A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.
With IBM Analytics for Apache Spark, we handle the complexity and the heavy lifting of Spark administration, which means you can iterate faster and use more of your time to focus on developing models and testing hypotheses.
An easy-to-use, reliable and open managed Spark service — that’s built native to the cloud — is critical if you need the most extensible and flexible analytics and development environment possible.
There are five pre-configured instance sizes, ranging from small to xx-large, with increasing memory, disk and CPU power to fit any workload and monthly budget.
IBM Analytics for Apache Spark is backed by IBM’s commitment to open source and leadership around Apache Spark, which means the service is managed by experts 24/7, giving and you have more time to focus on analytics delivery and innovation.
Sensitel’s SENS platform uses the Internet of Things (IoT) and facial recognition technology so retailers can track shoppers’ locations. That way, they can send staff mobile notifications to better assist customers.
Analyze your data where it resides — in the cloud — with a fully managed columnar data warehouse service. Leverage in-database predictive analytics and massively parallel processing (MPP) to do more with your data.