In computing, the data warehouse is defined as a digital storage or database management system that connects data from various sources to feed Business intelligence, reporting, and analytics.
It is a central repository system of information that can be analyzed to make more informed decisions. Data warehousing is often termed Enterprise data warehousing.
The acronym in ETL Services is used for three data integration processes: Extract, Transform, and Load.
ETL data warehousing is a data integration process that combines a large amount of data from different sources into a single, consistent data storage loaded into the data warehouse or target system.
Why Do We Need ETL Data Warehousing?
ETL data warehousing is essential for businesses in modern times. There are several advantages of ETL data warehousing in business.
Data Extraction
A business process like sales and marketing needs refined data from raw data. The extraction of relevant data from possible sources is essential for business sales. That is why ETL data warehousing comes into the picture. It allows us to extract meaningful data from different sources and help us understand customer behavior, tastes, flavor, and interest.
Reporting & Analytics
Once the data is prepared and optimized, they are ready for reporting and analysis. The data represented in the visual form are far more readable than just columns and rows of the table. Charts, graphs, and pictorial representations help us understand the data efficiently. We can use ETL reporting tools to prepare reports for any size and composition business process.
Business Intelligence
A combination of business analytics, data mining, data visualization, data tools, and infrastructure that helps businesses make data-driven decisions is called business intelligence. ETL tools help enterprise owners or entrepreneurs make quick and intelligent decisions supported by data.
Understanding ETL process
Data from different sources like SQL RDBMS, NoSQL DBMS, SaaS Platforms, and XML files are extracted in a staging area where they are transformed and loaded into the data warehouse. These data are then analyzed using ETL reporting and analysis tools to prepare a visual representation of data in bar graphs, line charts, pie charts, etc. There are three processes involved in ETL data warehousing they are as follows:-
Extract
In this process, data is retrieved and verified from different data sources. These sources could be SQL, Oracle database, MS Access database, and SaaS platforms. The data from different sources are collected and stored in a single consistent storage system known as a Staging area.
Transform
The data in the staging area is now transformed and loaded for data warehousing in this phase. Data stored in the staging area is processed and transformed into meaningful and usable data.
Load
In this ETL data warehousing architecture phase, the transformed data is moved to a data repository. Here it is loaded in the ETL data analytics and report tools that can convert these meaningful data into a visual representation for business analytics and reporting.
Advantages of ETL data warehousing
- Improves quality of data: – ETL data warehousing tools help us improve the data quality. ETL tools help us to analyze data properly, which helps us to boost sales and marketing performance.
- Better insights: – Data analysis in business is essential. It helps to geo-target our customers and explore their interests or customer behavior for making powerful marketing strategies to boost sales of the company.
- Boost efficiency: – Enterprise owners can make data-driven decisions effectively using better business analytics. Business intelligent ETL tools allow us to boost the efficiency of employees working in the company.
- Precise data: – The précised data allow us to use meaningful data for the right purpose. The data extraction, data transformation, and data loading process of the ETL data warehouse allow us to prepare precise data.
Different types of ETL tools support ETL data warehousing. ETL tools are classified into Open source ETL tools, Batch processing ETL tools, Cloud-based ETL tools, and Real-time ETL tools. These tools are used for various purposes and have a specific function.
We can benefit the business in many ways with real-time ETL data integration tools. It allows business owners to make quick and rational business decisions supported by intelligent data. The quality of data can be improved using ETL data warehousing tools.
Having the relevant data, we can keep an eye on the competitors and understand the business analytics better with visual representations like graphs, charts, and pictographs. There are many enterprise data warehousing companies across the globe, and selecting the right one is essential for business growth.
ETL data warehousing helps us in the reporting and analysis of business data. We can easily prepare reports for business processes or units using ETL reporting tools.
