Microsoft SQL Server Integration Services (SSIS) has become a widely used ETL software tool for integrating and transforming data, but IT teams managing SSIS ETL processes face new challenges as data volumes and velocity continue to rise.
SSIS ETL tools can be valuable in building Business Intelligence (BI) systems that provide critical insight, improved decision-making and essential support for day-to-day operations. SSIS ETL processes support the data warehouse structures that enable business intelligence by helping IT teams to Extract, Transform and Load data from source databases to new targets like data warehouses and data marts.
But with the growth of data and real-time data streams, IT teams have difficulty using ETL solutions like SSIS to retrieve, prepare and ingest all the data that business analytics require. Traditional ETL data processes typically run on a weekly or daily basis, transferring data in bulk from source to target. Faced with demands for ingestion of real-time data and vast data sets, SSIS ETL tools are far too time-consuming and unwieldy, and require too much manual coding for IT teams to manage.
Change Data Capture technology provides an alternative to ETL technology – a new approach that enables streaming of data from operational systems, minimizing bulk transfer and working with SSIS ETL tools to increase efficiency, deliver data on demand and substantially reduce IT operational costs.