Data Integration Tools: In-depth Guide [2018 edition]

Data integration refers to the processes for taking data from different sources and making it usableThere are four broad subcategories of data integration that each have their own specific tools:

  1. Data warehousing
  2. Data migration
  3. Enterprise Application Integration
  4. Master Data Management

For a more comprehensive look at the topics above, be sure to check out our data integration blog

In this article, you can find out more about these different categories and browse over 40 vendors across them.

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Data Integration: In-depth Guide [2018 update]

To achieve a unified view of data that is sourced from different locations and formats, it is necessary to have an established data integration solution. This can also include occasions when two companies are merging or in the consolidation of internal applications. Data integration can also be beneficial in the creation of a better and more comprehensive data warehouse; ultimately leading to a more accurate and effective analysis.

Data integration is the process of taking data from many disparate sources and making it usable. As the number of sources continues to grow, the need for effective data integration also continues to grow in importance. There are a number of benefits associated with an effective data integration solution. Some of these include:

  • A single and reliable version of truth that is synced and accessible across locations
  • An enhanced capacity for analysis, forecasting, and decision making based on accurate data
  • A fully comprehensive view of an organization and its customers
  • Data availability throughout a business and its stakeholders

Ultimately, data integration lays  the foundation for effective Business Intelligence (BI) and the effective decision making it enables.

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Understanding ETL Tools

ETL, or Extract, Transform, Load is the process of integrating data from multiple applications (systems), converting them to a single format or structure and then loading the data into the target, often a data warehouse. This process is essential for data analysis, business intelligence, and other related tasks – particularly in businesses with a wide range of data sources and formats to consider.

Selecting the right tool to do so is integral to ensuring the success of not only the specific action, but also for the overall goals and efforts of the business. To learn more about ETL and get a better understanding of how businesses use it, visit our ETL blog post.

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ETL: Preparing Data for Analysis

ETL is one key processes needed to extract value out of data. Data can then be used for a wide range of analysis, intelligence, and reporting functions. For industries that manage large amounts of data, often from disparate sources, ETL can be impactful.

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