mapping is an essential part of many data management processes. If not properly mapped, data may become corrupted as it moves to its destination. Quality in data mapping is key in getting the most out of your d
In its essence, data mapping is about resolving potential issues. Creating a data mapping specification like this requires discovering and resolving potential issues prior to the mapping being implemented. You don’t want to get to the point where you’re trying to move the actual data between s...
Data integration is the process of combining data from multiple source systems to create unified sets of information for both operational and analytical uses. It's one of the core elements of theoverall data management process-- the main objective of data integration is to produce consolidated data...
Data migration ensures that data is successfully and securely transferred to another application, storage system or cloud. Although moving data from one platform to another can be risky and costly, it also provides an organization with numerous benefits. For example, in addition to upgrading applicati...
Support for mapping of DATE type from Oracle to the SQL Server DATE type in the Type Mapping setting Support for table partition added for Azure SQL Database targets with all table partition mapped to primary filegroup New optionAllow Statements from Files, for adding statements from file system...
The logic for change data capture process is embedded in the stored procedure sp_replcmds, an internal server function built as part of sqlservr.exe and also used by transactional replication to harvest changes from the transaction log. In SQL Server and Azure SQL Managed Instance, w...
Learn about the changes, improvements, and updates in the SQL Server 2019 release of Master Data Services.
Support in SSMA command line to alter Data Type mapping and Project Preferences. Support for migrating data using SQL Server Integration Services (SSIS). After converting the schema, it's possible to create an SSIS package by using a right-click context menu option. The Azure SQL Database conn...
Data extraction: Next, data is extracted from the identified sources using extraction tools or processes, which might involve querying databases, pulling files from remote locations or retrieving data through APIs. Data mapping: Different data sources may use different terminologies, codes or structures...
Data mining is the use of machine learning and statistical analysis to uncover patterns and other valuable information from large data sets.