WebJan 8, 2024 · Other Data Warehouse Best Practices Metadata management – Documenting the metadata related to all the source tables, staging tables, and derived tables are... Logging – Logging is another aspect … WebFeb 28, 2024 · Data Profiling Best Practices There are three distinct components: Structure Discovery – it helps to determine if data is consistent and has been formatted correctly. It uses basic statistics for information about data validity. Content Discovery – data is formatted, standardized, and correctly integrated with existing data efficiently and on time.
Top 8 Best Practices for High-Performance ETL Processing Using Amazon ...
WebJan 15, 2024 · Data Warehousing on AWS. PDF RSS. Publication date: January 15, 2024 ( Document history and contributors) Enterprises across the globe want to migrate data warehousing to the cloud to improve performance and lower costs. This whitepaper discusses a modern approach to analytics and data warehousing architecture. WebCertified in SAP BI. Experience in Tableau, Google Analytics, Redshift, SQL Server, SAP BI/BW and Data Warehouse. Solid experience in … grant thornton illustrative accounts
How to Balance Trigger Performance and Functionality
WebApr 10, 2024 · The dimensional modeling technique is a specialized technique for data warehouse modeling and design. It uses facts, dimensions, measures, and hierarchies to represent the data and the analysis. WebCurrently using the main cloud data tools, such as Azure Data Lake, Azure Data Factory and Databricks with Python, PySpark, SQL languages, working with good data storage practices in layers (Data Lake) and codes (GitHub/Azure Repos ) and providing documentation and best practices for code development. WebThese data quality best practices will help make sure your data stays on the right track: Get buy-in and make data quality an enterprise-wide priority Establish metrics Investigate data quality failures Invest in internal training Establish data governance guidelines Establish a data auditing process Assign a data steward in every department grant thornton i element