Awesome awesome.
I'm so glad you completed the previous sections I truly appreciate your hard work and commitment here.
In this section we are going to talk about data management.
Let's take a quick look at the exam guide so data management does right here and the way to just 10
percent so off the total of 60 questions you can expect around the six questions from the section and
here in the section the description talks about the best practices for improving and enriching data
quality.
And in that do they mention validation rules duplicates management enriching and archiving.
Cool.
Let's take a quick look at our Udemy course data management.
I have actually split that into six different sections.
As you can see here this is for ease of understanding and also for extensively covering the concepts.
First is the overview section in that we'll talk about the radius data management tools that are available
and how to use the import wizard and how to use the Apex a data loader and then we'll talk about the
various as a proactive measures for maintaining good data quality in the system.
In that we are going to talk about other data entry standards using validation rules then using duplicate
rules using man matching rules or do all the various proactive measures.
Basically the next section talks about the reactive measures so how to merge.
COLLINS How do merge contacts how to merge leads.
How do Moore's delete records and then followed by the best practices that we need to follow while handling
data in our system.
And then we have a whole big section for data enrichment to order all the various ways for enriching
data in the system and then we have a whole big section for data archival as well.
What are all the various tools and options that are available for us for archiving data in our system.
So these are all the various concepts that we have covered for this particular section data management
happy learning.