On the heels of several key announcements to broaden the IBM Cloud Data Services portfolio, see how a wide range of technologies can be implemented in a cloud-based, data warehouse architecture to support operational and analytical workloads.
When migrating Hadoop clusters, whether on-premises or to the cloud, little is gained by a migration that puts a halt to production. By taking a transactional approach to data migration, companies can eliminate downtime without risking data loss, capitalizing on the migration process both during
An open ecosystem thrives on a mature core platform. It also depends on partnering arrangements that incentivize solution providers to continue developing standards-based interoperability around the shared environment. Take a deeper dive into recent announcements of new open ecosystem milestones
In this episode of the Open for Data podcast, join Joe McKendrick in exploring the role of cloud computing in reshaping the global business environment — and find out how open source initiatives are driving that change.
Many organizations are setting a course to meet the imperative of applying cloud-based analytics and open data to innovate lines of business and gain a competitive edge in their industries. Attendees at Strata + Hadoop World, 28–31 March 2016, can engage and network with experts to learn the latest
Open source initiatives are reshaping the face of data science, bringing data professionals together to achieve previously infeasible goals. In this podcast, discover how the data science landscape is changing, transforming established business approaches to data.
Organizations that don’t take the time to plan a strategy for implementation of a big data solution can fall into traps that impact long-term business goals. Discover five key steps organizations can take to implement a strategy for big data solutions that capitalize on Spark technology.
Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for big data analytics.
IBM InterConnect 2016 may now be history, but the premier cloud and mobile conference was center stage for a historical abundance of announcements concerning cloud data services, open analytics, cognitive Internet of Things, and more.
February 2016 has brought a whirlwind of announcements by IBM that are woven together by a predominate open data and open analytics thread. Many of these announcements were made at IBM InterConnect 2016. Take an opportunity to catch up on all these exciting announcements in this comprehensive
Open source analytics is transforming every segment of cloud data services, big data analytics, cognitive computing and other key insight economy technology enablers. See what some leading industry experts have to say about what they think are the most promising open source analytics initiatives
Cognitive analytics is reshaping the face of computing, bringing previously inaccessible capabilities to businesses across a range of industries. Discover how cognitive computing capabilities can help you create a cognitively enriched environment that can make your organization a hotbed of
When looking for course-changing insight, connecting the dots of information can range from meticulous exercises to bursts of inspiration. However this wow-factor insight may be derived, it can take organizations and industries on a new trajectory characterizing the dawn of an era in which
Although the weather can frequently be the go-to topic when engaging in small talk, it is very much intertwined with deeper discussions around the environment, global warming, and reducing carbon emissions. A rising tide of sensor-derived, Internet of Things data is now fueling a worldwide focus on