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Over the years, many different concepts related to systems dedicated to data analysis have appeared on the market. For those interested in the topic, concepts such as data lake, data warehouse, or data mesh are likely familiar. Some of these concepts disappeared faster than others, while others have become standards and have been implemented for […]
In many projects, we have different tools that must integrate with each other. These scenarios are common when we talk about Synapse Analytics and Azure Databricks. Integrating those platforms can be beneficial in several ways. By combining the capabilities of Azure Synapse’s SQL pool with Azure Databricks’ Apache Spark cluster, you can analyze and transform […]
Data Factory or Integrated Pipelines under Synapse Analytics suite can be very useful as an extracting and orchestrating tool. It is a common scenario when we extract data from the source system and save it in a dedicated landing zone located in Azure Data Lake Storage Gen 2. The only question that can appear is […]
If you have services like Azure Databricks and you have to synchronize identities inside the tool with those that exist in Azure Active Directory then how you can do it? Creating it manually is not the case because it is time-consuming and maintenance overhead is not acceptable. The best solution will be to use SCIM […]
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