In part one of this series, we walked through how to use Streamlit, Apache Kafka, and Apache Flink to create a live data-driven user interface for a market data application to select a stock (e.g., SPY) and discussed the structure of the app at a high level. First, data with information on stock bid prices is moved via an Alpaca websocket, then, it’s produced to a Kafka topic in Confluent Cloud where it is also processed with Flink SQL.

How to use Gemini generative AI models through BigQuery to boost productivity in Google productivity tools like Sheets.

In today's rapidly evolving digital landscape, superior software is essential, whether it be the apps on our phones or the intricate systems supporting various business requirements. The process known as Software Testing (ST) has undergone an immense transformation in order to meet this necessity where Artificial intelligence (AI) and machine learning (ML) play a great role in QA solutions.

As software applications have evolved over the past two decades, their reach has expanded to various platforms. For instance, desktop applications like Microsoft Office have transitioned to web applications like Office 365, and web applications like Amazon now have companion mobile applications. According to Statista report, global app downloads stood at 257 billion in 2023. The app market is expected to generate $613 billion in revenue by 2025.

The BigQuery ML.GENERATE_TEXT function lets you use LLMs from Vertex AI within your SQL queries to analyze text in a BigQuery table.

It might be a cliche, but first impressions really do count. Whether it’s a first date, a job interview or the UI design of your app, looking the part is a massively important consideration. Today we’re going to look at how we can use the SwiftUI Color structure to enhance the visual appeal of our apps and make the right impression on our users.

Recently, Cloudera, alongside OCBC, were named winners in the“Best Big Data and Analytics Infrastructure Implementation” category at The Asian Banker’s Financial Technology Innovation Awards 2024. This recognition underscores the importance of trusted data when building AI and generative AI (GenAI) models and serves as a testament to the impact that reliable data can have in real world use cases.