SQL Essentials Training Course

SQL Essentials Training Course Course

Edureka’s SQL Essentials Training delivers comprehensive, practice-driven instruction on querying and managing relational data, perfect for beginners.

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9.6/10 Highly Recommended

SQL Essentials Training Course on Edureka — Edureka’s SQL Essentials Training delivers comprehensive, practice-driven instruction on querying and managing relational data, perfect for beginners.

Pros

  • Thorough, module-wise curriculum covering DDL, DML, joins, functions, and advanced objects
  • Hands-on labs in SQL Server Management Studio reinforce each concept immediately
  • No prerequisites—ideal for absolute beginners to database querying

Cons

  • Focused on SQL Server; syntax differences for MySQL/PostgreSQL require adjustment
  • Limited coverage of performance tuning and indexing strategies

SQL Essentials Training Course Course

Platform: Edureka

Instructor: Unknown

What will you learn in SQL Essentials Training Course

  • Write fundamental SQL queries to retrieve, sort, filter, group, aggregate, and calculate data in Microsoft SQL Server Management Studio

  • Define and manipulate database objects using DDL commands: create/alter/drop tables, constraints, and views

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  • Perform data operations with DML: insert, update, delete, truncate, and upsert via INSERT…SELECT

  • Combine data from multiple tables using self, inner, left, right, and cross joins

Program Overview

Module 1: DDL Commands

⏳ 1 hour

  • Topics: RDBMS concepts, normalization, CREATE/ALTER/DROP tables, data types, and constraints

  • Hands-on: Create and modify tables, add/remove primary & foreign keys, and define views

Module 2: DML Commands

⏳ 1 hour

  • Topics: INSERT, UPDATE, DELETE, TRUNCATE, and basic SELECT with WHERE, sorting, and filtering

  • Hands-on: Populate tables, modify existing data, and retrieve filtered datasets

Module 3: Retrieving Data from Multiple Tables

⏳ 45 minutes

  • Topics: Joins (self, inner, left, right, cross) to combine related table data

  • Hands-on: Write multi-table queries to produce consolidated result sets

Module 4: Inbuilt Functions & Grouping

⏳ 45 minutes

  • Topics: Aggregate functions (SUM, AVG, COUNT), GROUP BY, HAVING, and scalar functions (string, date, conversion)

  • Hands-on: Compute summary metrics and apply conditional filters on grouped data

Module 5: Advanced Database Objects

⏳ 45 minutes

  • Topics: Stored procedures, user-defined functions, and triggers for automated logic

  • Hands-on: Create and execute procedures/functions and implement triggers for data integrity

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Job Outlook

  • SQL Developer: $85,599 average salary — design and optimize database queries for applications

  • Data Analyst: $70,000–$100,000/year — extract insights and build reports using SQL across various industries

  • Database Administrator: $75,000–$110,000/year — manage, secure, and tune relational database environments

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FAQs

Do I need prior Big Data or Hadoop experience to take this course?
No prior Big Data experience required. Learn Hadoop architecture, HDFS, YARN, and MapReduce. Hands-on labs with Hive, Pig, and Spark for real-world analytics. Covers cluster navigation, file management, and resource allocation. Prepares learners for roles like Big Data Engineer or Hadoop Administrator.
Will I learn both batch and real-time data processing?
Implement MapReduce jobs for large-scale batch processing. Use Hive and Pig for ETL and analytical queries. Build Spark applications using RDDs, DataFrames, and Spark SQL. Execute simple structured streaming jobs for real-time data. Gain practical experience integrating batch and streaming workflows.
Does the course cover cluster administration and security?
Configure high availability NameNode setups. Implement Kerberos authentication for HDFS security. Use Ranger/Knox basics for access control. Monitor cluster and job performance using YARN UI and Ambari. Tune Spark executors and MapReduce jobs for optimized performance.
Can this course help me pursue a career in Big Data?
Gain skills to become a Big Data Engineer or Hadoop Administrator. Build end-to-end data pipelines with ingestion, processing, and analytics. Hands-on experience with Spark, Hive, Pig, and Oozie workflows. Learn best practices for cluster management and data security. Prepare for high-paying enterprise-level Big Data roles ($100k–$170k/year).
Will I get hands-on projects and a capstone experience?
Automate daily data ingestion using Sqoop and Flume. Process datasets with Spark, Hive, and Pig. Monitor and tune cluster performance for batch and streaming jobs. Build a complete pipeline for clickstream or IoT data analytics. Produce a portfolio-ready project showcasing end-to-end Big Data skills.

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