Skip to main content

DAX Language - Data Analysis Expression



The DAX language was created specifically for the handling of data models, through the use of formulas and expressions. DAX is used in several Microsoft Products such as Microsoft Power BI, Microsoft Analysis Services and Microsoft Power Pivot for Excel.

Below are the types of Dax functions 

1. Aggregate 
2. Date and time
3. Filter
4. Financial 
5. Information 
6. Logical
7. Maty and trig
8. Other
9. Parent and child
10. Relationship Management 
11. Statistical 
12. Table manipulation 
13. Text
14. Time intelligence 

From the above list of functions 3 types of functions are basic and commonly used, those are Aggregate , Logical and Date and time.


Other important entities which are used with the above function are as follows 

1. Operators 
Example -  ( ), + , Not, &, =, < >, ||

2. Statements 
Define , Evaluate,  Order by, Return, Var

3. Data Types
Binary, boolean,  Currency,  date time, decimal, integer, String , Variant.


In crude language DAX is an advanced version of Excel formulas.
DAX contains similar formulas as in Excel. With dax functions you can filter the data according to specific conditions as we do it with slicers and filter we do in excel.
In DAX data is stored in tabular format. 
There are two Primary calculation you can create using DAX 
1. Calculated column
It means formulas written in columns 

2. Measures 
Formulas written in the area below table.
A formula used to manipulate data is called a measures. 


Advice - I have worked in many automation projects and used Dax functions for past 3 years. While working don't limit your thought process to what you know think what you want i.e the final result. If you don't know the formula but you have a basic idea of the end result then you are on track just search on google and you will get the answers.



Labels:

Comments

Post a Comment

Popular posts from this blog

Why Every BI Professional Needs to Learn Agentic AI in 2026

Meta Description:  Agentic AI is transforming business intelligence. Learn why BI professionals must embrace autonomous AI agents to stay relevant — with practical examples, skills to build, and a BI Lead's honest perspective on the shift. Tags:   Agentic AI  ·  Business Intelligence  ·  Power BI  ·  AI Agents  ·  Data Analytics  ·  Future of BI  ·  Career Growth Let me be blunt: if you're a BI professional in 2025 and you haven't started paying attention to agentic AI, you're already behind. I'm not saying that to scare you. I'm saying it because I've spent over a decade building dashboards, tuning SQL queries, and wrangling Power BI data models — and nothing in my career has shifted the landscape as fast as agentic AI. Not self-service analytics. Not cloud migration. Not even the first wave of AI/ML. This is different. And here's why. What Exactly Is Agentic AI? Forget the chatbot hype for a second. Agentic AI refer...
Post a Comment
Read more

Rethinking Agentic AI

 # Rethinking AI Agents: Why Intelligence Beats Integration Every Time ## More Tools Won't Save a Thoughtless Agent Every week, another development team ships an AI agent loaded with integrations — web search, vector databases, code runners, calendar hooks, payment gateways. The demo looks impressive. The stakeholders nod. Then the agent hits its first real user in a messy, unpredictable situation, and the cracks appear fast. The uncomfortable truth? Most AI agents fail not because they lack access to information, but because nobody taught them how to *think* about it. The industry has quietly developed a bad habit: treating agent-building like a hardware upgrade. Slow processor? Add RAM. Agent underperforming? Add tools. This logic sounds reasonable until you realize that intelligence doesn't accumulate through connection counts. A library card doesn't make someone well-read. --- ## Competence Isn't a Plugin Here's a useful mental test. Imagine hiring someone for a...
Post a Comment
Read more

Quantum Computing

  Quantum computing is a new kind of computing that uses the laws of quantum physics to solve certain problems much faster than classical computers.  It doesn’t replace your laptop but can tackle very complex simulations, optimization, and cryptography‑style tasks that are intractable for ordinary machines.  *** ### What is quantum computing? Quantum computing is a computing paradigm that uses quantum‑mechanical phenomena—like superposition, entanglement, and interference—to represent and process information in new ways. Instead of classical bits (0 or 1), quantum computers use **qubits**, which can be in a mix of 0 and 1 at the same time, enabling parallel computation.  *** ### Classical bits vs. qubits - A **classical bit** is either 0 or 1; operations are deterministic and sequential.  - A **qubit** can be 0, 1, or any quantum “blend” of both, written as $$ \alpha|0\rangle + \beta|1\rangle $$, where $$ \alpha $$ and $$ \beta $$ are complex numbers capturing p...
Post a Comment
Read more