Developing Agile ETL Flows with Ballerina

Organizations generate vast amounts of data daily during various business operations. For example, whenever a customer checks out out at a retail outlet, data such as the customer identifier, retail outlet identifier, time of check out, list of purchased items, and the total sales value can be captured in the Point of Sales (PoS) system. Similarly, field sales staff may record possible sales opportunities in spreadsheets.

Leveraging Snowflake And AI To Create Personalized Customer Experiences At Scale

In this episode of the "Data Cloud Podcast", Bill Stratton, Global Head of Media, Entertainment & Advertising at Snowflake, sits down with Ravi Kandikonda, Sr. VP of Marketing at Zillow. Ravi shares his experiences and insights on modern software development, talks about how his academic background prepared him for modern marketing, and what Zillow is doing to approach personalization at scale.

Qlik Anonymous Access - SaaS in 60

Qlik Anonymous Access is an exclusive, new capability that enables organizations to share analytics insights with a public audience easily. It leverages Qlik Cloud’s secure and scalable platform, allowing you to embed Qlik Sense apps, dashboards, and visualizations into websites or third-party applications using shareable links or our new Qlik Embed APIs. With Anonymous Access, no login credentials are required, simplifying engagement with embedded analytics.

How Thrivent Uses Real-Time Data for AI-Driven Fraud Detection

In today’s fast-paced financial services landscape, customers have a shorter attention span than ever. To meet clients’ growing demands for real-time access to information and keep innovating in areas like fraud detection and personalized financial advice, Thrivent needed to overhaul its data infrastructure. With data scattered across siloed legacy systems, diverse tech stacks, and multiple cloud environments, the challenge was a bit daunting. But by adopting Confluent Cloud, Thrivent was able to unify its disparate data systems into a single source of truth.

Databricks + Unravel: Achieve Speed and Scale on the Lakehouse

Companies are under pressure to deliver faster innovation, enabled by cloud-based data analytics and AI. In order to deliver faster business value, data teams are looking to achieve speed and scale through data and AI pipeline performance and efficiency. A recent MIT Technology Review Insights report finds that 72% of technology leaders agree that data challenges are the most likely factor to jeopardize AI/ML goals.

Adobe and Snowflake Deepen Partnership to Rewrite the Next Era of Customer Experience

Adobe launched Adobe Experience Platform Federated Audience Composition, now generally available on Snowflake, allowing organizations to unlock seamless interoperability for marketers by integrating Snowflake's AI Data Cloud with Adobe Real-Time Customer Data Platform (CDP) and Adobe Journey Optimizer.

SQL for data exploration in a multi-Kafka world

Every enterprise is modernizing their business systems and applications to respond to real-time data. Within the next few years, we predict that most of an enterprise's data products will be built using a streaming fabric – a rich tapestry of real-time data, abstracted from the infrastructure it runs on. This streaming fabric spans not just one Apache Kafka cluster, but dozens, hundreds, maybe even thousands of them.

Gen AI for Marketing - From Hype to Implementation

Gen AI has the potential to bring immense value for marketing use cases, from content creation to hyper-personalization to product insights, and many more. But if you’re struggling to scale and operationalize gen AI, you’re not alone. That’s where most enterprises struggle. To date, many companies are still in the excitement and exploitation phase of gen AI. Few have a number of initial pilots deployed and even fewer have simultaneous pilots and are building differentiating use cases.