
In this section, we are talking about what is a data warehouse? What is the need for a data warehouse?
What is the difference between a data warehouse and a data lake?
Bottom-up and top-down approach of data warehousing project.
OLTP and OLAP transactions
Here we are discussing the detail about different types of facts and dimensions.
Facts:
Additive facts
semi-additive facts
non-additive facts
factless facts
Dimensions:
Slowly changing dimensions
Conformed dimensions
Degenerate dimensions
Junk dimensions
Role-playing dimensions
Normalization and Denormalization in a data warehouse.
Types of normalization
1NF
2NF
3NF
4NF
In this chapter, we are going to talk about constraints in sql
Primarily we are going to talk about primary and foreign keys in sql and why it is needed.
In this chapter, we are going to talk about other constraints
Unique key constraint
Check constraint
Not null constraint
In this chapter, we are going to introduce how to insert the record in the table, and also we will give an understanding of various SQL commands like DDL, DML, DCL, DQL, and TCL.
In this video, we are going to talk about operators and clauses.
Arithmetic operators
Concatenation operator
Comparison operator
IS [NOT] NULL, LIKE, [NOT] IN
[NOT] BETWEEN
Not equal to
NOT - Logical operator
AND - Logical operator
OR - Logical operator
We are going to talk about where clause and order by as well.
In this section, we are going to talk about Single row functions
Single row function -
Character - It accepts the character as an input and returns both character or number values
Number - It accepts numeric and gives output also as numeric
Date - Operates on Date datatype
Character functions
Case manipulation
Lower
Upper
INITCAP
Character manipulation
Concat
substr
length
instr
Lpad | Rpad
Trim
Replace
Number functions
Trunc
Round
Mod
Date functions
months_between
add_months
next_day
last_day
round
trunc
You'll learn how to read and write complex queries to a database using one of the most in-demand skills - Oracle SQL. These skills are also applicable to any other major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, PostgreSQL, and much more.
Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in-demand tech skills! In this course, you'll learn quickly and receive challenges and tests along the way to improve your understanding!
In this course, you will learn everything you need to become a SQL expert! Including:
Get started with SQL
Learn the basics of SQL syntax
Analyzing data using aggregate functions with GROUP BY commands
Running advanced queries with string operations and comparison operations
Set Operators
Subqueries, correlated subqueries
Learn to use logical operators to add logic flow to your SQL queries
Learn common SQL JOIN commands
Learn to create tables and databases with constraints on data entries
and much, much more!
What is a data warehouse?
What is the need for a data warehouse?
What is the difference between a data warehouse and a data lake?
Bottom-up and top-down approach of data warehousing project.
OLTP and OLAP transactions
SQL is one of the most in-demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skillset quickly and add SQL to your resume by joining today!
All the very best!!!