![]() ![]() If you need to set up something that occurs at a periodic interval (e.g.However, everyone knows that change happens: The schema of your database changes, Salesforce or Redshift have new updates/APIs, users want different data – and every change requires you to make adjustments to your integrations. If a one-off project, it can be quicker to find ways to manually dump and load data between systems.Is this a one-off or recurring project, and how likely does change occur? When working with large (big data) or complex data types like EDI or COBOL, your transformations can become process-intensive which will also impact where you run your data processing.ģ. Data sorting, deduplication, splitting and aggregation are other tasks. There may be content validation or enrichment that occurs to ensure the data being imported has the proper syntax and semantics. Moving data between systems often involves some type of transformation.You need to decide the format of the data sent between the two systems: CSV, XML and JSON are popular data formats.Ģ.Relational databases and data warehouses also support native and JDBC drivers for better performance in some scenarios. On-premises and Software-as-a-Service (SaaS) applications and databases typically have standard APIs and REST APIs to access data in the system. ![]() For one-time or daily updates, batch can work, but for real-time information sharing requirements, you may need a message queuing system.
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