Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. Hevo is fully-managed and completely automates the process of not only loading data from your desired source but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Hevo Data, a No-code Data Pipeline helps to integrate data from JIRA along with various other free sources and load it in a Data Warehouse of your choice to visualize it in your desired BI tool. MongoDB is known for its scalability, ease of use, reliability & no compulsion to use a fixed schema among all stored documents, giving them the ability to have varying fields (columns).įor further information on MongoDB, you can check the official site here. These documents are stored in collections, analogous to how tables work in relational databases. MongoDB stores its data as objects which are commonly identified as documents. It makes use of collections (tables) each having multiple documents (records) & allows the user to store data in a non-relational format. It is a high-performance document-oriented database that is powered by a NoSQL structure. It even supports a Scrumban (Hybrid of Kanban and Scrum) methodologies to create boards.įor further information on JIRA, you can check the official site here. JIRA is fundamentally based on the Agile model of development and immediately asks users to define the project type as Scrum or Kanban, whenever a new project is created.
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