Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Using EXPAND and COLLAPSE in visual calculations | 1 | — | 0 | 3 | 3 100% |
| Differences between ALL and ALLCROSSFILTERED | 1 | — | 0 | 2 | 2 100% |
| Row Context | 1 | — | 0 | 1 | 1 100% |
| From SQL to DAX: Filtering Data | 1 | — | 0 | 1 | 1 100% |
| Alberto Ferrari explains why you have to mark a date table as such in Power BI | 1 | — | 0 | 1 | 1 100% |
| Introducing Calculation Groups | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com/blog/marco/2016/02/15/groupby-vs-summarize-in-dax-powerbi-powerpivot/ | 1 | — | 0 | 1 | 0 0% |
| SQLBI: Blank and Zero | 1 | — | 0 | 1 | 1 100% |
| Creating table functions in DAX using DETAILROWS | 1 | — | 0 | 4 | 4 100% |
| https://www.sqlbi.com/author/marco-russo/ | 1 | — | 0 | 2 | 2 100% |
| Changing the culture of a Power BI Desktop file | 1 | — | 0 | 3 | 0 0% |
| Applying a measure filter in Power BI - SQLBI | 1 | — | 0 | 1 | 0 0% |
| Displaying Nth Element in DAX | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com/ref/power-bi-visuals-reference | 1 | — | 0 | 1 | 1 100% |
| Using field parameters and calculation groups for conditional formatting | 1 | — | 0 | 2 | 2 100% |
| в статье | 1 | — | 0 | 10 | 10 100% |
| Why data modeling is important in Power BI | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com/tools/dax-studio/ | 1 | — | 0 | 1 | 0 0% |
| Choosing Numeric Data Types in DAX | 1 | — | 0 | 2 | 2 100% |
| Filtering the top products alongside the other products in Power BI – SQLBI | 1 | — | 0 | 1 | 1 100% |
| DAX optimization examples | 1 | — | 0 | 2 | 2 100% |
| Differences between DATEADD and PARALLELPERIOD in DAX | 1 | — | 0 | 15 | 15 100% |
| Introducing ALLSELECTED in DAX - SQLBI | 1 | — | 0 | 3 | 0 0% |
| ALLSELECTED best practices | 1 | — | 0 | 1 | 1 100% |
| An Article from Marco Russo on Calculating Age | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com/blog/marco/2026/01/24/fixing-the-black-icons-issue-in-power-bi-desktop-underst... | 1 | — | 0 | 1 | 0 0% |
| Marco Russo and Alberto Ferrari play the accordion | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com/articles/bidirectional-relationships-and-ambiguity-in-dax/ | 1 | — | 0 | 3 | 0 0% |
| Hiding future dates for calculations in DAX - SQLBI | 1 | — | 0 | 1 | 0 0% |
| Optimizing DAX expressions involving multiple measures | 1 | — | 0 | 1 | 0 0% |
| SQLBI: Time Intelligence in DAX | 1 | — | 0 | 2 | 2 100% |
| https://www.sqlbi.com/articles/table-and-column-references-using-dax-variables/ | 1 | — | 0 | 1 | 0 0% |
| Using weekly calendars in Power BI | 1 | — | 0 | 3 | 3 100% |
| Introducing dynamic format strings for DAX measures | 1 | — | 0 | 2 | 2 100% |
| Creating a simple date table in DAX - SQLBI | 1 | — | 0 | 2 | 0 0% |
| Alternative use of FIRSTNONBLANK and LASTNONBLANK | 1 | — | 0 | 1 | 1 100% |
| How To Create A Pivot Table In Power Bi Matttroy | 1 | — | 0 | 1 | 1 100% |
| Understanding apply semantics for window functions in DAX | 1 | — | 0 | 2 | 2 100% |
| using ADDCOLUMNS for instance | 1 | — | 0 | 1 | 1 100% |
| Reference Date Table in DAX and Power BI | 1 | — | 0 | 1 | 1 100% |
| Filtering the Top 3 products for each category in Power BI | 1 | — | 0 | 4 | 4 100% |
| ไฟล์ประกอบของเค้า | 1 | — | 0 | 1 | 1 100% |
| http://www.sqlbi.com/articles/best-practices-using-summarize-and-addcolumns/ | 1 | — | 0 | 1 | 0 0% |
| 1 | — | 0 | 1 | 0 0% | |
| Marco Russo and Alberto Ferrari want to see zeroes in specific circumstances | 1 | — | 0 | 1 | 1 100% |
| lineage | 1 | — | 0 | 2 | 2 100% |
| Comparing different school terms in Power BI | 1 | — | 0 | 1 | 1 100% |
| Calculation Groups | 1 | — | 0 | 1 | 1 100% |
| Analyzing the performance of DISTINCTCOUNT in DAX | 1 | — | 0 | 2 | 2 100% |
| Introducing CALCULATE in DAX - SQLBI | 1 | — | 0 | 1 | 0 0% |
Frequently Asked Questions
What anchor texts are used to link to sqlbi.com?
This page shows all anchor texts found in backlinks pointing to sqlbi.com, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe sqlbi.com.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does sqlbi.com have?
The anchor text report for sqlbi.com displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.