Data Analytics

Explore the most complete, integrated set of data and analytics services available

Digital Analytics powered by Watson and the IBM Cloud

Anyone who has walked alongside the pristine fairways and blooming azaleas at Augusta National in early April will tell you the Masters Tournament is unlike any other event in professional sports. The mission of the Masters Digital team is to share this unique experience with the millions of golf fans who are not able to attend. Enabled by IBM as the official IT partner, the team brings new features each year to its digital platforms in hopes of delighting golf fans around the world.

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Get Started with Streaming Analytics + Message Hub

Message Hub provides a simple communication mechanism built on Apache Kafka, enabling communication between loosely coupled Bluemix services. This article shows how to communicate with Message Hub from the Streaming Analytics Bluemix service using the messaging toolkit.

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IBM Analytics Engine is now available in the London DC

The IBM Analytics Engine team is excited to announce the General Availability (GA) of IBM Analytics Engine, the next generation of IBM’s Apache Spark and Apache Hadoop cloud service in the London DC.

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Introducing IBM Cloud SQL Query

We are excited to announce that SQL Query is now publicly available in the IBM Cloud as a beta service. SQL Query supports using standard ANSI SQL to analyze CSV, Parquet, and JSON files stored in IBM Cloud Object Storage.

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IBM Cloud Object Storage simplifies and accelerates getting data to the cloud

By 2019, about 60 percent of all enterprise workloads will be in the cloud, according to 451 Research. Only 45 percent of workloads are in the cloud now1. As this transition to cloud continues to grow, speed is an increasingly important factor for companies staying on top of their data.

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A predictive Machine Learning model from Build to Retrain

This post is an excerpt from our solution tutorial that walks you through the process of building a predictive machine learning model, deploying it as an API to be used in applications, testing the model and retraining the model with feedback data. All of this happening in an integrated and unified self-service experience on IBM Cloud.

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Think fast with IBM Streaming Analytics

Learn how IBM clients are moving from batch analytics to real-time streams at Think 2018

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Putting the engine to work: how IBM Analytics Engine can help you harness Hadoop and Spark for business benefit

For many companies, the potential of big data analytics may seem both exciting and overwhelming. Technologies like Hadoop and Spark promise to unearth new sources of value from the vast mountains of unstructured data your business generates every day. The newfound opportunity to get insight from data that has been dormant for years could act as an energy source to power the next phase of business growth.

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Keep your streams flowing

Sign up for the new beta of IBM® Streaming Analytics to increase availability, boost performance and simplify scalability for high-speed data-flows

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