Converting XML and JSON to a Data Lake
Uli Bethke
Data lakes are a popular design pattern in data analytics. A data lake is used to store a copy of data coming from operational source systems such as relational databases. You can choose from dozens of tools to populate a data lake from relational and structured data sources. However, it gets tricky when you want ...
Read MoreRe-use algorithms for converting XML and JSON to a relational format
In our previous post Optimisation algorithms for converting XML and JSON to a relational format, we explained that Flexter ships with two optimisation algorithms. These algorithms make the life of downstream consumers of the output of Flexter easier as they simplify the relational target schema that Flexter auto-generates. In this post we will be showing ...
Read MoreConverting GDTF XML standard to MySQL
In this post we will guide you through the easiest way of processing your XML data to a relational format on MySQL . We will be using Flexter as a Service (FaaS) to process the GTDF XML standard. FaaS follows a monthly subscription model. Flexter is available in three editions. An enterprise edition, which can ...
Read MoreConverting OSCRE IDM to Snowflake
In this post we will guide you through the easiest way of processing your XML data to a relational format on Snowflake . We will be using Flexter as a Service (FaaS) to process the OSCRE Real Estate Industry Data Model (IDM) XML. FaaS follows a monthly subscription model. Flexter is available in three editions. ...
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