SparkOscope helps Apache Spark developers take advantage of the job-level information available through the existing Spark Web UI; minimizes source code pollution; and extends the Spark Web UI with a palette of system-level metrics about the server, virtual machine or container related to each
The inability of lines of business to not serve requests because they have to wait for IT provisioning can lead to a proliferation of analytics silos that can cause a loss of control of data. See how the next big stage of analytics with integrated Apache Spark helps organizations understand the
Fintech products and innovative banking business models are creating a disruption upheaval in the global banking industry. Discover how retail banking can redefine business and operating models by offering innovative customer propositions through implementation of a big data–enabled recommendation
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
Attend IBM Insight at World of Watson 2016 to explore the ways in which predictive analytics is helping modern businesses gain and retain the competitive advantage in their industries. To learn more, review these highlights from a CrowdChat in which industry experts discussed the central role of
Historical application of vector mathematics and the study of unstructured text data can be an important approach to understanding and actualizing the value of data. See how mathematical exploration of text data can unearth insight that translates into enhanced decision making.
Advances in tools and the capability to work with cloud-based data sets are dramatically changing the nature of data science workloads. Take a look at one data scientist’s quest to learn more about performing data science analysis in the cloud.
Hear from Nancy Hensley, director of offering management for IBM Analytics who speaks with Rob Thomas, VP of development for analytics on the subject of business transformation and a discussion of the data maturity curve.
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.
IBM Insight at World of Watson 2016 affords a great opportunity for you to gain insight into the CDO, CIO and CTO roles. Here are some highlights from a recent CrowdChat involving industry influencers discussing the challenges and opportunities that these C-level executives face in the cognitive
In this video, released at the IBM DataFirst launch event, discover how seamless integration of IBM Project DataWorks, along with existing Bluemix-based services, can help data scientists, business analysts, data engineers and application developers engage in collaborative work efforts.
Despite big data’s hype, a significant number of organizations are still in a holding pattern—either locked in planning, hesitant to get started or wanting to avoid Apache Hadoop and Apache Spark projects. Complexity and a shortage of skills can exacerbate the situation. Increasingly, organizations