Name: Data Platform Architecture
Uploaded: 2023-05-24
Duration: 1 min 33 s
Description: Hello students ,Today we are going to exploring about Data platform Architecture..

[Audio] Hello students ,Today we are going to exploring about Data platform Architecture.. 

Scene 1

Here 39 s what a customer data platform can do for marketers Salesforce Australia amp NZ Blog

hts
Visualization
Business
Intelligence
(81)
escriptive Predictive
Analytics Analytics Analytics
Architecture
MDM / Data
[10S Integrati

[Audio] Here are the objectives behind of these data platform architecture .
1.To understand the type of data modeling .
2. To understand the Layer in Data Platform Architecture. 3. To understand what is the conceptual model. 4. To understand what is the data modeling.
5. To understand what is the physical model.. 

Scene 2

• To understand the type of data modeling  • To understand the Layer in Data Platform Architecture.  • To understand the conceptual model.  • To understand the physical model • To understand the data modeling.

[Audio] At the end of the module, you will be able,
To understand the type of data modeling .
To understand the Layer in Data Platform Architecture. To understand the conceptual model. To understand the data modeling. To understand the physical model. 

Scene 3

[Audio] Lets, firstly learn that what is data modelling. Data modeling is the process of creating a data model for the data to be stored in a database. This data model is a conceptual representation of Data objects, the associations between different data objects, and the rules. Data modeling helps in the visual representation of data and enforces business rules, regulatory compliances, and government policies on the data.. 

Scene 4

Data modeling (data modeling) is the process of creating a data model for the data to be stored in a database. This data model is a conceptual representation of Data objects, the associations between different data objects, and the rules. Data modeling helps in the visual representation of data and enforces business rules, regulatory compliances, and government policies on the data. Data Models ensure consistency in naming conventions, default values, semantics, security while ensuring quality of the data.

Evaluate
Input Data
ionnonnon
0110110101110
1011011011011
Training Data
Tran the
Machine Learning
Algorithm
Model
Machine Learning
Algorithm
Prediction

Data Platform Architecture


Hello students ,Today we are going to exploring about Data platform Architecture.

avatar

Here are the objectives behind of these data platform architecture .

1.To understand the type of data modeling .

To understand the Layer in Data Platform Architecture

To understand  what is the conceptual model

To understand what is the physical model.

At the end of the module, you will be able,

To understand the type of data modeling .

Lets, firstly learn that what is data modelling

Data modeling  is the process of creating a data model for the data to be stored in a database

This data model is a conceptual representation of Data objects, the associations between different data objects, and the rules

Data modeling helps in the visual representation of data and enforces business rules, regulatory compliances, and government policies on the data.

Data Platform Architecture

Scene 1 (0s)

Scene 2 (7s)

Scene 3 (39s)

Scene 4 (1m 1s)