Product announcement: Keboola is launching no-code transformations!

In this new exciting development, Keboola is launching no-code data transformations for everybody on the platform. No-code transformations empower users without the technical know-how to build robust, feature-rich applications without having a degree in computer science or waiting for the IT department to develop the apps for them.

Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions, and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection, AI assistant, and MathGPT.

Using Dead Letter Queues with SQL Stream Builder

Cloudera SQL Stream builder gives non-technical users the power of a unified stream processing engine so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. This allows business users to define events of interest for which they need to continuously monitor and respond quickly. A dead letter queue (DLQ) can be used if there are deserialization errors when events are consumed from a Kafka topic.

Creating a basic write back solution with Qlik Cloud

Using Qlik Cloud Analytics and Qlik Application Automation you can create sophisticated solutions to solve many business problems. With Qlik's new properties in the action button object, you can now execute an Application Automation workflow while passing parameter / value pairs to the workflow. Check out this simple walk-through to see an example of writing back data to a MS Azure SQL database.