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124124https://github.com/user-attachments/assets/56308a58-cf72-4f0f-bf3e-e9e1669fa0df
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126- 2 . ** Create Dataflows or Pipelines** : Use Data Factory to create dataflows or pipelines that ingest data into the Bronze lakehouse.
127- - In Data Factory, create a new pipeline.
128- - Add activities to the pipeline to ingest data from the identified sources.
129126
130- > Image you want to extract data from your ` sql database `
131-
132- <img width =" 550 " alt =" image " src =" https://github.com/user-attachments/assets/1b186362-8041-4bd7-b797-ea2061d80b63 " >
127+ > Image you want to extract data from your ` sql database `
133128
134- > Sample table:
135-
136- ``` sql
137- CREATE TABLE dbo .Employees (
138- EmployeeID INT PRIMARY KEY ,
139- FirstName VARCHAR (50 ),
140- LastName VARCHAR (50 ),
141- BirthDate DATE ,
142- HireDate DATE ,
143- JobTitle VARCHAR (50 ),
144- Salary DECIMAL (10 , 4 )
145- );
146-
147- INSERT INTO dbo .Employees (EmployeeID, FirstName, LastName, BirthDate, HireDate, JobTitle, Salary)
148- VALUES
149- (1 , ' John' , ' Doe' , ' 1985-11-15' , ' 2010-03-10' , ' Software Engineer' , 75000 .0000 ),
150- (2 , ' Jane' , ' Smith' , ' 1990-05-22' , ' 2012-07-18' , ' Project Manager' , 85000 .0000 ),
151- (3 , ' Emily' , ' Jones' , ' 1988-04-17' , ' 2014-06-25' , ' Data Analyst' , 65000 .0000 ),
152- (4 , ' Michael' , ' Brown' , ' 1982-06-21' , ' 2008-09-15' , ' HR Specialist' , 55000 .0000 ),
153- (5 , ' Sarah' , ' Davis' , ' 1995-09-30' , ' 2020-11-20' , ' Marketing Specialist' , 60000 .0000 );
154- ```
129+ <img width =" 550 " alt =" image " src =" https://github.com/user-attachments/assets/1b186362-8041-4bd7-b797-ea2061d80b63 " >
155130
131+ > [ !NOTE]
132+ > In case you don't have any data at the moment, please follow this video to create a sample:
133+
134+ ``` sql
135+ CREATE TABLE dbo .Employees (
136+ EmployeeID INT PRIMARY KEY ,
137+ FirstName VARCHAR (50 ),
138+ LastName VARCHAR (50 ),
139+ BirthDate DATE ,
140+ HireDate DATE ,
141+ JobTitle VARCHAR (50 ),
142+ Salary DECIMAL (10 , 4 )
143+ );
144+
145+ INSERT INTO dbo .Employees (EmployeeID, FirstName, LastName, BirthDate, HireDate, JobTitle, Salary)
146+ VALUES
147+ (1 , ' John' , ' Doe' , ' 1985-11-15' , ' 2010-03-10' , ' Software Engineer' , 75000 .0000 ),
148+ (2 , ' Jane' , ' Smith' , ' 1990-05-22' , ' 2012-07-18' , ' Project Manager' , 85000 .0000 ),
149+ (3 , ' Emily' , ' Jones' , ' 1988-04-17' , ' 2014-06-25' , ' Data Analyst' , 65000 .0000 ),
150+ (4 , ' Michael' , ' Brown' , ' 1982-06-21' , ' 2008-09-15' , ' HR Specialist' , 55000 .0000 ),
151+ (5 , ' Sarah' , ' Davis' , ' 1995-09-30' , ' 2020-11-20' , ' Marketing Specialist' , 60000 .0000 );
152+ ```
153+
154+ https://github.com/user-attachments/assets/357184bf-cc49-4311-84d4-6369514b3366
156155
156+ 2 . ** Create Dataflows or Pipelines** : Use Data Factory to create dataflows or pipelines that ingest data into the Bronze lakehouse.
157+ - In Data Factory, create a new pipeline.
158+ - Add activities to the pipeline to ingest data from the identified sources.
157159 - ** Configure Data Ingestion** : Set up the data ingestion process to load data into the Bronze layer in its raw format.
158160 - Configure the source and destination settings in the pipeline activities.
159161 - Ensure the data is being ingested into the ` raw_Bronze ` lakehouse.
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