![]() ![]() For example, the TEMPORARY option within Oracle's CREATE TABLE syntax is equivalent to prefixing a table name with the # character in Azure Synapse. Other database elements from the source system, such as indexes and log files, usually aren't migrated because they might be unnecessary or implemented differently in the new environment. When you migrate tables between different environments, typically only the raw data and the metadata that describes it physically migrate. The following sections discuss the Oracle-specific options that need to be considered during a migration to Azure Synapse. ![]() SQL DDL commands CREATE TABLE and CREATE VIEW have standard core elements but are also used to define implementation-specific options. SQL Server Migration Assistant (SSMA) for Oracle can automate migration of Oracle databases, including in some cases functions and procedural code. Data Factory can process and transform data by using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning.Īzure also includes Azure Database Migration Services to help you plan and perform a migration from environments such as Oracle. ![]() You can use Data Factory to create and schedule data-driven workflows (pipelines) that ingest data from disparate data stores. This approach minimizes the performance hit on the existing Oracle environment, which may already be running close to capacity.Īzure Data Factory is a cloud-based data integration service that supports creating data-driven workflows in the cloud to orchestrate and automate data movement and data transformation. You can automate and orchestrate the migration process by using the capabilities of the Azure environment. Use Azure facilities to implement a metadata-driven migration As a result, you might find SQL differences during your migration that require workarounds in Azure Synapse. After the initial migration, you can then make changes within the Azure cloud environment to take advantage of its performance, elastic scalability, built-in features, and cost benefits.Īlthough the SQL language is standardized, individual vendors sometimes implement proprietary extensions. Although your migration plan might include a change in the underlying data model, such as a move from an Inmon model to a data vault, it makes sense to initially perform an as-is migration. Microsoft recommends moving your existing data model as-is to Azure to reduce risk, effort, and migration time. The combination of SQL and dimensional data models in Oracle simplifies migration to Azure Synapse because the SQL and basic data model concepts are transferable. The Oracle SQL Developer tool is capable of exporting data from Oracle tables in numerous formats, like Excel, SQL insert statements, SQL loader format, HTML, XML, PDF, TEXT, Fixed text, etc.Many existing Oracle installations are data warehouses that use a dimensional data model. One of the most popular tools for exporting data from Oracle is Oracle SQL Developer. Exporting Data from OracleĮxporting the existing data from Oracle is often one of the cheapest forms of migration, but it can involve more manual input and can be slower than using a migration tool. At this point, however, the migration capabilities of MySQL Workbench are still being developed into a complete migration solution for even the major commercial databases. MySQL Migration Toolkit was the package of choice originally, but this has been superseded by MySQL Workbench. Apart from the physical aspect from getting the data from one machine to another, or even a different geographical location, some of the more complex tasks are converting between different data types, stored procedures and simply incompatible differences that may occur between the two databases. The task of migrating a complete schema from one database to another is not always simple. ![]()
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