The top brands in the world strive to deliver more of what their customers want in the most convenient and delightful way possible. L’Oreal is relaunching 600 of their 3,000 different websites in just 3 years to impress their customers with a more personalized shopping experience, including AI-powered shopping assistants and color-matching. In this post, we introduce you to the tools that top retail brands are using to meet their digital experience objectives.

The key differences between Stitch, Jitterbit, and Xplenty: The average business pulls data from 400 different locations, which makes it tricky to generate valuable data insights. Data-driven organizations use an Extract, Transform, and Load (ETL) platform to pull all this information into a data lake or warehouse for deeper analysis. However, many businesses lack the technical skills (like coding) to facilitate this process. The three tools in this review make ETL workflows easier.

Personalization enables marketers to send hypertargeted content and offers that are more likely to drive purchases and cultivate brand loyalty. Research by Accenture from 2018 shows that 91% of consumers are more likely to shop with companies that provide relevant offers and recommendations. Though personalization helps marketers optimize ad spend and drive improvements in customer lifetime value, basket size, and retention, it’s still untenable at scale in many organizations.

2020 was a challenging year for many organizations as they faced sudden changes in consumer behavior and market dynamics. The shift to digital channels is nothing new, and even in 2019, digital was already the preferred option for commerce and collaboration across many industries—but in the wake of the global pandemic, these channels became the first and only option for many businesses. Preference gave way to necessity almost overnight.

This article was written by Ivan Rylach, a staff software engineer from Checkr. Checkr is the leading technology company in the background check industry. The company was moving to a services-oriented architecture. To scale this process, we switched to a declarative configuration for API management. As the staff software engineer at Checkr, I faced more scenarios where declarative configuration was not suitable by design. This post, and the video below, will explain these cases.

One of the most effective marketing strategies is to send emails based on the behavior of the recipient. By triggering on how your customers interact with your product, you’re able to share content that’s actually aligned with what they’re doing and thus more likely to resonate. By using automated email workflows it’s possible to share über-relevant content at scale with large cohorts of customers.

To kick off our series on debugging for software developers, we tell you how to build breakpoints step by step using Xcode and breakpoint Android Studio to isolate key information about your app’s performance, and save crucial time during the process.

Are you running your organization's Apache Kafka on-premise? If you are and you’re still reading this article, it’s more than likely that Kafka is or will be a keystone of your data infrastructure. But it’s also likely your teams are tired of the cost and complexity required to scale it, meaning your honeymoon with Kafka is coming to an end. So what does the imminent migration mean?

Choosing whether to go with PostgreSQL or MySQL depends on your needs as they are both great databases to use under different circumstances. In this article we will run through a few of the top reasons and use cases to help you choose between these choices for database creation. Note: As a matter of fact, MySQL is so popular it became part of the LAMP stack (Linux, Apache, MySQL, PHP) used for building many web servers.

Snowflake and Saturn Cloud are thrilled to announce our partnership to provide the fastest data science and machine learning (ML) platform. Snowflake’s Data Cloud comprises a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Saturn Cloud’s platform provides lightning-fast data science. Combined, our solutions enable customers to maximize their ML and data science initiatives.