Snowflake SQL Course | Meesha Software

Snowflake SQL

  • 24 Hours
  • 3/6 Lectures

Snowflake SQL

  • 24 Hours
  • 3/6 Lectures

Register for this Snowflake training course offered by Meesha Software which will last for three days. You will be taught the Snowflake SQL Course, which is the most all-encompassing form of SQL that can be used with any database. Students may significantly improve their SQL skills by working through the hundreds of examples that make use of Snowflake SQL commands.

Target Audience:

  • Database administrators

Purposes of Instructional Goals:

  • When migrating and moving data to Snowflake, use the Nexus Chameleon to do it.
  • Nexus may be used to interact with the Snowflake database such that SQL commands can be executed, sophisticated analytics can be retrieved, and graphs and charts can be created.
  • Gain familiarity with a broad range of Snowflake's analytic capabilities.
  • When sorting the obtained answer sets, sophisticated Order By techniques should be used.
  • Have a complete understanding of joins and subqueries, and make use of them.
  • Case, Coalesce, and Decode are three methods that should be used to interrogate the data.
  • Has the ability to make full use of all of the many temporary Snowflake alternatives.
  • Develop new table structures and perspectives on the Snowflake system.
  • Make use of the many date functions offered by the Snowflake extension.
  • Utilize aggregation as well as more complex ways of aggregation.
  • Strings must be handled and manipulated carefully.
  • Study and practice writing SQL to become proficient in complex statistical aggregate functions.

Due to the limited availability of this Snowflake SQL Course, it may take up to three weeks to organize the necessary training.

You are going to learn:

Module 1: Basic SQL Functions

  • Introduction
  • Establishing Your Organization's Default Database and Schema
  • SELECT * from a table, which selects all columns.
  • SELECT Certain Columns from Within a Table Should Periods Come Before or After Comma Separators?
  • Put your commas in front of their proper places for improved debugging capabilities.
  • Sort the Data with the ORDER BY Keyword
  • In an order-by statement, you may either use the column name or the column number.
  • Two use of the ORDER BY clause demonstrate two distinct methods
  • Altering the order of things BY to Descending Order NULL Values sort Last in Ascending Mode (Default)
  • Implementation of the Nulls First Command

Module 2: The WHERE Clause Is Covered In this module.

  • The WHERE Clause determines the maximum number of Returning Rows.
  • Single quotation marks are required for character data in the WHERE clause.
  • Using an Alias Column for the Numbers in the WHERE Clause There is no need for single or double quotation marks.
  • Looking for Values That Are Not NULL Employing the Use of Equality Returns Nothing When working with NULLs, use the ISNULL or IS NOT NULL operators.
  • The use of the greater-than-or-equal-to (>=) operator
  • AND in the WHERE Clause of the Statement

Module 3: Distinct, Group By, Top, and Pivot are the Topics Covered.

  • The Distinguished Order
  • Comparing Group By with Distinct
  • Take this quiz to find out how many rows returned from the distinct.
  • How many rows are returned from the Distinct? is the question's answer.
  • FIRST in Command
  • When used with ORDER BY, the TOP command becomes an absolute powerhouse.
  • Examples of the FETCH Clause, Including Tablesamples
  • TOP vs. Sample
  • The Command for Pivoting

Module 4: Temporary Tables will be covered here.

  • Creating a Derived Table
  • Attributing a Name to the Derived Table
  • Changing the Names of the Columns in the Derived Table to Aliases
  • Developing a Derived Table Through the Use of the WITH Command
  • Examples of Derived Queries Obtained Through Three Distinct Approaches
  • The vast majority of derived tables are put to use by joining them with other tables.
  • The Three Elements That Make Up a Derived Table Let's Take a Look at This Derived Table.
  • Our Example of Joining Utilizing the WITH Syntax

Module 5: Sub-query Functions

  • An IN List functions very similarly to a Subquery.
  • An IN List will never include duplicates, just as a subquery would never do so either.
  • Duplicates on an IN List are Ignored.
  • This is the Subquery.
  • The Function of a Simple Subquery
  • These are Equivalent Queries
  • The Completed Answer Set for the Previous Question

 Module 6: Strings UPPER and lower Functions are covered.

  • The Length command is used to count the number of characters.
  • The LENGTH Function Applies to Fixed-Length Columns
  • OCTET LENGTH in addition to LENGTH
  • The TRIM Command reduces the amount of space in both the Leading and Trailing Positions.
  • The RTRIM and LTRIM Commands are responsible for trimming the spaces.
  • Four Concatenations Added Together LPAD and RPAD Concatenation and Substringing Concatenation and Substringing

Module 7: Finding the Cube Root Is the Focus of Module 7's "Interrogating the Data" 

  • Finding the Largest Integer That Is Not Greater Than X Is the Focus of Module 7's "Floor" Finding the Smallest Integer That Is Not Smaller Than X Is the Focus of Module 7's "Ceil
  • Fill in the Correct Answers for the NULLIF Command on the Round Function and Precision Quiz Answer: Fill in the Correct Answers for the NULLIF Command
  • It's under the command of COALESCE.
  • This COALESCE Statement is the Same as the CASE Statement
  • An Illustration Using Rounding When you use CAST, values will be rounded either up or down depending on which direction you choose. Valued Case vs. Searched Case

Course Curriculum

Meesha Software

  • Exp. 4 year

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Course Features
  • 24 Hours
  • 3/6 Lectures
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