Dennes Torres

Dennes Torres is a Data Platform MVP and Software Architect living in Malta who loves SQL Server and software development and has more than 20 years of experience. Dennes can improve Data Platform Architectures and transform data in knowledge. He moved to Malta after more than 10 years leading devSQL PASS Chapter in Rio de Janeiro and now is a member of the leadership team of MMDPUG PASS Chapter in Malta organizing meetings, events, and webcasts about SQL Server. He is an MCT, MCSE in Data Platforms and BI, with more titles in software development. You can get in touch on his blog https://dennestorres.com or at his work https://dtowersoftware.com

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23 April 2024
23 April 2024

4 Reasons to use KustoDB for Real-Time

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When implementing real-time ingestion, we usually implement an architecture called lambda. Using the lambda architecture, KustoDB in Microsoft Fabric is always recommended for the speed layer. Do you know why? Let’s analyze in detail. 1 – KustoDB uses SSD KustoDB uses an internal SSD storage. Lakehouses use ADLS as their backend. In this way, Kusto … Read more
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10 April 2024
10 April 2024

Azure OpenAI and RAG Security

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The most watched videos on my youtube channel are related to security. Azure SQL Networking Secrets and Cloud Security: Secure Access from your Applications to Azure SQL explain private endpoints from different points of views: Azure SQL and Function Apps. The concepts of Private Endpoints apply to most Azure features and even the relation of … Read more
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03 April 2024
03 April 2024

Dynamic Partitioning and a Simple Incremental Load

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Let’s consider a simple statement for partitioning and save a table in a lakehouse: df.write.mode("overwrite").format("delta").partitionBy("Year","Month","Day").save("Tables/" + table_name) Let’s consider we load the data daily, with all the transactions from the day. The table will save the transactions for each day in different partitions. We can expect the table to keep the partitions from previous day, … Read more
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13 March 2024
13 March 2024

5 Secrets about Dataflows Gen 2

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Dataflows Gen 2 are the new version of Power BI dataflows. There are so many changes in relation to the previous version they are considered a new feature. The main difference is the possibility to set a target for the result of each query in the dataflow. In this way, it can be used as … Read more
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28 February 2024
28 February 2024

Customizing Kusto (Data Explorer) Connections in Deployment pipeline

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When organizing our SDLC (Software Development Lifecycle) in Power BI/Fabric, we use Deployment Pipelines and create rules to change connection configurations every time we promote an object from one environment (dev for example) to another (test, for example). Kusto connections, on the other hand, are not so simple. You can check more about Deployment Pipelines … Read more
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21 February 2024
21 February 2024

Eventstream and the new KQL Processing

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Eventstream has many differences in relation to the technologies it proposes to replace. Event Hub, Stream Analytics, Streaming Dataflows and more. We can compare these technologies, but EventStream in Microsoft Fabric has some specific differences from all of them. One of the differences is how the transformation of the input data is linked to the … Read more
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17 January 2024
17 January 2024

Fabric and Self-Service: Control who can use

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We can say Fabric is the evolution of the Power BI environment. Power BI is a self-service environment, and so is Fabric. This allows the implementation of very interesting architectures, which will be the subject of future videos and articles. However, it’s not something free-and-easy, and it shouldn’t be. Using Fabric Admin Portal (or Power … Read more
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17 December 2023
17 December 2023

Using Spark Jobs for Multiple Lakehouse Maintenance in Microsoft Fabric

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I have published videos and articles before about Lakehouse maintenance. In this article I want to address a missing point for a lot of Fabric administrators: How to do maintenance on multiple lakehouses that are located in different workspaces. One of the videos I have published explains the maintenance of multiple lakehouses, but only addresses … Read more
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13 December 2023
13 December 2023

Fabric Notebooks and Deployment Pipelines

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On my article about Fabric source control extended features, I explained how Microsoft included the notebooks on the source control. In this way we can include notebooks on a Software Development Lifecycle (SDLC) for Power BI objects. In this way, the notebooks need to flow from the development environment to test and production environments. However, … Read more
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