Do you want to win the race to insight and beat your competition? If so, it’s time to rev up your analytics strategy. Explore how analytics platforms fueled by trusted information, designed for hybrid environments, and built on open technology can put you in the winner’s circle.
Businesses can benefit enormously from analysis-derived rules that enable understanding why certain events occur and the corresponding actions to take. Learn more about a widely used six-phase methodology for building predictive analytics models that can reveal hidden rules for meaningful business
Spark just seems to be getting big play everywhere in the technology arena. What is Spark? And do you need it? Get a good glimpse into its in-memory execution capabilities, some of its key components, its integrations and its availability as a service.
Spark’s momentum is building, and it is rapidly emerging as the central technology in analytics ecosystems within organizations. See why Spark’s technical advancements around iterative processing combined with its easy overall environment and tool set for developers make it a true operating system
The open source Hadoop framework accommodates distributed storage and processing of large data sets on clusters of computers through the use of programming models. If that description sounds complex, then dig into this breakdown of Hadoop components to gain an understanding of just how flexible
Apache Spark not only excels at data warehousing, in-memory environments for building data marts and other functions, it also is well suited for pulling data from a wide range of sources and transforming and cleansing that data in an Apache Hadoop cluster. And then there is Spark’s complementary
This short series of blogs for the business user is designed to turn key technologies into easy to understand concepts to help explain why they are needed in a modern digital enterprise. When looking at consumer and business transactions in today’s online world, many people may ask, “Why big data
Before the San Jose, California version of Strata + Hadoop World fades from memory, check out these five key experiences that highlighted this conference for data scientists, data engineers, developers and other IT professionals.
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
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.