Table of Contents
- 1 Which transformation converts rows to columns?
- 2 How do I pivot data in Informatica?
- 3 How do you convert multiple rows into a single column with Comma Separated Values in Informatica?
- 4 What is union transformation in Informatica?
- 5 How to get the value of a column in a table?
- 6 What is the difference between column names and value in Excel?
Which transformation converts rows to columns?
Transpose (rotate) data from rows to columns or vice versa.
How do I pivot data in Informatica?
To pivot the data:
- Select the city column as the group by row.
- Select the month column as the pivot column.
- Select single_family as the calculated column, and then select AVERAGE as the calculation to perform on the column values.
What does normalizer do in Informatica?
The Normalizer transformation is an active transformation that transforms one incoming row into multiple output rows. When the Normalizer transformation receives a row that contains multiple-occurring data, it returns a row for each instance of the multiple-occurring data.
Can we convert rows to columns using normalizer?
Normalizer is an active transformation, used to convert a single row into multiple rows and vice versa. It is a smart way of representing your data in more organized manner. In this case, the class score column is repeating in four columns….Normalizer Transformation in Informatica with EXAMPLE.
Store Name | Quarter | Sales |
---|---|---|
DELHI | 1 | 150 |
DELHI | 2 | 240 |
DELHI | 3 | 455 |
DELHI | 4 | 100 |
How do you convert multiple rows into a single column with Comma Separated Values in Informatica?
Solution:
- Create a new mapping.
- Drag the source into the mapping.
- Create an expression transformation.
- Drag the ports of source qualifier into the expression transformation.
- Create the below additional ports in the expression transformation and assign the corresponding expressions:
What is union transformation in Informatica?
The Union transformation is an active transformation that you use to merge data from multiple pipelines into a single pipeline. It concurrently reads the sources connected to the Union transformation and pushes blocks of data into the input groups of the transformation.
How do I create a pivot table in SQL?
You follow these steps to make a query a pivot table:
- First, select a base dataset for pivoting.
- Second, create a temporary result by using a derived table or common table expression (CTE)
- Third, apply the PIVOT operator.
Why we use pushdown optimization in Informatica?
Pushdown Optimization is use to increase data processing performance extremely. Always processing data on database level is faster than processing data in Informatica level. Pushdown Optimization is a concept of push Informatica transformation logic on source or target when they are database table.
How to get the value of a column in a table?
Set up a function which grabs the column name which contains the value (from ts): def get_col_name (row): b = (df.ix [row.name] == row [‘value’]) return b.index [b.argmax ()] for each row, test which elements equal the value, and extract column name of a True. And apply it (row-wise):
What is the difference between column names and value in Excel?
Column Names is my 1st Row of Excel Sheet . value is the row Which have Y as cell value . My Input is only Stack Overflow About Products
How to view the column names of a table in SQL?
You can view the column names by selecting from the information_schema.columns table. However, to implement the logic you are requesting can be done using a CASE statement in SQL. Assuming the table name is table1, try the following query:
How to access the value in a column in a datarow?
You can access the value in a column in a DataRow object using row [“ColumnName\\: