data morphing

7/18/2019 Data Morphing

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DATA MORPHING BASICS



Data Morphing Basics



Basic concepts

EasyMorph operates with tables (every table consists

of one or more named columns)

Any operation with table data is a transformation (e.g.

Filter, Sort or Rename Columns) Transformation steps of a table are executed one

after another – order mattersTransformation

steps



Output (result) of a transformation automatically

becomes an input for the next transformation. No

additional mapping or “connecting dots” required.

Transformation inputs and outputs

Start transformation

creates table

Aggregate Rename

columns

Sort Enumerate

rows

Trim table



Transformations that create a table

Tables are created by special transformations

Click Import Create table to see all available

transformations that create table

Transformations that

create a table Transformations that

change an existing

table



Viewing transformation results

EasyMorph stores intermediate results (outputs) of

every transformation

Click any transformation to see its output (run project

if it has uncalculated transformations)

Dotted line indicates the

transformation which

output is displayed

The same table, but

different transformations

selected.

Notice different data in

the data grid.



Final state of a table

The result of the last transformation in a table is the

final state (output) of the table

To see the final state of a table just click its last

transformation

Output of the lasttransformation is the final state

of the table



Two-table transformations

Some transformations (e.g. Append or Blend In)

operate with two tables. They take previous state of

the current table and the final state of the other table

as inputs.

Blend In takes output of Derive Table

in this table and output of Aggregate

in the other table as inputs

Dotted line shows the

other table used in a two-

table transformation



Derived tables

Derive Table transformation creates a new table and

links it to the final state of another table. It’s basically

an “alias” (or “view” or “resident table”)

Any table can have unlimited number of derivedtables.

Derived tables update automatically if the originating

table changes.

Re-link derived table to a different table, if needed.



Derived tables (example)

Derive Table

transformation



Why use derived tables?

Branch calculation logic, e.g.:

– Calculate various aggregates based on the same detailed

data

–Break a table (e.g. an Excel report) into smaller sub-tables

– Data quality checks

Logically group transformations

Arrange self-joins

Master derived tables to unleash full potential of

EasyMorph!



Export transformations

To export data use export transformations

Export transformations can be inserted

anywhere just like any other transformation Export transformations don’t change data



Organizing your EasyMorph project



Tabs

Move tables to another tabs (sheets)

– It reduces clutter

– You can logically group tables, e.g. move all mappings to a

separate tab Tabs don’t change the order of calculation

These icons indicate

tables on another tabs.

Click the icons to go to

the respective tables.



Split and merge transformations

Right-click a transformation to split after it

The reverse operation – merge derived table

BEFORE

AFTER



Hints & tips

Use Rule transformation for multiple nested

IF/THEN/ELSE conditions instead of expressions

Clone table to create a table with exactly the same

set of transformations Search a field name in auto-generated documentation

to find all transformations that use this field



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