{"id":2071,"date":"2020-05-22T12:28:42","date_gmt":"2020-05-22T16:28:42","guid":{"rendered":"https:\/\/solutionsreview.com\/data-integration\/?p=2071"},"modified":"2020-05-22T17:00:28","modified_gmt":"2020-05-22T21:00:28","slug":"a-data-integration-guide-to-data-replication-and-change-data-capture","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-integration\/a-data-integration-guide-to-data-replication-and-change-data-capture\/","title":{"rendered":"A Data Integration Guide to Data Replication and Change Data Capture"},"content":{"rendered":"

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The editors at Solutions Review have developed this brief data integration guide to data replication and change data capture that outlines the key factors in database integration tools.<\/strong><\/em><\/p>\n

There are many ways to integrate data from a targeted source. Data integration tools<\/a> have long been the workhorses behind data movement to and from databases, applications, and the cloud. The type of integration tool you’ll need depends largely upon where the data sits at any given moment and where you’d like it to wind up. An in-between stage also takes precedent, as data manipulation \u2014 cleansing, wrangling, blending, transforming \u2014 are all processes to be done under the hood, depending on your specific use case.<\/p>\n

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We’ve outlined four data delivery styles<\/a> in which integration software tends to perform, but it’s worthwhile to dig a bit deeper and really iron out the keys that make these capabilities tick. Data replication is one of these vital integration processes. In traditional settings, extract, transform and load (ETL) solutions were utilized to bring data together in one place. Use cases are increasingly being shifted to incorporate more data and these tools aren’t able to keep pace. It is much easier to replicate an entire database as it’s being filled with new information than it is to run a continual stream of data from one place to another while manipulating it on the fly.<\/p>\n

Replicating data is a pseudo-integration technique that enables all the users in an organization to gain access to the same data. This is done by software that generates copies of a database in one server and transmits it to another. What replication aims to do is effectively turn all of an organization’s databases into one so that a unified view of the data can be viewed in different locations. The end result is removal of incomplete or non-quality data.<\/p>\n

There are three main types of replication:<\/p>\n