Over the past two years, several new entrants to the market and existing players have been rapidly building offerings, and the use cases for streaming analytics are pervasive. The Forrester Wave™: Big Data Streaming Analytics, Q1 2016, reports “Streaming analytics are critical to building
In a podcast recorded at IBM InterConnect 2016, Roger Strukhoff, executive director, Tau Institute for Global ICT Research, shares his expert perspective on how open source initiatives are transforming the Internet Of Things.
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.
At the recent Strata + Hadoop World conference, everybody was talking about the growing number of open source solutions. But what does this mean for the rapidly maturing field of data science? Find out in this firsthand report—and get a sense of how open source solutions will take analytics to the
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.
A variety of organizational roles interact with business data, and each role faces its own particular challenges in collaborating with its IT counterparts. In this installment of the InsightOut series, learn more about the responsibilities of these personas, exploring the considerations that govern
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
Bringing analytics to the C-suite doesn’t have to be a struggle. Learn how you can tailor your analytics conversations to help your executive colleagues throw open the door to new vistas of business opportunity.
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.
In 2016 and beyond, the data warehouse will continue to be relevant, but the new requirement will be for hybrid data warehouse solutions. As organizations strive to be more data-driven, new types of analytics are coming to the forefront. IBM has again been named a leader in the Gartner Magic
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.
Organizations looking to be more data-driven than ever before not only want to pervasively enable analytics across their enterprises, but they also aim to allow for enhanced collaboration and interaction. In this second InsightOut series installment, see how they can face the challenges to