{"id":14119,"date":"2024-07-29T13:33:24","date_gmt":"2024-07-29T07:33:24","guid":{"rendered":"https:\/\/dtasiagroup.com\/?p=14119"},"modified":"2024-07-29T13:33:24","modified_gmt":"2024-07-29T07:33:24","slug":"what-is-dynamic-data-movement","status":"publish","type":"post","link":"https:\/\/dtasiagroup.com\/vi\/what-is-dynamic-data-movement\/","title":{"rendered":"What is dynamic data movement?"},"content":{"rendered":"

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Dynamic data movement involves replicating data from traditional RDBMS systems like Oracle to other databases such as MySQL, Azure SQL Database, Kafka, and PostgreSQL.<\/p>\n

Data is the lifeblood of your organization, containing crucial information that drives business operations. The data in your production databases is continuously changing due to factors like customer transactions, sales inquiries, price fluctuations, and purchasing trends. This dynamic data represents the activity that propels your business towards its goals.<\/p>\n

Today, a plethora of new techniques and technologies enable business analysts, marketing specialists, salespeople, data scientists, and CXOs to interpret and act on data effectively. However, to maximize data value, it’s essential to ensure real-time data movement between systems.<\/p>\n

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Understanding Data Movement<\/h3>\n

Data movement encompasses two key sub-markets:<\/p>\n

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  1. Database Replication<\/strong>: Ensures high availability, disaster recovery, and scalability.<\/li>\n
  2. Dynamic Data Movement<\/strong>: Involves the heterogeneous transfer of data between systems.<\/li>\n<\/ol>\n

    The core task of data movement is to enhance the value of data by quickly moving it to the right systems.<\/p>\n

    Traditionally, data replication has been used to achieve this. Replication involves updating copies of your data simultaneously in multiple locations. This process ensures that data is readily available to decision-makers and customers. It also provides high availability, disaster recovery, and scalability beyond the capabilities of a single database.<\/p>\n

    Most data replication scenarios involve homogeneous environments, such as replicating data from one Oracle database to another. This method is stable, traditional, and familiar.<\/p>\n

    However, as companies adopt open-source and NoSQL databases, there is a shift from homogeneous replication to dynamic data movement.<\/p>\n

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    What is Dynamic Data Movement?<\/h3>\n

    Dynamic data movement typically applies to heterogeneous contexts and utilizes change data capture (CDC) to transfer data between databases and other systems. It becomes crucial as organizations diversify from traditional enterprise systems like Oracle to new solutions such as MySQL, PostgreSQL, and Kafka. This shift supports common use cases like application integration, populating data lakes or warehouses, and running modern analytic applications.<\/p>\n

    For instance, in data warehousing, traditional ETL (extract, transform, load) processes are becoming outdated. Data integration requirements have evolved beyond ETL for several reasons:<\/p>\n

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    1. Increased Data Volume<\/strong>: The amount of data being processed continues to grow.<\/li>\n
    2. 24\/7 Operations<\/strong>: Reduced batch loading windows push towards near-real-time and event-driven data integration.<\/li>\n
    3. Multiple Database Platforms<\/strong>: The trend towards using diverse database platforms results in mismatched sources and targets.<\/li>\n<\/ol>\n

      As a result, the data movement market is expanding and overlapping with ETL. Analyst firm IDC categorizes the broader data products market into three groups:<\/p>\n

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      1. Data Intelligence<\/strong>: Focuses on data quality management.<\/li>\n
      2. Data Access<\/strong>: Involves connectors, data preparation, and lifecycle management.<\/li>\n
      3. Data Integration<\/strong>: Aims to speed up data delivery for decision-making, including dynamic data movement.<\/li>\n<\/ol>\n

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        Leveraging SharePlex™ for Data Movement<\/h3>\n

        SharePlex by Quest\u00ae simplifies replication across various use cases, ensuring data movement where your business needs it most:<\/p>\n