{"id":2385,"date":"2025-09-30T15:47:33","date_gmt":"2025-09-30T19:47:33","guid":{"rendered":"https:\/\/www.softwareag.com\/?post_type=resource&p=2385"},"modified":"2026-05-25T09:17:45","modified_gmt":"2026-05-25T13:17:45","slug":"data-movement","status":"publish","type":"resource","link":"https:\/\/www.softwareag.com\/en\/resources\/data-movement\/data-movement\/","title":{"rendered":"Data Movement"},"content":{"rendered":"\n

What is data movement?<\/h2>\n\n\n\n

Data movement is the ability to move data from one place in your organization to another through technologies that include extract, transformation, load (ETL), extract, load, transform (ELT), data replication, and change data capture (CDC), primarily for the purposes of data migration and data warehousing.<\/p>\n\n\n\n

Your organization’s IT infrastructure and application landscape are continually evolving, and your applications require data from a range of databases. This means you need efficient, secure data movement solutions to move data across your systems without affecting your sources’ performance.<\/p>\n\n\n\n

Data movement, data synchronization, and data replication are complementary methods of data integration. Together, they enable you to deliver fresh data to keep your databases, data warehouse, big data, and cloud systems up to date.<\/p>\n\n\n\n

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Types of data movement tools<\/h2>\n\n\n\n

Replication<\/strong>
Offers a dependable, low-impact method of creating an accurate and up-to-date copy of your single- or multiple-source data, which can be deployed to any person who needs access to it, from wherever and whenever they work. You can stay in control of replicated databases with flexible configurations of archiving and retention rules, data relocation, and storage. Your data remains accessible through the original application or through any analytics tools you have in place.<\/p>\n\n\n\n

Database Synchronization Techniques<\/strong>
Enables you to keep your replicated data fresh, so your users and applications work from the best information you can provide. You can update replicated databases with either a batch-oriented (pull) or real-time (push) configuration. For many relational databases, you can synchronize new data instantly with a capability called change data capture.<\/p>\n\n\n\n

Why move data?<\/strong>
Comprehensive data movement and transformation capabilities are essential for modernizing and extending your IT portfolio.\u00a0You may need data movement tools, for example, to move data from your legacy systems and platforms to cloud databases. ELT is a data integration process that combines data from multiple sources in a single data store. This capability is valuable for meeting hybrid integration requirements, such as connecting and transforming legacy data sources into a data warehouse environment or moving data from transactional databases to a big data or data lake environment.<\/p>\n\n\n\n

Use cases include:<\/h3>\n\n\n\n

Database replication<\/strong>
Replicate a database for disaster recovery, faster analytics at multiple locations, and more efficient use of distributed resources.<\/p>\n\n\n\n

Cloud data warehousing<\/strong>
Gain confidence that your data warehouse contains the most up-to-date information across your organization, including legacy databases and platforms, while minimizing impact on the uptime and performance of the underlying systems. Move data to cloud databases, such as MySQL to Microsoft\u00ae Azure\u00ae SQL Database, Oracle to Amazon\u00ae AWS RDS, or SQL Server\u00ae to Amazon REDSHIFT\u00ae. Extend ETL capabilities to connect and transform legacy data sources to a data warehouse environment, such as OpenVMS\u00ae Rdb to Teradata\u00ae.<\/p>\n\n\n\n

Hybrid data movement<\/strong>
Master data movement between on-premises systems and cloud services to balance innovation, performance, and business continuity. Move on-premises data to the cloud to generate insights and benefit from on-demand elastic services. Move data from cloud applications to the mainframe for accurate, complete data in your system of record.<\/p>\n\n\n\n

Cloud data lakes<\/strong>
Use a data movement solution to shift data from transactional databases, such as Adabas, VSAM, or IMS, to a big data or data lake environment, such as Hadoop\u00ae, Snowflake\u00ae, AWS, and Azure\u00ae.<\/p>\n\n\n\n

Data archiving<\/strong>
Schedule archives for your core data to proactively manage database growth and keep your systems running at peak performance. Boost compliance with regulatory guidelines for data capture to enable traceability and future audits.<\/p>\n\n\n\n

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Benefits of data movement using CONNX<\/h2>\n\n\n\n

Integrate all your data sources<\/strong><\/p>\n\n\n\n

Move, replicate, and synchronize data from a wide spectrum of databases (legacy, relational, big data, and cloud) residing on platforms such as mainframe, OpenVMS, iSeries (AS\/400), UNIX\u00ae, Linux\u00ae, Windows\u00ae, and the desktop. CONNX offers\u00a0150+ database adapters, the industry’s largest range, to deliver standard SQL connectivity. Connect to any ODBC, OLE DB, JDBC\u00ae, J2EE\u00ae, or .NET\u00ae compliant application, report writer, or development tool.<\/p>\n\n\n\n

Move data seamlessly<\/strong>
Use the CONNX data movement solution to synchronize your cloud-based data warehouse with legacy and non-relational data sources such as Adabas, VSAMTM, IMS, Rdb, and RMS in an easy, standardized way without disrupting operations.<\/p>\n\n\n\n

Replicate in real time<\/strong>
Share event-driven data leveraging CDC technology. Capture, transform, and replicate data from a selection of sources to multiple target data systems (such as databases, data warehouses, big data, cloud, and digital platforms). Keep your data movement efficient by incrementally updating only the records that have changed.<\/p>\n\n\n\n

Synchronize efficiently<\/strong>
Transformation settings give full control of scheduling incremental or full data movements, launching pre- or post-sync tasks, and setting up automatic email event notifications. You can scale your synchronization tasks based on demand, such as scheduling updates for low-use periods, or as frequently as every minute when your business requires more up-to-date information. For example, add CONNX to Microsoft\u00ae SSIS to gain advanced SQL Server\u00ae support and easily harvest changed data in the SQL Server database for efficient incremental updates.<\/p>\n\n\n\n

Comprehensive transformation and ETL<\/strong>
SQL-based transformation with a graphical query builder allows comprehensive mappings of tables and fields. A library of more than 500 transformation functions provides many ways to map the value of a field, including abilities for complex transformations such as filtering, sorting, joins, unions, and aggregations.<\/p>\n\n\n\n

Stay in control<\/strong>
CONNX data replication solutions put you in complete control with flexible configurations of archiving and retention rules, data relocation, and storage. Your data remains accessible through the original application or through any analytics tools you have in place.<\/p>\n\n\n\n

Secure access<\/strong>
CONNX Security is ideally suited to handle cross-platform security issues by managing multiple database logins and securing access to data across systems.<\/p>\n\n\n\n

Manage metadata<\/strong>
Create a lexicon that combines all your data into a single, comprehensible structure without altering the source structures.<\/p>\n\n\n\n

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Take the next step<\/strong><\/h3>\n\n\n\n