How to Design High-Performance ETL Processes
ETL is a process of extracting data from different sources, transforming it into a readable format, and then stored into one location, a data warehouse. And if you want to know how to design High-performance ETL Processes, then you’re reading the right article.
To make high-performance ETL processes, you should know the proper steps and plan for extraction, transformation, and loading processes. That’s why in this article, we’ve covered in-depth details about ETL processes and the exact steps you need to take for extraction, transformation, and loading processes. But first, you need to understand why it is essential for your business, the ETL Process, and then we’ll discuss the step-by-step process to make high-performance ETL processes.
So, without wasting a second, let’s Begin!
Why Design High-Performance ETL Processes is Essential for Your business?
- With the high-performance ETL processes, data can be copied from numerous files of equal size.
- High-performance ETL processes improve ETL runtimes.
- You can perform several steps in a single transaction using high-performance ETL processes.
- Table maintenance is made easier with high-performance ETL processes.
- Loading data in bulk is easier with high-performance ETL processes.
ETL is a data integration process that combines the data from different sources, stores it in one data storage, and is centralized in one location, a data warehouse.
ETL follows a process for data integration, i.e., Data Extraction, Transformation, and Loading. It’s a three-step process to convert data into a format that can be analyzed quickly. In data analytics, ETL plays a significant role in organizing data in a readable format that helps do an advanced level of analysis on this data to get a better user experience, back-end process, and many more that allow organizations to grow.
ETL Follow three steps process:
In the first step, extract data from different sources.
In the second step, clean the data and improve the quality of data.
In the third step, load the data into a targeted location, i.e., data warehouse.
How to Design High-Performance ETL Processes (Step by Step Process)
Create your High-Level Design Document
For creating a high-level design document, this type of document needs to include:
Deployment Strategy: In your high-level document, you need to define how to deploy your process. It’s imperative to define your strategy in a document.
Identification of your sources: In your high-level documents, you need to mention where you’re bringing the data. And these sources can be three types, i.e., Files, API, and DB’s.
If your source is a file, then you need to know which type of data you’re bringing. It means this data is Partial data or Full data.
If API is your source, then you need to define its limits, authorization, and throttling errors you can face while designing your documents.
Identification of Target System:
You need to identify the target where your data will load and what exactly your target systems are. It helps to define appropriately the location and data you’re loading.
Define the Error Handling Strategy:
This is the main point you need to describe because, in this part, you need to define – if you’re facing any error in ETL Process, how will you handle it? You need to clearly explain all steps and solutions to handle that error in your high level document.
This time, you need to describe a complete step-by-step process to do auditing. It will be more helpful if you add more details like – you can clearly describe the number of records you’re getting from sources and the number of records you’re loading in target, i.e., data warehouse.
So, if you follow this process, you can create a High-level document quickly that describes your complete ETL process in a very readable manner.
What is a low-level design document?
Now we will discuss another type of design document, i.e., a low-level design document
Low-level design document
If we talk about Low-level design documents, you can target mapping documents by creating sources in this type of document.
Target mapping documents means
you can clearly define the exact value in the target system, i.e., data warehouse. And also, define how you can map these values from sources because each object in the target system has its sources to target mapping documents.
And that’s why mapping documents contain so much information about fields, business logic, transformation logic, and default values.
Each document comes with so much information like:
Q – What are the mandatory fields?
Q – What are the default values?
Q – Is that field nullable or not?
Q – What are the transformation logics for each attribute?
And if you don’t know about transformation logic, let me tell you with an example:
In the source system, suppose you consider two values, i.e., males & females, and your work is to convert M for males and F for females.
It is the easiest way to define transformation logics in your source to mapping documents.
In this process, you need to provide additional details about the lookups and the types of lookups you’re using. It’s crucial to describe these lookups because it has a direct impact on your ETL designs. These lookups show too many relationships or many too many relationships. These lookups you need to take care of while designing your source to target mapping documents.
We hope after reading this article, you’re clear on how to create high-performance ETL processes. In this article, we’ve in-depth details about ETL processes and the step-by-step process you need to follow to make it.
And if you want to create high-performance ETL processes, you need to follow this exact method step by step. Follow us and drop your comment – if you have any queries? If you like our post, please share it with others.