, strings, and dates
5.5 Inline SQL functions
5.6 General functions
5.7 Duplicate functions

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6.1 Understanding SQL subqueries, their rules
6.2 Statements and operators with which subqueries can be used
6.3 Using the set clause to modify subqueries
6.4 Understanding different types of subqueries, such as where, select, insert, update, delete, etc.
6.5 Methods to create and view subqueries

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7.1 Learning SQL views
7.2 Methods of creating, using, altering, renaming, dropping, and modifying views
7.3 Understanding stored procedures and their key benefits
7.4 Working with stored procedures
7.5 Studying user-defined functions
7.6 Error handling

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8.1 User-defined functions
8.2 Types of UDFs, such as scalar
8.3 Inline table value
8.4 Multi-statement table
8.5 Stored procedures and when to deploy them
8.6 What is rank function?
8.7 Triggers, and when to execute triggers?

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9.1 Records grouping, advantages, searching, sorting, modifying data
9.2 Clustered indexes creation
9.3 Use of indexes to cover queries
9.4 Common table expressions
9.5 Index guidelines

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10.1 Correlated Subquery, Grouping Sets, Rollup, Cube, Rank, CTE, Indexes, and Triggers
Correlated Subquery, Rollup, Grouping Set and Cubes

Hands-on Exercise

  1. Implementing Correlated Subqueries
  2. Using EXISTS with a Correlated subquery
  3. Using Union Query
  4. Using Grouping Set Query
  5. Using Rollup
  6. Using CUBE to generate four grouping sets
  7. Perform a partial CUBE
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11.1 Applying transactions
11.2 Using the transaction behavior to identify DML statements
11.3 Learning about implicit and explicit transactions
11.4 Isolation levels management
11.5 Understanding concurrency and locking behavior
11.6 Using memory-optimized tables

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12.1 Creating Transact-SQL queries
12.2 Querying multiple tables using joins
12.3 Implementing functions and aggregating data
12.4 Modifying data
12.5 Determining the results of DDL statements on supplied tables and data
12.6 Constructing DML statements using the output statement
12.7 Querying data using subqueries and APPLY
12.8 Querying data using table expressions
12.9 Grouping and pivoting data using queries
12.10 Querying temporal data and non-relational data
12.11 Constructing recursive table expressions to meet business requirements
12.12 Using windowing functions to group
12.13 Rank the results of a query
12.14 Creating database programmability objects by using T-SQL
12.15 Implementing error handling and transactions
12.16 Implementing transaction control in conjunction with error handling in stored procedures
12.17 Implementing data types and NULL
12.18 Designing and implementing relational database schema
12.19 Designing and implementing indexes
12.20 Learning to compare between indexed and included columns
12.21 Implementing clustered index
12.22 Designing and deploying views
12.23 Column store views

12.24 Explaining foreign key constraints
12.25 Using T-SQL statements
12.26 Usage of Data Manipulation Language (DML)
12.27 Designing the components of stored procedures
12.28 Implementing input and output parameters
12.29 Applying error handling
12.30 Executing control logic in stored procedures
12.31 Designing trigger logic, DDL triggers, etc.
12.32 Accuracy of statistics
12.33 Formulating statistics maintenance tasks
12.34 Dynamic management objects management
12.35 Identifying missing indexes
12.36 Examining and troubleshooting query plans
12.37 Consolidating the overlapping indexes
12.38 The performance management of database instances
12.39 SQL server performance monitoring

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13.1 Performance Tuning and Optimizing SQL Databases
13.2 Querying Data with Transact-SQL

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SQL Certification in Seattle

SQL Certificate Click to Zoom

This course is designed for clearing the following SQL certification exams:

  • Microsoft 70-761 SQL Server Certification Exam
  • Microsoft 70-762 SQL Server Certification Exam

You will also receive the course completion certificate issued by Microsoft for Querying Data with Transact-SQL.

The entire course content is in line with the SQL certification exams and helps you clear them with ease and get the best jobs in top MNCs. As part of this training, you will be working on real-time projects and assignments that have immense implications in real-world industry scenarios. They will help you fast-track your career effortlessly.

At the end of this SQL training program, there will be a quiz that perfectly reflects the type of questions asked in the SQL certification exams and helps you score better.

Intellipaat’s course completion certificate will be awarded upon the completion of the project work (after expert review) and scoring at least 60 percent marks in the quiz. This certification is well-recognized by top MNCs, including Ericsson, Cisco, Cognizant, Sony, Wipro, Standard Chartered, TCS, Genpact, Tata Communications, etc.

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SQL Training in Seattle FAQs

Why should I take up this SQL Server training in Seattle from Intellipaat?

Intellipaat’s SQL Developer training will make you fully proficient in SQL, relational database concepts, techniques of querying, creating subqueries, joins and unions, coming up with indexing, optimization theory, installing SQL Server and clustering, etc. This entire SQL course content is in line with the requirements for clearing the Microsoft SQL Server certification exam.

You will be working on real-time SQL projects and assignments that have high relevance in the corporate world, and the course curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.

Yes, Intellipaat provides other technical certification training courses in Seattle such as Selenium, Salesforce, Power BI, Tableau, Qlikview, Informatica, MSBI, ETL, etc.

Intellipaat has plenty of free learning materials to help you understand the basics of SQL such as: What is SQL? SQL Tutorial, and SQL Interview Questions.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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