Machine learning (ML), more than any other workflow, has imposed the most stress on modern data architectures. Its success is often contingent on the collaboration of polyglot data teams stitching together SQL- and Python-based pipelines to execute the many steps that take place from data ingestion to ML model inference.
As the Director of Demand Gen at ThoughtSpot, I’m responsible for optimizing our campaigns and every customer touchpoint. No biggie, right? I’m part of a lean marketing team at a high-growth company. We’re not in the business of generating leads – we’re about creating real demand for our products.
With the launch of our High Volume Agent connectors for Oracle databases, you'll see faster setup times and easier access to all your data sources.
More and more companies are migrating their enterprise resource planning (ERP) to the cloud. It relieves them of the burdens typically associated with installing and maintaining complex software systems, and it’s arguably more secure because it’s monitored 24/7 by dedicated experts. There is no question that cloud-based ERPs like NetSuite, Epicor, Microsoft Dynamics, and Oracle Cloud are gaining steam. Rolling out a new ERP system can be highly disruptive to your organization, though.