Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Difference between DISTINCT and VALUES in DAX | 1 | — | 0 | 2 | 2 100% |
| https://www.sqlbi.com/tools/vertipaq-analyzer/ | 1 | — | 0 | 1 | 0 0% |
| Row Context and Filter Context in DAX | 1 | — | 0 | 1 | 0 0% |
| Creating a slicer that filters multiple columns in Power BI | 1 | — | 0 | 3 | 3 100% |
| Introducing ALLSELECTED in DAX - SQLBI | 1 | — | 0 | 3 | 0 0% |
| ALLSELECTED best practices | 1 | — | 0 | 1 | 1 100% |
| Marco Russo and Alberto Ferrari take advantage of object-level security | 1 | — | 0 | 1 | 1 100% |
| Correct calculate of age in DAX from birthday | 1 | — | 0 | 1 | 1 100% |
| Choosing Numeric Data Types in DAX - SQLBI | 1 | — | 0 | 1 | 0 0% |
| Implement Non Visual Totals with Power BI security roles | 1 | — | 0 | 1 | 1 100% |
| “What has happened in the DAX world in 2019” | 1 | — | 0 | 1 | 1 100% |
| Context Transition | 1 | — | 0 | 28 | 28 100% |
| The definitive guide to ALLSELECTED - SQLBI | 1 | — | 0 | 1 | 0 0% |
| Alberto Ferrari explains why you might want to use MAX() instead of LASTDATE() to find the latest date in a table with DAX | 1 | — | 0 | 1 | 1 100% |
| Filtering the top products alongside the other products in Power BI | 1 | — | 0 | 1 | 1 100% |
| SQLBI Data Viz Best Practices | 1 | — | 0 | 1 | 1 100% |
| Creating a simple date table in DAX - SQLBI | 1 | — | 0 | 2 | 0 0% |
| FILTER vs CALCULATETABLE: optimization using cardinality estimation | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com/articles/time-intelligence-in-power-bi-desktop/ | 1 | — | 0 | 5 | 0 0% |
| Creating a simple date table in DAX | 1 | — | 0 | 3 | 3 100% |
| Analyzing the performance of DISTINCTCOUNT in DAX - SQLBI | 1 | — | 0 | 1 | 1 100% |
| Using GENERATE and ROW instead of ADDCOLUMNS in DAX – SQLBI | 1 | — | 0 | 1 | 1 100% |
| Building bullet charts in Power BI reports | 1 | — | 0 | 1 | 1 100% |
| Analyze in Excel for Power BI Desktop | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com/articles/calculated-columns-and-measures-in-dax/#:~:text=A%20measure%20is%20ev... | 1 | — | 0 | 1 | 0 0% |
| https://www.sqlbi.com/articles/using-calculation-groups-to-selectively-replace-measures-in-dax-expre... | 1 | — | 0 | 2 | 0 0% |
| Row context | 1 | — | 0 | 1 | 1 100% |
| Computing the future value of an investment based on compound growth in DAX | 1 | — | 0 | 1 | 1 100% |
| Understanding blank row and limited relationships | 1 | — | 0 | 3 | 3 100% |
| https://www.sqlbi.com/articles/filtering-and-comparing-different-time-periods-with-power-bi/ | 1 | — | 0 | 1 | 0 0% |
| an additional blank row | 1 | — | 0 | 2 | 2 100% |
| Marco Russo and Alberto Ferrari’s ebook | 1 | — | 0 | 1 | 1 100% |
| Loadingwww.sqlbi.com | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com | 1 | — | 0 | 1 | 1 100% |
| Controlling Format Strings in Calculation Groups | 1 | — | 0 | 2 | 2 100% |
| Introducing RANKX in DAX | 1 | — | 0 | 1 | 1 100% |
| Explore the original post | 1 | — | 0 | 1 | 1 100% |
| https://www.sqlbi.com/articles/using-allexcept-versus-all-and-values/ | 1 | — | 0 | 3 | 0 0% |
| alternative calculations in DAX | 1 | — | 0 | 1 | 1 100% |
| Filter context | 1 | — | 0 | 1 | 1 100% |
| Finding products without sales by using DAX | 1 | — | 0 | 2 | 2 100% |
| Optimizing nested iterators in DAX | 1 | — | 0 | 1 | 0 0% |
| Using CONTAINS in DAX | 1 | — | 0 | 1 | 1 100% |
| Avoiding circular dependency errors in DAX | 1 | — | 0 | 2 | 2 100% |
| 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.