In this method, you can convert your Oracle data to a CSV file using SQL plus and then transform it according to the compatibility. You then can stage the files in S3 and ultimately load them into Snowflake using the COPY command. This method can be time taking and can lead to data in...
Snowflake can query both structured and unstructured data using standard SQL. It delivers results of user queries spanning Gigabytes and Petabytes of data in seconds. Snowflake automatically harnesses thousands of CPU cores to quickly execute queries for you. You can even query streaming data from ...
MySQL Snowflake It is a traditional RDBMS. It is a cloud-based solution. It supports the horizontal scaling of resources. It supports both horizontal and vertical scaling. It uses standard SQL language with variations. It uses Snowflake SQL to query the underlying data. It is available on...
A data lake can hold everything in its natural format, making it versatile for various analytics tasks. On the other hand, a data warehouse like Snowflake is optimized for querying and reporting, offering fast answers to specific questions. Modern analytics tools integrate with these storage ...
Queries in Snowflake had to be performed on internal tables. This meant that all data - even for ad hoc queries - had to be moved to Snowflake. This resulted in both cost as well as the inability to query in a timely manner.
Our data source is an On-prem SQL Server, and it serves as our production database. Currently, we are building reports in Power BI and utilizing Snowflake as our data warehouse. I aim to extract 10 to 15 tables for my Power BI reporting into Snowflake, sp...
Execute the Snowflake query and fetch the results. Connect to SharePoint using a suitable API or library. Prepare the query results for upload by converting them to a compatible format (e.g., CSV, Excel, JSON). Upload the prepared data to the SharePoint folder usin...
Fixing issues in querying JSON columns Troubleshooting JSON column querying in PostgreSQL can involve identifying and addressing issues related to data integrity, query performance, and syntax errors. Troubleshooting JSON column querying in PostgreSQL often requires a combination of SQL knowledge, understandin...
Put yourself in the customer’s shoes An end-user reaches out to customer support, expressing discontent with a software feature that fails to meet their expectations. The software tester must convey the customer’s perspective to the development team and ensure the customer query is satisfied base...
Changes applied in the Power Query editor do not impact the original dataset. Power Query uses connectors as data sources. Somerecently updated connectors include: Snowflake Planview OKR BitSight Security Ratings Starburst Enterprise And others