Migrating data between different types of databases is not a trivial task. In this article, we will compare several ways of converting from SQL Server to PostgreSQL.
Migrating data between different types of databases is not a trivial task. In this article, we will compare several ways of converting from SQL Server to PostgreSQL.
Microsoft SQL Server is a great database engine, but it has drawbacks in some cases.
Free Microsoft SQL Server Express can be used successfully for small databases.
For large databases, you may need to get the paid version of the MSSQL Server, starting with the Standard edition license. The cost of the SQL Server depends on the number of users and the size of the database.
If you can’t even afford a standard SQL Server license, PostgreSQL is an alternative.
PostgreSQL is completely free, so the license cost is the main advantage of PostgreSQL over Microsoft SQL Server.
Let’s uncover practical details of Pandas’s Series, DataFrame, and Panel. Pandas is a column-oriented data analysis API. It’s a great tool for handling and analyzing input data.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.
A data lake is totally different from a data warehouse in terms of structure and function. Here is a truly quick explanation of "Data Lake vs Data Warehouse".
Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories.