Posts Tagged ‘Data’

Attending Salesforce Connections 2024 at McCormick Place in Chicago was an energizing experience, highlighting the forefront of AI integration in business operations. The event gathered industry leaders to explore the latest advancements in artificial intelligence, data integration, and commerce, with a clear focus on how these technologies are reshaping the business landscape. One of the […]

What a great week at Connections 2024 in Chicago!  There were so many great sessions and announcements to be excited about.  I wanted to write about two of the lesser known, but albeit very important features of Data Cloud and how they work together:  Data Graphs and Query Editor! In the fast-paced world of customer […]

In the world of data warehousing and business intelligence, two key concepts are fundamental: Snowflake and Star Schema. These concepts play a pivotal role in designing effective data models for analyzing large volumes of data efficiently. Let’s delve into what Snowflake and Star Schema are and how they are used in the realm of data […]

In December 2022, the Department of Health and Human Services released a bulletin announcing additional compliance requirements for healthcare marketers when it comes to third-party trackers. The guidance lays forth expectations for how healthcare organizations collect data on activities that take place on their website and mobile apps.   So, what’s the problem? Per the […]

The spark.sql.* properties are a set of configuration options specific to Spark SQL, a module within Apache Spark designed for processing structured data using SQL queries, DataFrame API, and Datasets. These properties allow users to customize various aspects of Spark SQL’s behavior, optimization strategies, and execution environment. Here’s a brief introduction to some common spark.sql.* […]

Spark SQL offers a set of built-in standard functions for handling dates and timestamps within the DataFrame API. These functions are valuable for performing operations involving date and time data. They accept inputs in various formats, including Date type, Timestamp type, or String. If the input is provided as a String, it must be in […]

In the world of big data processing, efficient and scalable file systems play a crucial role. One such file system that has gained popularity in the Apache Spark ecosystem is DBFS, which stands for Databricks File System. In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate […]

Spark Persistence is an optimization technique, which saves the results of RDD evaluation. Spark provides a convenient method for working with datasets by storing them in memory throughout various operations. When you persist a dataset, Spark stores the data on disk or in memory, or a combination of the two, so that it can be […]

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 reducing the learning curve for those switching to it from other tech stack. Next.js is a React-based framework designed […]

Introduction: In the second installment of our Spring Boot blog series, we delve into the fundamental concepts that form the backbone of any Spring Boot application. From managing dependencies with Maven or Gradle to working with data using Spring Data and mastering the intricacies of RESTful web services, we leave no stone unturned. So, fasten […]

Imagine you’re running a business and using analytics to make decisions. You have reports, dashboards, data visualizations – all sorts of content that helps you understand what’s happening in your business. This content goes through a life cycle: it’s created, used, updated, and eventually retired. Managing this cycle effectively is crucial to ensure the information […]

In today’s rapidly evolving healthcare landscape, data is the driving force behind informed decision-making and personalized patient care. However, the abundance of data scattered across various siloed systems can be overwhelming, making it challenging for healthcare providers to harness its full potential. This is where Salesforce Data Cloud steps in as a Customer Data Platform […]