Category: Learning Paths & Courses

Qlik Sense Course – Article 8 of 28 ← Previous Article: Incremental Loading – Loading Only Changes → Next Article: Resolving Synthetic Keys & Circular References What will you learn about QVD optimization for 10-100x faster loads in Qlik Sense? QVD files (QlikView Data) are Qlik’s secret performance weapon – optimized QVD loads achieve 10-100x faster data loads than direct database connections…

Reloading millions of records daily is slow, inefficient, and puts unnecessary strain on your source systems. This guide teaches you the most important technique for professional Qlik applications: incremental loading using timestamp-based delta loads, hash comparison, and fallback strategies.

Qlik Sense Course – Article 6 of 28. Data often comes in a human-readable but analysis-unfriendly ‘wide’ format (e.g. months as columns). This guide shows you Qlik’s powerful tools for converting such data into an analysis-friendly ‘long’ format – a process known as transposition or unpivoting.

Qlik Sense Course – Article 5 of 28. Raw data is rarely analysis-ready. This guide teaches you every Qlik developer’s essential toolkit: transformation functions. Learn how to turn messy data into clean, structured, and meaningful information using String, Date, Math, and Inter-Record functions.

Qlik Sense Course – Article 4 of 28. When you need to add a single field to a large table, a LEFT JOIN is often slow and inefficient. This guide introduces the ApplyMap() function – an extremely fast alternative that can drastically reduce your script runtimes, often 10-100x faster than a JOIN.

Qlik Sense Course – Article 3 of 28. Table linking is at the heart of every data model. Qlik offers several techniques that go far beyond the classic SQL JOIN. This guide shows you which strategy – JOIN, KEEP, CONCATENATE, or WHERE EXISTS() – is best for your goal, with performance comparisons and practical examples.

Qlik Sense Course – Article 2 of 28 ← Previous Article: Loading Data in Qlik – All Sources Explained → Next Article: JOINs vs KEEPs – When to Use Which Once you've loaded raw data from external sources, the real work begins: transformation. This guide shows you how to work with data that's already in Qlik's memory – using RESIDENT loads, PRECEDING loads, and INLINE tables. Learn which load strategy to use when, and how to build clean, high-performance ETL pipelines in Qlik Sense.

Qlik Sense Course – Article 1 of 28 Next Article: Load Strategies – RESIDENT vs PRECEDING vs INLINE → What can you learn in 15 minutes about loading data in Qlik? After this guide you’ll be able to: Load CSV files with special characters and wrong delimiters without errors (100% success rate). Write database queries that are up to 50x faster than a blanket SELECT *. Choose the right load strategy for your data volume (small vs. large datasets).