While the proliferation of data will be readily apparent, deciding what to do in response will be less straightforward. The majority of workloads currently sit in traditional, on-premises environments but we’ll see many of them move to private and public clouds over the next over the next five
Big data isn’t just getting bigger. It’s getting more valuable. As companies work to unlock more value from their data, one of the biggest challenges to address is disconnected data silos. Big companies don’t have one data lake, they have data lakes, ponds and pools.
We’re living through the third great revolution in modern business. First came economies of scale, which we harnessed with the Industrial Revolution, the assembly line, and the creation of global markets. Second was network effects, seen most obviously in the rise of the Internet and the Web. Third
Quite often, we see that the need for data security and governance makes some organizations hesitant about migrating to the cloud. This is perfectly understandable given the types of data gathered and used by businesses today, the regulations they must adhere to on both a local and global level,
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
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.
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.
Modern cloud solutions for analytics and information management will play a significant role in enabling and simplifying self-service access to the right data at the right time by all those who need it and have a right to use it. But this approach will require a process led by a strategy that takes
When it comes to cloud deployments of analytics and information management (AIM) technology, it is no longer a question of why to adopt cloud solutions but rather when and how. Today's modern cloud solutions are open for business - open for your data and open for your applications.
When looking for course-changing insight, connecting the dots of information can range from meticulous exercises to bursts of inspiration. However this wow-factor insight may be derived, it can take organizations and industries on a new trajectory characterizing the dawn of an era in which
When organizations adopt a hybrid cloud environment, they add another layer of complexity to their information supply chains. Despite the added complexity, organizations still need to ensure completeness, accuracy and availability of information for high-quality insights. To achieve these data
Many organizations can take advantage of off-premises cloud environments or a hybrid approach. The key is a sound governance strategy to help ensure organizational data is secure and trustworthy in these environments.
Databases have been around for decades, but suddenly there’s renewed interest in database technology. Nancy Hensley, director of marketing and strategy for databases and database systems at IBM, joined the show to explain what is happening in the industry to drive this interest. She also described
The future of big data?
Hybrid data architectures have been hailed as “the future of big data.” But what exactly is a hybrid data architecture and how would your organization best make use of one? What makes it better than current systems? What are some of the challenges involved in deploying a