The Internet of Things (IoT) is making inroads in all areas of life, expanding the opportunities for each new generation of global citizens. What’s more, cloud technology is bringing IoT capabilities to people around the world, bringing them together in a new world of data.
IBM Bluemix Lift makes it easy to quickly, securely and reliably migrate your database from on-premises data centers to an IBM Bluemix cloud data property. Try IBM Bluemix Lift, and read more from the offering manager.
The benefits and pitfalls of different cloud deployment architectures can be intense topics of conversations spanning a wide range of industries. Some discussions foster new approaches to consider, and others make strong arguments as to which approach is well suited for different, industry-specific
Although formerly exclusive to the IBM Hadoop Platform, the extension of Big SQL to the Hortonworks Data Platform (HDP) meets the challenge of complex data warehousing queries on Hadoop. See what Paul Yip, worldwide product strategy for Hadoop and Spark at IBM, has to say about what this transition
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
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
Has your business adopted a hybrid analytics architecture as part of its quest to compete? Listen as Martin Fleming, IBM’s chief analytics officer and chief economist, explains why doing data analytics on the cloud is creating opportunities for modern businesses, and be sure to take notes as he
The future of cognitive computing is bright and Chief Data Officers have the chance to lead the way for their organizations. Not just a science-fiction dream, machines that are experts, expressive, educated, and evolving have the potential to create a stunning reality by driving meaningful market
If you want to impress your Sunday night dinner guests with a satisfying culinary outcome from a new recipe, you wouldn’t shop willy-nilly for ingredients. The same goes for that governance or master data management initiative you need to get underway on Monday morning. When considering such
Inderpal Bhandari, chief global data officer at IBM, talks about the many nuances of data, value of analytics and importance of the partnership between the CIO office and CDO office. He also discusses why building a comprehensive data strategy is important for organizations. Check out this CIO
Now introducing the “Insight Ops” model. This new model will embrace and enable an agile environment for discovery and exploration and manage the transition necessary to deploy the insight to make it actionable.
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.