Advances in tools and the capability to work with cloud-based data sets are dramatically changing the nature of data science workloads. Take a look at one data scientist’s quest to learn more about performing data science analysis in the cloud.
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.
Database migration is not any database administrator’s idea of fun—not even close. By far, the database migration status quo can be the least interesting and most dreaded part of the job. Check out an advanced self-service, ground-to-cloud database migration offering for handling database migration
The concluding week of September 2016 offered much excitement in New York City, the backdrop for Strata + Hadoop World 2016 and several key IBM announcements, including the launch of a cloud-based, self-service environment for data science teams. Enjoy some key highlights captured from this
Sooner or later, you will likely adopt a hybrid cloud. Regardless of how you arrived at that point, you realize that you need to understand how to deploy and manage a mixed environment efficiently—and you have to do it soon.
Chris Snow, a data and application architect, enjoys helping customers with their data architectures and is working extensively on an open source app project in his spare time. Hear what Snow has to say about his IT experience spanning several industries, his current efforts with customers and his
If you’re looking to make your business data-driven, then you already know the paramount importance of modernizing your data architecture and its response capabilities. Accordingly, in your search for the ideal approach to delivering analytics for decision making, have you considered data
The importance of data science expertise, techniques and tools in a world rapidly employing advanced cognitive systems cannot be understated. Learn more about how business analysts, data scientists, data engineers, application developers and other professionals with analytical skills sets are using
Security and databases are inseparable in this day and age. How can you ensure your data is protected? Take a look at this overview of four security essentials for organizational database environments.
The IBM dashDB Local warehouse solution combines a full range of data warehousing capabilities while delivering the levels of flexibility and control associated with the cloud. Begin your own free trial of dashDB Local today to discover how it can help you bring new levels of capability to your
When I spoke with Derek Schoettle, General Manager, Analytics Platform Services, the subject of open source capabilities came up a few times. Data is going to change the culture of business, and in fact it becomes the culture when you truly embrace it.
Until now, enterprise developers have faced challenges in achieving scale and maintaining high performance with graph databases. Enterprise development teams could not guarantee the availability of graph data stores as a reliable cloud service, particularly as an always-on distributed property
Many organizations today have digital transformation at the center of their corporate strategy. At the heart of this transformation is the ability to develop actionable insights. The key is to gain smarter, more accurate insights faster than their competition and then translate that insight into