n this Microsoft Fabric series: An Apache Spark job definition is a single computational action, that is normally scheduled and triggered. In Microsoft Fabric (same as in Synapse), you could...continue reading.
In this Microsoft Fabric series: We have explored the Data Engineering in Fabric, and today we will check the “Environment”. Environment (still in preview) Microsoft Fabric provides you with the...continue reading.
In this Microsoft Fabric series: Now that we explored the lakehouse through the interface and workspaces, let’s check today, how can we use REST API. Microsoft Fabric Rest API defines...continue reading.
In this Microsoft Fabric series: Let’s explore the SQL commands that are available in SQL Analytics endpoint. And it should be easier to check, what is currently not supported and...continue reading.
In this blog post, I’m going to quickly explain positive and negative classes in machine learning classification. I’ll explain what the positive and negative classes are, how they relate to...continue reading.
In this Microsoft Fabric series: We have learned lakehouse, delta tables and there is an SQL analytics endpoint, which we want to dig into! SQL Analytics endpoint in lakehouse is...continue reading.
On Thursday, December 5th, 2023, Posit and Databricks held a joint event, revealing several key developments in their ongoing collaboration. These updates, building on announcements from July 2023, showcase tangible...continue reading.
Shiny has long stood as a pillar of functionality and flexibility for R-based web applications. Let’s explore Shiny Express — an emerging Python-centric framework in development that combines the ease...continue reading.
In this Microsoft Fabric series: We have learned about delta lake and delta tables. But since we have uploaded the file directly, let’s explore, how we can also get the...continue reading.
Picture this – the data science team you manage primarily uses R and heavily relies on dplyr for implementing data processing pipelines. All is good, but then out of the...continue reading.
If you want to master modern machine learning and AI, one of the major sub-areas that you need to master is classification. Classification is one of the most important types...continue reading.
In this Microsoft Fabric series: Yesterday we looked into lakehouse and learned that Delta tables are the storing format. So, let’s explore what and how we can go around understanding...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Batool Almarzouq, with help from the R Weekly...continue reading.
Is machine learning overrated, with traditional methods being underrated these days? Yes, ML has had some celebrated successes, but these have come after huge amounts of effort, and it’s possible...continue reading.
In this Microsoft Fabric series: Lakehouse is cost-effective and optimised storage, supporting all types of data and file formats, structured and unstructured data, and helps you govern the data, giving...continue reading.
In this Microsoft Fabric series: How to get started? If you have used Power BI services in the past, you will be on board immediately. The outlook is the as...continue reading.
Microsoft Fabric is a next-gen platform, that brings all-in-one data and analytics solution for end users, small, medium and large enterprises. Services offer the complete data cycle movement (data ingestion,...continue reading.
Statistical analysis and data handling play a pivotal role in the life sciences and pharmaceutical industries. The need for accurate and robust data analysis cannot be overstated, as it underpins...continue reading.
R/Shiny allows you to prototype a working web application quickly and easily. However, with increasing amounts of data, your app may become slow and, in extreme cases, crash due to...continue reading.
The data.table 2023 user community survey is here, open until December 1st.continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
