A day in the life of data science professionals likely involves navigating the challenges and complexities of sourcing, preparing, modeling, developing and governing data, analytics tools and other assets in collaborative environments. Get a glimpse of the roles that compose data science teams and
A growing number of businesses and industries are finding innovative ways to apply graph analytics to a variety of use-case scenarios because it affords a unique perspective on the analysis of networked entities and their relationships. Gain an understanding of how four different types of graph
The really cool thing about big data and multiple data sources for today’s advanced, web-based applications is that a variety of open source databases can provide specialized support for different application components. If you’re involved in application development, discover why achieving polyglot
Discover what happened when a developer and a data scientist joined forces to create an exciting new app—and why the lessons they learned are spurring collaboration among data professionals everywhere.
The open source Hadoop framework accommodates distributed storage and processing of large data sets on clusters of computers through the use of programming models. If that description sounds complex, then dig into this breakdown of Hadoop components to gain an understanding of just how flexible
This short series of blogs for the business user is designed to turn key technologies into easy to understand concepts to help explain why they are needed in a modern digital enterprise. When looking at consumer and business transactions in today’s online world, many people may ask, “Why big data
The rapid rise of the Internet of Things requires a new breed of developer. Often moonlighting to develop solutions that are transforming the Internet of Things, many of these developers have day jobs in a wide array of disciplines. And their job titles can range from application developer to
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
Modern buildings often house interactive, collaborative and dynamic working environments. Get a glimpse at how some leading-edge organizations are applying cognitive analytics and the Internet of Things to design digital, intelligent buildings with elastic environments that can dramatically enhance
So you want to enter the data science field, or maybe you are already a data scientist looking to expand your horizons. Several routes into the profession can provide the core skills, knowledge and best practices necessary to become a developer in the era of cognitive computing. And events such as
Why is Spark so badly needed by the data science community? Primarily, it offers an open platform for fast, powerful data access that is vital for organizations because they are increasingly using a wide variety of technologies to deliver analytics, and they are tied to a variety of workloads.
If you want to create apps for the Internet of Things, you need the proper ingredients. A tasty combination of collaboration and open platforms are readily available to help anyone easily concoct apps that appeal to even the most discerning end users.
IBM is empowering organizations of all sizes (and industries) through data and analytics. With the advent of the cloud, clients can now innovate faster, work smarter and solve pressing business problems—sometimes with just the press of a button.