Data Vault 2.0 Warehouse Automation on Azure
This is the series of 'Blog Articles' on the topic "Data Vault 2.0 on Azure" where we start from 'What?' and then slowly dwell into 'How To?' implement DV 2.0…
Streamline Stream Analytics Job Development with the No-Code Editor
Azure Stream Analytics is a fully managed stream processing engine designed to analyze and process large volumes of streaming data with sub-millisecond latencies. Using a SQL-like query language, it empowers…
Transforming Text to Video: Harnessing the Power of Azure Open AI and Cognitive Services with Python
Introduction In today's digital age, video content has become a powerful medium for communication and storytelling. Whether it's for marketing, education, or entertainment purposes, videos could captivate and engage…
Data Science with Azure Synapse and Data Vault 2.0
This Article is Authored By Michael Olschimke, co-founder and CEO at Scalefree International GmbH The Technical Review is done by Ian Clarke and Naveed Hussain – GBBs (Cloud Scale Analytics) for EMEA at Microsoft The use of a…
Real-Time Processing with Data Vault 2.0 on Azure
This Article is Authored By Michael Olschimke co-founder and CEO at Scalefree International GmbH and Co-authored with @obause from Scalefree The Technical Review is done by Ian Clarke, Naveed Hussain, Irfan Maroof and Hajar Habjaoui – GBBs (Cloud Scale Analytics) for EMEA at Microsoft Introduction In…
Data Vault 2.0 on Azure
This Article is Authored By Michael Olschimke, co-founder and CEO at Scalefree International GmbH and Co-authored with @mwinkelmann from Scalefree The Technical Review is done by Ian Clarke and Naveed Hussain – GBBs (Cloud Scale Analytics) for EMEA at Microsoft Introduction In…
A Modern Data Analytics Platform on Azure with Data Vault 2.0
This Article is Authored By Michael Olschimke, co-founder and CEO at Scalefree International GmbH and Co-authored with @mwinkelmann from Scalefree and @JonasDeKeuster from VaultSpeed The Technical Review is done by Ian Clarke and Naveed Hussain – GBBs (Cloud Scale Analytics) for EMEA at Microsoft…
Data Vault 2.0 using Databricks Lakehouse Architecture on Azure
Data Vault 2.0 on the Databricks Lakehouse This Article is Authored By Jonas De Keuster & Koen Moermans from VaultSpeed and Co-authored with Michael Olschimke, co-founder and CEO at Scalefree International GmbH The Technical Review is done by Ian Clarke, Naveed Hussain, Irfan Maroof and Hajar…
Master Stream Analytics with the Physical Job Diagram
To ensure that your Azure Stream Analytics (ASA) jobs are running at peak performance, it's important to have a deep understanding of your job's execution plan and closely monitor the…
HDInsight 5.0 with Spark 3.x – Part 2
Author(s): Arun Sethia is a Program Manager in Azure HDInsight Customer Success Engineering (CSE) team. Introduction This blog is part of Spark 3.x series of blogs; the blog is dedicated towards…
Power Up with Power BI and Lakehouse in Azure Databricks: part 3 – Tuning Azure Databricks SQL
This is the third post in a 3-part blog series on Power BI with Azure Databricks SQL authored by Andrey Mirskiy and Diego Fanesi. Read Part 1: Power Up your…
Ensure your Stream Analytics query runs at peak performance using Job Simulation
Maximizing the performance and scalability of your Stream Analytics job requires optimizing your query logic. One tool that can help you achieve this is the Job Simulation feature within the…
Azure Stream Analytics Schema Registry Integration in Public Preview
In the world of data streaming, efficient data processing is key to unlocking valuable insights and powering real-time decision-making. With the recent integration of Event Hubs Schema Registry, Azure Stream…
Private Preview of Kafka Input and Output with Azure Stream Analytics
Imagine getting real-time insights into customer transactions with sub-second latency to respond to customer behavior immediately, detecting anomalies associated with your machines running at your business, or building real-time dashboards…
Exciting announcements by Azure Stream Analytics at Build 2023!
Azure Stream Analytics announces a slew of enhancements at Build 2023: New competitive pricing model, Virtual Network integration, native support for Kafka source & destination, integration with Event Hub Schema Registry, GA…
Run your Azure Stream Analytics job inside your Azure Virtual Network (Public Preview)
Overview Virtual network support enables you to lock down access to Azure Stream Analytics to your virtual network infrastructure. This capability provides you with the benefits of network isolation and…
Azure Stream Analytics has Launched a New Competitive Pricing Model!
Our customers already enjoy ASA’s exceptional performance, high availability, low-code/no-code experiences, and rich development tools. To make streaming analytics with ASA an even easier win, we are announcing a new…
Power Up your BI with Microsoft Power BI and Lakehouse in Azure Databricks: part 2 – Tuning Power BI
This is the second post in a 3-part blog series on Power BI with Azure Databricks SQL authored by Andrey Mirskiy and Diego Fanesi. Read Part 1: Power Up your BI with Microsoft Power BI…
Enhanced autoscale capabilities in HDInsight clusters
Today, we announce HDInsight Autoscale with enhanced capabilities which include improved latency and support for recommissioning node managers in case of load-based autoscale. Together, they improve cluster utilization massively and…
Power Up your BI with Microsoft Power BI and Lakehouse in Azure Databricks: part 1 – Essentials
This post was authored by Andrey Mirskiy and Diego Fanesi. Welcome to the first post of our series on how to use Azure Databricks SQL with Power BI. In…
How to use Redis as a Data Source for Power BI with Redis SQL ODBC
By Steve Lorello, Sr. Field Engineer at Redis Power BI is a widely used, interactive visualization tool capable of querying a variety of SQL-powered back ends. To accelerate these…