Navigating the complexities of cloud technology requires an exceptional partner. We are thrilled to announce that Perficient has been named a Major Player in the IDC MarketScape: Worldwide Cloud Professional Services 2024 Vendor Assessment (Doc #US51406224, June 2024). What Does This Inclusion Mean for Perficient? “We’re honored to be recognized as a Major Player in […]
Posts Tagged ‘Data’
Crafting AEP Schemas: A Practical Guide
Welcome to the world of Adobe Experience Platform (AEP), where digital transformation becomes a reality. If you’ve landed here, you’re already on your way to making significant strides in your organization or your career. In a digital era where data reigns supreme, and the Customer Data Platform (CDP) landscape is ever-evolving, businesses strive to maximize […]
Data is the New Oil
Data is the new oil. In today’s digital world, data is the new fuel. According to the latest estimates, 328 million terabytes of data are created each day. The age we live in is a digital age. As technology evolves, so has the use of the internet, which has skyrocketed in the last 10 years. […]
Einstein Personalization and Salesforce Connections 2024: AI Integration at the Forefront
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 […]
Unlocking the Power of Salesforce Data Cloud: A Dive into Data Graphs and Query Editor
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 […]
Introduction to Star and Snowflake schema
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 […]
Achieving New Heights in Healthcare Marketing With Salesforce Marketing Cloud Personalization
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 […]
Spark SQL Properties
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.* […]
Date and Timestamp in 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 […]
DBFS (Databricks File System) in Apache Spark
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 Storage Levels
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 […]
A crash course of Next.js: rendering strategies and data fetching (part 1)
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 […]