How to use modular architecture and pre-built connectors to enable chatbots, code generation and more.

Learn how to create and measure the performance of clustered tables and materialized views using BigQuery.

As described in our recent blog post, an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Picture it with me: a time when you were a child and someone read your favorite story to you, or when you were an adult and you read someone their favorite story. I want you to focus on the emotions remembering that experience generated. Personally, I thought about reading the book, “Guess How Much I Love You,” to my daughter when she was young and how she would sit on my lap and hang on to every word.

2023 was a big year for developers, with technology taking huge leaps forward in new and exciting areas like AI. With this new unlocked potential, advanced analytics jumped back to the top of the capability wish list for many technology buyers. With customers now expecting more than ever from analytics, many development teams invested in embedded analytics solutions to reduce the workload and time to value for their applications. Here are some of the top trends from last year in embedded analytics.

Generative AI was undoubtedly the most important data moment of 2023, and created a level of excitement for our industry that will certainly continue to be felt in 2024. As we welcome the new year, I am thrilled to share that Qlik is hitting the ground running on that front: today we are announcing the acquisition of groundbreaking technology from Kyndi, an innovator in natural language processing, search, and generative AI.

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. Because of the high rate of M&A activity in the industry, manufacturing enterprises often struggle with multiple ERP instances. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

In the previous blog, the Yellowfin Japan team used Yellowfin's Data Transformation Flow feature to create a database of the CSV file of order history data. In this article, the team will demonstrate how to leverage the database for analysis by processing and formatting said data using native Yellowfin features, including View and Report Builder.