Data movement is a fundamental piece of a data engineer’s duties, and recently I’ve been thinking about the art of data movement. What are some of the most important pieces that a data engineer needs to think about when confronted with data ingestion? There is of course data exporting as well, and in that case, […]
2022-11-11
6,083 reads
2016-08-15
1,269 reads
One of the most certain ways of going wrong with any relational database is to get data conversion wrong. Implicit data conversion is a good feature for the expert but can cause a lot of trouble to the unwary. These boil down to seven ways of failing to get data conversion right. Rob Sheldon explains and gives sage advice on how to avoid the problems.
2015-04-20
7,337 reads
Most of the time, you do not have to worry about implicit conversion in SQL expressions, or when assigning a value to a column. Just occasionally, though, you'll find that data gets truncated, queries run slowly, or comparisons just seem plain wrong. Robert Sheldon explains why you sometimes need to be very careful if you mix data types when manipulating values.
2011-01-12
4,537 reads
Today many companies determine to publish their data on the Internet trying to expand their business and make their information more accessible. The IT industry proposes a wide range of original solutions for resolving data inconsistency problems that publishers inescapably face when exporting their data as they need to properly access, process and interchange large amounts of information mainly through the web.
2008-12-30
2,236 reads
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SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams n;See possible answers