SQL Server Integration Services (SSIS) is the integration and ETL (extract – transform – load) tool in the Microsoft Data Platform stack. SSIS is typically used in data warehousing scenarios, but can also be used in common data integration use cases or just to move data around. SSIS is used behind the scenes in the Maintenance Plans of SQL Server and in the Import/Export wizard.
Steve Jones talks about learning, teaching, and the need to not waste anyone's time.
There are several obvious problems with poor SQL Coding habits. It can make code difficult to maintain, or can confuse your team colleagues. It can make refactoring a chore or make testing difficult. The most serious problem is poor performance. You can write SQL that looks beautiful but performs sluggishly, or interferes with other threads. A busy database developer adopts good habits so as to avoid staring at execution plans. Rob Sheldon gives some examples.
Steve Jones notes that we often solve problems better the second time around.
Azure Data Factory is a cloud based data integration service. This helps you to define, schedule and manage data pipelines to transfer and transform the data from disparate on premise and cloud data sources. Read on to learn more.
In this article we will learn to use Data Factory to import table from SQL Server to Azure SQL Data Warehouse.
Microsoft (StreamInsight), and Azure Stream Analytics represent a very different model for processing data. They are concerned with processing complex event streams of data (CEPs) from such things as sensors to deduce significant patterns and apply filters. Joe Celko discusses the background to an intriguing technology of complex event processing to establish the difference between data at rest, and data on the move.
Even the most elaborate team-based development methodology won't compensate for the blinkered attitudes and tribal cultures that come from over-specialization in IT.
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I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers