What is ETL Software?
ETL Software derives its name from the computer data handling process of Extract, Transform, and Load. It refers to the general process of extracting data from external sources, transforming it to a specific use and finally loading it to a database or data warehouse.
The ETL process helps in blending data from a variety of sources into a database for improved data processing.
ETL software extracts different types of data from multiple sources and converts it to the proper storage formats or structures. This makes it ready for querying and analyzing before it is stored in the database.
Therefore, organizations often employ ETL software to handle some of their most challenging data integration issues.
What are the Advantages of ETL Software?
- ETL software simplifies data management, which improves the performance of databases and data warehousing
- ETL software helps standardize data collected from multiple channels within the organization such as Sales, CRM, Accounts, and even Social channels
- ETL software facilitates the organization and collation of business intelligence, which supports organization decision making
- Organizations can efficiently address some of the most challenging data integration issues
What are the Benefits of ETL Software?
- ETL software provides organizations with efficient tools for analyzing, structuring, and cleaning data
- ETL software ensures that organizes always end up with perfectly formatted data throughout the ETL process
- Easy and cost-effective implementation of ETL software, including minimal impact on the source systems
- Organizations save time with ETL tools when building data warehouses rather than the engage in the laborious and error-prone manual methods of creating integration mappings
What are the Features of ETL Software?
- Enhanced business intelligence through support for various data stores, business intelligence platforms, and databases.
- Support for all types of data formats and different data flows through many built-in data connectors
- Easy to use drag and drop process designers for users to develop their own models, including support for team development
- Migration of data between databases or individual applications
- Support for metadata management, including data profiling and cleansing capabilities
What are the Disadvantages of ETL Software?
- In and of themselves, ETL software applications are not enough for the modern business environment. Business have to also look beyond the traditional ETL steps to meet their data management needs
- Processing of large amounts of data may be time-consuming and resource intensive
- The cost of using the software may deter organizations from deploying the exact ETL application they require
What are the Trends of ETL Software?
- There’s a steady increase in the amount and types of data sources, both from internal and external sources, including unstructured data, and social media. This compels organizations to prioritize data integration and look beyond the traditional ETL process
- ETL software providers now aim to provide tools that allow to shift seamlessly between real-time, streaming, and batch modes.
What are the Best Practices in ETL Software?
- ETL runtimes can be quite long depending on the volume of data. Users should employ workload management to ensure efficiency
- Use of daily diagnostic queries will give a picture of ETL health on a continuous basis
- Users of ETL tools should understand the data sources, when it loaded and the transformation. This is important for understanding the integrity of the data downstream