A topic frequently discussed during the Qlik Meet-up Lund was the lack of young people entering the market with solid data experience. During one of the breakout sessions, Ralfo Becher, Data & AI Engineer at Orientbelt.ai – a GenAI Semantic Layer company, suggested reaching young people by launching QlikTok. The need to do more in […]

What it is, why it matters, and best practices. This guide provides a data warehouse definition and practical advice to help you understand and establish a modern data warehouse. What is a Data Warehouse? A data warehouse is a data management system which aggregates large volumes of data from multiple sources into a single repository […]

Every data team understands the pressure—delivering clean, trusted data under tight deadlines, whether for a quarterly business review, a new AI project, or an upcoming compliance audit. The business needs answers quickly. However, the data quality processes are still catching up with many data engineers manually coding quality checks, stewards debating completeness rules, and analysts […]

Building a basic Qlik Cloud Analytics app Part 4 of the video demo series on how to integrate Qlik Automate with Qlik Cloud Analytics provides you with a full step by step tutorial on building a basic Qlik Cloud Analytics app that sends data and parameters to a Qlik Automate automation that formats the results […]

Qlik has always understood that the true value of data doesn’t come from raw information, but from refined, trusted data products that organizations rely on to make decisions. Unfortunately, many of these governed resources remain locked behind proprietary APIs or custom connectors, turning data access into a real scavenger hunt. At Qlik, every effort has […]

In this article, we aim to explore what streaming data is, how it works, provide relevant examples and best practices, as well as some practical tips to help you understand and manage it effectively. What is Streaming Data? Streaming data refers to data which is continuously flowing from a source system to a target. It […]

Apache Parquet has become the de-facto standard for storing data used in analytics workloads, and has seen very broad adoption as a free and open-source storage format. When used as the underlying storage layer for Apache Iceberg, Parquet is also a foundational building block in modern lakehouse architectures, which enable warehouse-like capabilities on cost effective […]

In this article, you can watch a video that provides a quick presentation and an overview of Qlik Open Lakehouse, a new capability within Qlik Talend Cloud that simplifies the process of building and scaling data lakehouses on Apache Iceberg in your AWS environment. The demo shows you how to easily perform CDC data ingestion […]

This article provides a comprehensive perspective on Lakehouses, its essential building blocks, high-level architecture and key considerations for building your own open data lakehouse. What is a Data Lakehouse? A data lakehouse is a data management architecture that combines key capabilities of data lakes and data warehouses into a unified platform. It brings the benefits […]

In this article, we present several practical ways in which Generative AI is being used to derive more value from data. We will also present key considerations, best practices, and technology options for the effective implementation of Generative AI. If you know Generative AI has potential, but you are struggling to figure out real-world application […]

Two-thirds already use AI, and their biggest worry is not cheating but a level playing field, echoing workplace adoption challenges. Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), has found that more than two-thirds of fantasy football fans are already using artificial intelligence to make decisions for their teams, […]