Systems | Development | Analytics | API | Testing

Retrieval Augmented Generation (RAG) with Data Streaming

How do you prevent hallucinations from large language models (LLMs) in GenAI applications? LLMs need real-time, contextualized, and trustworthy data to generate the most reliable outputs. Kai Waehner, Global Field CTO at Confluent, explains how RAG and a data streaming platform with Apache Kafka and Flink make that possible.

What is a KPI Dashboard? 6 Key Benefits & Best Practice Examples

From business-wide objectives to long-term targets, every organization has specific metrics they need to track. One way to communicate those insights is a KPI dashboard. Key performance indicator (KPI) dashboards are a great way for executives to improve their management of strategic goals, and keep on top of changes, issues and trends in performance at a high-level, with many useful applications when used correctly, alongside other modern analytics tools.

Astera Data Governance Walkthrough

Join me as I guide you through: Centralizing your organization’s data securely Enhancing data quality with enrichment tools Deploying projects using Astera Data Pipeline Builder Managing and enriching data assets Creating glossary terms and tags for better data discoverability Generating comprehensive data profiles and automating data quality checks Approving access requests for data assets.

Retail Media's Business Case for Data Clean Rooms Part 1: Your Data Assets and Permissions

It’s hard to have a conversation in adtech today without hearing the words, “retail media.” The retail media wave is in full force, piquing the interest of any company with a strong, first-party relationship with consumers. Companies are now understanding the value of their data and how that data can power a new, high-margin media business. The two-sided network that exists between retailers and their brands turns into a flywheel for growth.

What is OLAP (Online Analytical Processing)?

Online Analytical Processing (OLAP) is a computing technology through which users can extract and query data to analyze it from different points of view. These typically high-speed and complex queries are performed on massive data volumes stored in a data lake, data warehouse, or other large-scale repositories. Typical OLAP applications include business intelligence (BI) and forecasting and reporting.

Avro vs Parquet: Is one better than the other?

Big data has taken the world by storm, and as enterprises worldwide scramble to make sense of it, it continues to hit hard. Given the amounts of data produced daily, not only are they overwhelmed dealing with it, but they are also concerned that their existing ETL pipelines might not be able to cope without a solid data warehousing strategy.