![]() Since the Semi-structured data that is used here is of the JSON format. Create File Format with data type JSON.Create a stage “DB_NAME”.”SCHEMA_NAME”.”STAGE_NAME”.We must create a stage to store our data to be analysed. Regardless of the data stored internally or externally, the location where the data stored is known as ‘Stage’. Login to your Snowflake and create a database and schema either using GUI or query. The JSON file that contains the data can be loaded in Snowflake storage using the following steps: The data stored can then be loaded to Tableau for further analysis. The Semi-structured data can be loaded as a variant type which is stored as separate physical columns in Snowflake. ![]() Based on which we could import and operate on Semi-structured data.Ī variant in Snowflake can store values of any data type up to a compressed size of 16MB including objects and array. The following data types: Variant, Object and Array are used to signify arbitrary data structures. The support for Semi-structured data that includes flexible-schema data types for loading the data without transformations is provided by Snowflake. How Semi-structured data is stored in Snowflake? The loaded data can be accessed from Tableau using Custom SQL options for visualizing purposes. Snowflake provides options to load Semi-structured data like JSON, Avro, Parquet etc using Variant type. Semi-structured data support the users who cannot define their needs in the structured query language like SQL etc. Moreover, an XML file is widely used to store and exchange Semi-structured data and allows the user to define tags and attributes to store the data in a hierarchical form. Therefore, it becomes important to efficiently load data that is used for analysis.Ĭonsidering the role of Semi-structured data, it can easily deal with the heterogeneity of sources and the data is portable. This is because the value of information being derived from data provides more insights, and these insights help businesses make informed decisions. Nowadays the amount of Semi-structured data used is significantly higher compared to the previous decade. News – Check out our most recent news, key announcements & Press releases.Innovation Lab – The Innovation Lab is built with an aim to create market-ready BI & Analytic solutions.Careers – Explore intellectually rewarding careers in the field of Business Intelligence & Analytics.About Visual BI – We make the best in BI possible through our passion and commitment to innovation.Events – Check out events hosted and attended by Visual BI Solutions.Webinars – Get latest updates on our webinar schedules & register to learn from our experts. ![]()
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