By Sharanmeet Singh • September 14, 2025
Hidden spaces and characters often cause errors. LEN, TRIM, and CLEAN help fix them.
Insights, tips, and news about AI formula generation, database queries, and productivity tools.
By Sharanmeet Singh • September 14, 2025
Hidden spaces and characters often cause errors. LEN, TRIM, and CLEAN help fix them.
By Sharanmeet Singh • September 14, 2025
SUMPRODUCT is powerful for conditional sums and weighted averages, but many ignore it.
Standard, custom, and language analyzers explained
By Sharanmeet Singh • September 14, 2025
Analyzers break down text into tokens. Choosing the right analyzer makes or breaks your search relevance.
Dynamic vs explicit mappings and why it matters
By Sharanmeet Singh • September 14, 2025
Mappings define how documents are indexed. Relying too much on dynamic mapping can cause major problems later.
Boosted queries vs cached filters
By Sharanmeet Singh • September 14, 2025
Filters are fast and cached, while queries score documents. Mixing them up leads to wrong results or slow searches.
Grouping and summarizing data with terms and date histograms
By Sharanmeet Singh • September 14, 2025
Aggregations turn Elasticsearch into an analytics engine. Terms and Date Histograms are the most commonly used but often misapplied.
When to use full-text match vs exact term filters
By Sharanmeet Singh • September 14, 2025
Match queries analyze text, while term queries look for exact values. Many developers misuse them—let’s clear it up.
By Sharanmeet Singh • September 14, 2025
NULLs in SQL behave differently from normal values. Learn the right way to check them.
By Sharanmeet Singh • September 14, 2025
Window functions like ROW_NUMBER and RANK are powerful tools for analytics queries.
Make queries readable with WITH
By Sharanmeet Singh • September 14, 2025
CTEs let you break down complex queries into smaller, more readable parts. Here’s how to use them.
Why HAVING is different from WHERE
By Sharanmeet Singh • September 14, 2025
GROUP BY is used to aggregate rows, and HAVING lets you filter those groups. Learn how they work together.
When to use INNER JOIN vs LEFT JOIN
By Sharanmeet Singh • September 14, 2025
INNER JOIN and LEFT JOIN are among the most used SQL queries but are often misunderstood. Learn the difference with examples.
When should you embed documents vs reference them?
By Sharanmeet Singh • September 14, 2025
One of the hardest MongoDB design decisions: embed or reference. Here’s how to decide.
Indexes speed up queries, but can backfire if used wrong
By Sharanmeet Singh • September 14, 2025
Many MongoDB users misuse indexes. Learn the common mistakes and how to fix them.
How to sum, count, and average data in MongoDB
By Sharanmeet Singh • September 14, 2025
Learn how to use $group for aggregations like SUM, COUNT, and AVG in MongoDB.
By Sharanmeet Singh • September 14, 2025
Joins in MongoDB are done using $lookup. Here’s how it works with examples.
Two key aggregation stages that beginners often confuse
By Sharanmeet Singh • September 14, 2025
Learn the difference between filtering data with $match and shaping output with $project in MongoDB.
One of the most common Excel errors is numbers stored as text.
By Sharanmeet Singh • September 14, 2025
Have you seen numbers in Excel that won’t sum? They might be stored as text. Learn how TEXT and VALUE can save you.
Most people overcomplicate IF statements—here’s the clean way.
By Sharanmeet Singh • September 14, 2025
Combining IF with AND/OR in Excel can be tricky. This guide shows simple patterns for everyday use cases.
Why INDEX MATCH is often better than VLOOKUP
By Sharanmeet Singh • September 14, 2025
VLOOKUP is one of the most used Excel formulas, but it often breaks in real-world use. Learn when to use INDEX MATCH instead.