To enable reporting and analytics for business intelligence programs, enterprises gather and aggregate data from a variety of internal systems and external sources including CRM and ERP applications, web services, and connected devices. An ETL tool is used to consolidate and transform multi-sourced data into a common format and load the transformed data into an easy-to-access storage environment such as a data warehouse or data mart. The "ETL" in ETL tool refers to the processes of:

  • Extracting or retrieving data from homogenous or heterogeneous data sources
  • Transforming or cleansing, filtering, and reformatting data to make it usable by different systems or applications
  • Loading transformed data into a target database, data warehouse, data mart, or other type of analytical repository

Using an ETL Tool for Data Warehousing

Many companies have traditionally used an ETL tool to build and maintain the data warehouse. Leveraging an ETL solution enables you to write code to execute ETL tasks for mapping data elements, identifying and controlling dependencies between components, scheduling jobs, and managing data flows, via a graphical user interface.

Depending on the particular data integration solution used, an ETL tool may offer the added benefits of structured system design, team-based development capabilities, and pre-built connectors optimized for a wide range of data sources and targets.

Better Than an ETL Tool: Data Warehouse Automation

Building and maintaining a data warehouse can require hundreds or thousands of ETL tool programs. As a result, building data warehouses with an ETL tool can be time-consuming, cumbersome, and error-prone — introducing delays and unnecessary risk into BI projects that require the most up-to-date data, and the agility to react quickly to changing business demands. Purpose-built for data architects, Attunity Compose is an agile data warehouse automation and transformation platform that eliminates the need for conventional ETL tools by automating repetitive, labor-intensive tasks associated with ETL integration and data warehousing.

Attunity Compose enables ETL automation—freeing you from error-prone manual coding—and it automates the entire data warehousing lifecycle from design and development to impact analysis and change management. Our solution automatically generates the ETL commands, data warehouse structures, and documentation necessary for designing, building, and maintaining your data warehouse program, helping you save time, reduce cost, and reduce project risk.

Moreover, through seamless integration with Attunity Replicate, our real-time event capture and data integration solution, our platform enables real-time ETL by combining real-time source data integration with automated ETL generation—and supports the widest ecosystem of heterogeneous data sources including relational, legacy, and NoSQL data stores.

Additionally, Attunity Compose enables real-time data warehousing that can be deployed on Amazon Redshift. With our integrated Attunity Replicate solution, enterprises can relay incremental source updates with continuous change data capture technology to deliver real-time analytics in the Cloud.

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