Top 4 Data Integration Tools for Modern Enterprises
Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises.
By Ammar Ali, Technical Content Strategist, Astera Software
Image by Gerd Altmann from Pixabay. Image source
In today’s digitized age, enterprises don’t lack data. But the structure and quality of that data decides its usefulness and value. Data integration has been a real game-changer for organizations, enabling them to derive meaningful insights — faster than ever.
It comprises of a series of complex tasks that starts with ingestion from different source systems. The extracted data is transformed into a desired structure or format and loaded into a target destination.
Simply stated, it is the process of combining data from disparate sources into a single dataset to provide a unified view to business users.
Previously, organizations relied on manual data integration that was labor-intensive and time-consuming. However, as the data they produced rapidly multiplied, they moved towards modern data integration solutions.
Here are some stats to give you a perspective:
- Over 80% of enterprise leaders find data integration critical to ongoing operations.
- 67% of businesses rely on data integration to support their analytics and BI platforms.
- By 2027, the global market value of enterprise data integration is anticipated to reach USD 3843.4 million.
Image by Buffik from Pixabay. Image source
Integrate Data with Advanced Data Integration Tools
Modern enterprises deal with massive volumes of data, so it only makes sense to go for an advanced solution that can match the speed of their business. A code-free, reliable tool is imperative for a streamlined and simplified data integration process.
The following four data integration tools are among the best solutions for modern enterprises to create a data repository that serves as a single source of truth to enable BI initiatives.
1. Astera Centerprise
Astera Centerprise is one of the leading data integration tools available in the market. It’s an enterprise-grade, end-to-end solution that allows you to seamlessly integrate, cleanse, and transform data.
The unified platform comes with an extensive library of pre-built transformations and a vast selection of connectors to support enterprise-level ETL processes.
Astera Centerprise is a truly platform-agnostic solution that can be quickly deployed on-premises or in the cloud.
Equipped with advanced features, the solution offers a drag-and-drop, code-free mapping environment to perform data integration tasks with agility and ease.
Alteryx is another data integration tool that allows organizations to access data from different sources, including documents, spreadsheets, cloud sources, etc.
It is a self-service platform that helps businesses collaborate across departments and keeps their assets governed and organized.
Domo is a data integration tool that allows organizations to combine disparate datasets and orchestrate data pipelines. It comes with extensive data transformation capabilities.
Users can create advanced transformations with SQL scripts and deploy custom scripts into their data science pipeline with R or Python.
Fivetran is the final pick of the list. It’s a data integration tool that supports SQL-based, in-warehouse transformations. It’s compatible with all modern data destinations.
The solution can transform and normalize schemas from denormalized APIs to make data immediately useable for business users.
The availability of accurate and reliable data on time facilitates informed decision-making, thus multiplying the chances of success for modern enterprises. Choosing the right data integration tool is critical to creating a centralized data repository that provides a consistent and unified view of enterprise-wide data.
Most organizations aim to empower business users by providing them with modern tools to choose their own analytics and BI journey.
Bio: Ammar Ali is a technology writer, editor, and researcher for Astera Software. He’s passionate about Data Science and strives to educate readers about modern Data Management solutions and business intelligence tools. He works closely with development teams to design innovative strategic solutions for solving business problems.
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