It seems that we’re reaching the point where the Internet of Things (IoT) is moving from the domain of enthusiastic early-adopters to the more challenging, more profitable territory of mainstream enterprise technology. Event-driven architectures are playing a key role in these types of applications
If you read a lot of development blogs nowadays, you’ll probably notice a common theme: developers don’t want to deal with databases. They want to focus on designing, building, testing, and deploying applications that deliver value to the business as quickly as possible.
The word "hybrid" gets used a lot these days and can refer to many things from a database perspective. For system administrators, a hybrid database can mean provisioning the database in the cloud, on premise, or in an appliance, with the location being transparent to applications or end-users. For
IBM Insight at World of Watson 2016, 24–27 October 2016, at Mandalay Bay in Las Vegas, Nevada, is the only place to be for people who work with data. Take a look at this list of top-ten reasons you wont’ want to miss out on one of the most intriguing and innovative events of the year.
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
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.
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.
Thanks to the democratization of data, rising numbers of businesses are making highly insightful decisions that are producing beneficial real-world results. Catch a few highlights from a podcast that takes a deep dive into how open source analytics processing engines and high volumes of data are
Your business is collecting more data than ever, and like many other businesses out there, at some point you’ll face having to tackle the inevitable data overload problem. After all, computing resources are not unlimited. Discover how to proactively implement an automated ILM strategy to achieve an
Enterprise-scale database technology needs to be on its game when it comes to thwarting security threats and protecting data from loss because of disaster or system failure. Take a look at advanced security features built into IBM DB2 for Linux, Unix and Windows Version 11.1 that can help ensure
How do you handle your semi-structured data? In this whitepaper from IBM Cloud Data Services, find out how keeping your data warehouse on the cloud can help you gain the competitive advantage by freeing valuable resources.
Flight is perhaps humanity’s oldest dream, brought from concept to reality over the course of millennia. Today, businesses can chart a flight plan for their data, taking it where it needs to be even in cloudy skies and uncertain conditions. Find out how modern approaches to data and data