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Last year I reread and still love Ursula Le Guin’s books in The Earthsea Cycle. In the land of Earthsea, wizards are not all-powerful beings, but are humans able to manipulate nature around them by speaking words of power – the true names of things and creatures. I have been working with coding assistants and […]

If you’ve worked with Optimizely CMS, you might be pretty familiar with TinyMCE. Its the amazing rich text editor that works seamlessly with Optimizely CMS. And some of you may have worked with some or other form of customization with it in projects, be it adding additional styles, work with different plugins, format the toolbar […]

ChatGPT is undeniably a remarkable tool for generating coherent and contextually relevant text, particularly when it comes to the vast array of information available up until its last training cut-off in January 2022. Its proficiency lies in its ability to synthesize information and respond to prompts, showcasing an impressive understanding of diverse topics. However, there […]

In Spark with Scala, creating DataFrames is fundamental for data manipulation and analysis. There are several approaches for creating DataFrames, each offering its unique advantages. You can create DataFrames from various data sources like CSV, JSON, or even from existing RDDs (Resilient Distributed Datasets). In this blog we will see some approaches towards creating dataframe […]

Health insurance is just one of those things we simply can’t live without. It’s a security blanket we all want to snuggle up to, but nobody likes to use it. Because if you’re using it, it likely means you’re sick or need care. Can you guess who else doesn’t like it when you use your […]

Reading Azure EventHub Data into DataFrame using Python in Databricks Azure EventHubs offer a powerful service for processing large amounts of data. In this guide, we’ll explore how to efficiently read data from Azure EventHub and convert it into a DataFrame using Python in Databricks. This walkthrough simplifies the interaction between Azure EventHubs and the […]

Reading Azure EventHub Data into DataFrame Using Apache Spark – Scala Apache Spark provides a seamless way to ingest and process streaming data from Azure EventHubs into DataFrames. In this tutorial, we’ll walk through the setup and configuration steps required to achieve this integration. Prerequisites: Before diving into the code, ensure you have the necessary […]

Happy new year and welcome to 2024! In less than 11 months the MVP contribution timeline will end, so don’t wait 10 months to start thinking about contributing valuable content to the community – now is the time to start! As a quick recap of the MVP timeline The MVP community contribution timeline is from […]

In Apache Spark, efficient data management is essential for maximizing performance in distributed computing. Partitioning, repartitioning, and coalescing actively govern how data organizes and distributes across the cluster. Partitioning involves dividing datasets into smaller chunks, enabling parallel processing and optimizing operations. Repartitioning allows for the redistribution of data across partitions, adjusting the balance for more […]

This series is my Next.js study resume, and despite it’s keen to a vanilla Next.js,  all the features are applicable with Sitecore SDK. It is similar to the guide I recently wrote about GraphQL and aims to reduce the learning curve for those switching to it from other tech stacks. In part 1 we covered some […]

A comprehensive understanding of Spark’s transformation and action is crucial for efficient Spark code. This blog provides a glimpse on the fundamental aspects of Spark.  Before we deep dive into Spark’s transformation and action, let us see a glance of RDD and Dataframe.  Resilient Distributed Dataset (RDD): Usually, Spark tasks operate on RDDs, which is […]

This series is my Next.js study resume, and despite it’s keen to a vanilla Next.js,  all the features are applicable with Sitecore SDK. It is similar to the guide I recently wrote about GraphQL and aims to reduce the learning curve for those switching to it from other tech stacks. In part 1 we covered some […]