Technique #1: How to find duplicate values in SQL table Identifying duplicate values in a database is essential for maintaining data integrity and accuracy. To find duplicate values in an SQL table, you can utilize the “GROUP BY” and “HAVING” clauses along with aggregate functions. This...
Virtual log file growth In previous versions of SQL Server, if the next growth is more than 1/8 of the current log size, and the growth is less than 64 MB, four VLFs were created. In SQL Server 2022 (16.x), this behavior is slightly different. Only one VLF is created if the grow...
HAVING—The HAVING clause filters the result of aggregate functions in grouped information. It is similar to the WHERE clause in that the HAVING keyword is followed by an expression that evaluates to true, false, or unknown. You can test the expression by using standard comparison operators, Boo...
Many NoSQL databases are oriented toward aggregates—a collection of data that you interact with as a unit. This makes them a much more natural fit for modern, object-oriented programming languages. When choosing a NoSQL DB, you’ll probably want to start by choosing a data model—and then...
Approximate query processing with APPROX_COUNT_DISTINCT For scenarios when absolute precision isn't important but responsiveness is critical, APPROX_COUNT_DISTINCT aggregates across large datasets while using fewer resources than COUNT(DISTINCT()) for superior concurrency. See Approximate query processing.I...
Big data helps you identify patterns in data that indicate fraud and aggregate large volumes of information to make regulatory reporting much faster. 4. Manufacturing. Factors that can predict mechanical failures may be deeply buried in structured data—think the year, make, and model of equipment...
3. Financial services.When it comes to security, it’s not just a few rogue attackers—you’re up against entire expert teams. Security landscapes and compliance requirements are constantly evolving. Big data helps you identify patterns in data that indicate fraud and aggregate large volumes of ...
Window functions come in two flavors: SQL aggregate functions used as window functions and specialized window functions. This is the set of aggregate functions in MySQL that support windowing:COUNT,SUM,AVG,MIN,MAX,BIT_OR,BIT_AND,BIT_XOR,STDDEV_POP(and its synonymsSTD,STDDEV),STDDEV_SAMP,VAR_...
With flexible schemas and hierarchical data, NoSQL is well-suited for storing product catalog data where diverse products have different attributes. Engage gamers with new content Deliver personalized experiences with content like in-game stats, social media integration, and leaderboards. Low latency and...
Data ingestion can aggregate data from multiple sources. Learn how businesses use it and how it differs from the extract, transform and load (ETL) process.