Platforms and Technology

Having worked on headless Sitecore projects for the last year and a half or so involving Experience Edge and/or XM Cloud, I’ve run into some…interesting things. In this post, I hope to share a few “lessons from the front” in the hopes that other teams out there can avoid the same mistakes and potentially save […]

My journey from golf course employee to building HIPAA-ready commerce solutions.   I’ve spent essentially my entire career in the medical device and life science space, and it didn’t start the way you would think. In college, I worked at a golf course as the guy who drove that funny tin can of a golf […]

Introduction AWS Glue is a fully managed ETL service from AWS which provides flexibility to work with both Snowflake tables and S3 files. AWS Glue Python shell allows to use additional python libraries (In our case, snowflake-connector-python) which helps in retrieval of data from snowflake and to run the queries directly in Snowflake with Snowflake […]

Overview: This article explains how to use Groovy and connectors to call an external REST API using Oracle EPM Cloud and Middleware technology called MuleSoft. Context: There is an option to call both internal and external REST APIs using the Groovy EPM object model. To generate GL files from ERPs and load them into FCCS […]

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 […]

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 […]

A new generative AI-powered assistant designed to streamline tasks and accelerate decision-making and problem-solving in your business. Amazon Q can be tailored to your company’s needs and allows you to have conversations, generate content, gain insights, and act by connecting to your enterprise systems, data, and code. Amazon Q offers user-based plans, so you can […]

Software is at the core of the modern business model, making quality and performance top priorities to stay competitive. Organizations rely on continuous automation and testing (CAT) services to build business applications faster, with higher quality, and at scale to meet increasing market demands. Organizations looking to modernize testing capabilities with new technologies or fill […]

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 […]