Post by account_disabled on Dec 11, 2023 8:21:53 GMT 1
In the part of doing Transformation Can be done in many ways by easily selecting and dragging what we want to do. For example, doing Transformation By using various formulas, the format of data is transformed into one format. to another format (such as conversion of date/time) or Aggregated data from multiple sources, etc.^^ Additionally, we can use various tools in Azure for data transformation. In a variety of ways, such as Using Azure Synapse Analytics, you can use SQL commands to transform data. Using Azure Databricks to create a Spark dataframe from the data we need and using the Spark API to transform the data. which is suitable for gathering information that we are (probably) familiar with That is Dataframe data .
4 Data Warehouse Once we have completed steps 1-3, we Whatsapp Number List will enter the data migration phase. (Transformation Data) from Azure Data Lake Storage Gen2 to SQL Database (now our database will be Azure Data Lake and SQL In the part of doing Transformation Can be done in many ways by easily selecting and dragging what we want to do. For example, doing Transformation By using various formulas, the format of data is transformed into one format. to another format (such as conversion of date/time) or Aggregated data from multiple sources, etc.^^ Additionally, we can use various tools in Azure for data transformation.
In a variety of ways, such as Using Azure Synapse Analytics, you can use SQL commands to transform data. Using Azure Databricks to create a Spark dataframe from the data we need and using the Spark API to transform the data. which is suitable for gathering information that we are (probably) familiar with That is Dataframe data ☜(ﾟヮﾟ☜) #4 Data Warehouse Once we have completed steps 1-3, we will enter the data migration phase. (Transformation Data) from Azure Data Lake Storage Gen2 to SQL Database (now our database will be Azure Data Lake and SQL
4 Data Warehouse Once we have completed steps 1-3, we Whatsapp Number List will enter the data migration phase. (Transformation Data) from Azure Data Lake Storage Gen2 to SQL Database (now our database will be Azure Data Lake and SQL In the part of doing Transformation Can be done in many ways by easily selecting and dragging what we want to do. For example, doing Transformation By using various formulas, the format of data is transformed into one format. to another format (such as conversion of date/time) or Aggregated data from multiple sources, etc.^^ Additionally, we can use various tools in Azure for data transformation.
In a variety of ways, such as Using Azure Synapse Analytics, you can use SQL commands to transform data. Using Azure Databricks to create a Spark dataframe from the data we need and using the Spark API to transform the data. which is suitable for gathering information that we are (probably) familiar with That is Dataframe data ☜(ﾟヮﾟ☜) #4 Data Warehouse Once we have completed steps 1-3, we will enter the data migration phase. (Transformation Data) from Azure Data Lake Storage Gen2 to SQL Database (now our database will be Azure Data Lake and SQL