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
Cloud-based open source databases offer developers agility, but quite often no single database can meet all their needs. See how adopting a multi-database strategy empowers developers to build web and mobile applications quickly and economically without the cost and distractions that come with
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.
Exploiting external, cloud-based data can bolster competitive advantage for cognitive businesses, but combining it with internal, business-outcome data brings challenges. Consider several actions that organizations can take using cloud data services to capitalize on the value of external data.
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.
Never has the impossibility of a one-size-fits-all solution been more apparent in computing than in the field of data warehousing. Instead of trying to shoehorn data into a data warehousing solution so general as to be ineffectual, look to hybrid capabilities to supply answers tailored to your 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
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
Seems like not log ago service-oriented architecture (SOA) was all the rage. What happened to it? Where did it go? Take a look at one perspective that connects a line of ancestry for microservices architecture and imminent edge-oriented, big data analytics microservices from the SOA era.
Busy executives that need to make vital business or investment decisions don’t want to wait for days or weeks for an answer to a question they put to analysts or receive incomplete information or analysis with spurious results. Fortunately, analysts today can access cloud-based data services that