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
In the past few years, we’ve seen an explosion in the number and variety of organizations that are adopting big data technologies such as Hadoop and Spark and the recent trend to leverage data services in the cloud. How are enterprises coping?
https://www.ibm.com/cloud/db2-warehouse-on-cloudApache 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
Implementing advanced analytics practices in the government sector can be particularly challenging because of infrastructure and software, security, agility and internal human obstacles. But there is a way to bring the community closer to analytics-driven government and to leave behind the
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
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
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.
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