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DOWNLOAD SAMPLE SSIS PACKAGE DRIVERS
SQL Server Reporting Services (SSRS) is used for reports and dashboards, and can be used to generate reports directly from Google BigQuery using the BigQuery Simba ODBC drivers (32-bit and 64-bit). Using SQL Server Reporting Services (SSRS) with Google BigQuery
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The Data Validation Tool provides an automated and repeatable solution to perform this task. data and schema migration, SQL script translation, ETL migration, etc.). The Data Validation Tool (DVT) is an open sourced Python CLI tool based on the Ibis framework that compares heterogeneous data source tables with multi-leveled validation functions.ĭata validation is a critical step in a Data Warehouse, Database or Data Lake migration project, where structured or semi-structured data from both the source and the destination tables are compared to ensure they are matched and correct after each migration step (e.g. To support data QA and validation, the GCP professional services Data Validation Tool (DVT) can be used to automate testing and data validation, for example, comparing table row counts and column data distributions between the EDW and BigQuery databases.
DOWNLOAD SAMPLE SSIS PACKAGE CODE
These steps contain specific business rules, logic and C# code that at this time makes sense to keep in SSIS rather than to move into BigQuery. Note that there are two intermediate steps, Data Transformations and Data Mappings. A common simplified pattern is featured below, where data is extracted from an OLTP system (source) and written to a Data Warehouse (target). SQL Server Integration Services (SSIS) is used to move data between source and target databases. Using SQL Server Integration Services (SSIS) with BigQuery The following blog details patterns and examples on how Data teams can use SSIS and SSRS with BigQuery. Data teams who are familiar with SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS) are able to continue to use these tools with BigQuery, allowing them to modernize ETL pipelines and BI platforms after an initial data migration is complete. After migrating a Data Warehouse to Google Cloud BigQuery, ETL and Business Intelligence developers are often tasked with upgrading and enhancing data pipelines, reports and dashboards.