Using Virtual Data Marts the right way
Uli Bethke
Virtual data marts can be a useful design pattern but there are a few things you should know before you use them. Virtual data marts are logical views modeled dimensionally on top of an integration layer or a persisted staging area. Don’t confuse them with data virtualisation or data federation. Virtual data marts are built ...
Read MoreConverting XML to Snowflake, Redshift, BigQuery, Azure Synapse. A comparison
Today, with the rise of the data and cloud-computing applications, the need of storing and analyzing the growing number of semi-structured data is increased. The data originating from a wide range of sources such as sensors, IOT devices, application logs, etc. use semi-structured data formats such as XML, JSON, Avro, etc. because of their flexibility. ...
Read MoreThe 6 Factors You Need to Get Right to Make Your XML Conversion Project a Success
A successful XML conversion project makes data: Intelligible Readable, and Analysable Achieve that and decisions can be made quickly on accurate and reliable data. Unfortunately, many projects fail because of time, resource, or budget restrictions. This is both frustrating and expensive. Get the following elements right to ensure that you see your project through to ...
Read MoreGuide to Geography Dimension on the Snowflake Marketplace
We have published a universal Geography Dimension on the marketplace of the Snowflake Data Cloud. You can easily join the data with your in house data to look up location data. You can also use it for drilling down / rolling up in any type of location analytics. ER DIAGRAM CORE TABLES The core tables ...
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