This course explores advanced SQL querying and data architecture, focusing on optimizing databases for scalability and performance in contemporary data environments.
Data Minning, Relational Database, SQL, Advance SQL Course
· Introduction to Data and Database Management
o Data and its Significance, Types of Data: Structured, Semi-Structured, and Unstructured
o Overview of Data Architecture, Data Management, Data Lifecycle
o Data Governance and Stewardship
· Relational Databases
o Understanding Relational Databases
o Normalization and Denormalization
o Entity-Relationship Diagrams (ERD)
· Big Data and Hadoop Ecosystem
o Definition and Characteristics of Big Data Basics
o Introduction to Hadoop Ecosystem
o MapReduce Programming Model
· Data Warehousing
o Introduction to Data Warehousing, Data Marts vs. Data Warehouses
o Dimensional Modeling, Extract, Transform, Load (ETL) Processes
· Introduction to SQL
o Overview of MySQL, Installation and Setup
o Basics of SQL Syntax, Data Types
· SQL Querying and Operations
o Using Operators for Comparisons and Calculations, Aggregate Functions
o Subqueries, Relationships between Tables
o JOIN Operations (INNER, LEFT, RIGHT, FULL)
· Advanced SQL Techniques
o Common Table Expressions (CTEs) , Recursive SQL Queries
o Lead and Lag Functions, Partition By
o Advanced Functions like First_Value(), Last_Value(), Ntile()
· Data Manipulation with SQL
o OFFSET and FETCH Clauses for Result Pagination
o Aggregation Using GROUP_CONCAT, STRING_AGG, LISTAGG Functions
o Transforming Data with Unpivoting and Pivoting Techniques
o Insert, Update, or Delete in a Single Statement
· Stored Procedures in SQL
o Introduction & Benefits of Stored Procedures
o Creating, Executing, Modifying, Dropping Stored Procedures
o Input–Output and Optional Parameters
o System Defined & User Defined Stored Procedures
· Introduction to Data Mining
o Importance & Overview of Data Mining
o Data Mining Process: Exploration, Preprocessing, Model Building, Evaluation
o Association Rule Mining, Classification, Clustering, and Regression
· Working with XML Data
o Basics of XML Data Type in SQL
o Handling XML Data: Parsing, Querying, and Manipulating XML in SQL
· Interview Questions & Resume ready projects on SQL
Go to homepage
.jpeg)
