Systems | Development | Analytics | API | Testing

How to use Flink SQL, Streamlit, and Kafka: Part 1

Market data analytics has always been a classic use case for Apache Kafka. However, new technologies have been developed since Kafka was born. Apache Flink has grown in popularity for stateful processing with low latency output. Streamlit, a popular open source component library and deployment platform, has emerged, providing a familiar Python framework for crafting powerful and interactive data visualizations. Acquired by Snowflake in 2022, Streamlit remains agnostic with respect to data sources.

Ably: Delivering reliable realtime experiences at scale

Ably was proud to celebrate our 8th birthday this year, and we’ve enjoyed reflecting on some of our achievements since launching in 2016. When we launched, we believed that realtime interactions would underpin our everyday digital experiences, rather than just augment them. And so we set out on a mission to build the definitive realtime experience platform.

5 Top Benefits for Choosing React Native

React Native is an open-source framework that Meta (then Facebook) designed to build native applications for Android, iOS, and other platforms. The framework is built so anyone familiar with React can easily build cross-platform applications without learning a completely different framework or language. However, there are differences in the functionality of the two, including: There are many more differences, but we’ll get into those later in the post.

S1.E5: Test automation uncovered | QA Therapy Podcast

In this episode, we're diving into the realm of test automation ownership, strategy, tooling, and beyond, with our special guest, Toyer Mamoojee, our esteemed QA Therapist. Toyer, a seasoned speaker at testing conferences, is renowned for his expertise in test automation. Did you know that Xray enables you to consolidate results from various testing frameworks into a single, centralized location within Jira? This means your teams can freely select their preferred testing frameworks or tools without sacrificing visibility into the testing process.

Delivering Effective AI for Telecom Companies: Trusted, Open, Hybrid

It’s not a surprise that in today’s challenging economic landscape, rising costs pose a significant threat to the telecommunications industry. Consider that in 2022, Bain Capital was predicting that Telcos would grapple with increased personnel and escalating operating costs due to inflation. And here we are.

Data Catalog vs. Data Dictionary vs. Business Glossary: Key Differences

A data catalog is a collection of metadata that acts as a comprehensive inventory of an organization’s data assets. It provides an overview of all the data available, regardless of its location or technical details. This collection helps analysts and other data users find the needed data.

A Monumental Year for Qlik's Data Integration and Quality Business

At Qlik World 2023, Mike Capone stood on stage and proudly announced the acquisition of Talend to form Qlik’s Data Business Unit. The Data BU had the charter to combine the best of Qlik Data Integration with Talend and Stitch Data to deliver market-leading data integration and quality solutions.

Making AI Real for Customers with Robust Data Foundations and Powerful AI-Driven Insight

The rise of AI brings unprecedented opportunities, deeply rooted in the transformative power of data. As organizations strive for smarter, faster outcomes—whether accelerating product launches, streamlining supply chains, improving customer experiences, or enhancing workforce productivity—they must address five key needs for enterprise AI adoption: Move/ Transform - To effectively adopt AI, companies need to bring together and transform data of all types from all sources.

Snowflake Massively Expands Types of Applications That Can Be Built, Deployed and Distributed on Snowflake

Apps are the way to democratize AI: to make it accessible to everyone and streamline customers’ experiences with faster time to insights. According to a recent IDC survey, AI applications is currently the largest category of AI software, accounting for roughly one-half of the market’s overall revenue in 2023.