In today’s dynamic data landscape, it’s rare for companies to have consistent, predictable data volumes at all times. Instead, many companies see fluctuating peaks and lows throughout the year. DataStage is designed specifically to handle data volumes of all sizes, and can provide unlimited scalability by bursting compute when needed. For example, if retail companies experience higher data volumes during holiday seasons, DataStage can optimally manage resource allocation and spin up parallel workloads to handle these influxes. This way, users can proactively stay ahead of their data at all times.
As AI proliferates through each industry, companies have the opportunity to transition from implementing AI into their current operations to being AI-first. With the GA release of watsonx.data, you can now leverage a fit-for-purpose data store to manage and scale all AI workloads in an optimized and cost-efficient manner. To harness the full power of watsonx.data, utilize IBM’s premier data ingestion tool, DataStage, to seamlessly connect and integrate workloads. DataStage is purpose-built to handle data of all volumes and complexities, from any source, while providing a graphical and intuitive user interface. Stop wrangling through data integration challenges and doing the heavy lifting yourself; instead, start building the foundation for an AI-first data architecture with DataStage and watsonx.data today.
Walk through the steps to ingest your workloads into watsonx.data using DataStage
Join us on July 26 and 27 for a four part Data Integration webinar series discussing watsonx.data and DataStage, as well as other Data Integration top trends.
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