Data science is a team sport that involves specialists with complementary skills and aptitudes. Successful data science initiatives leverage high-performance team collaboration. Like the fictional sleuth and his partner, IBM’s customers in the data science community must have the right mix of
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,
Nutrition is the science of how food effects the human body and focuses upon disease prevention, healing and management of chronic conditions. A dietitians’ field of work is however much generalized. This includes working with different diets, applications, data sources, articles, and multiple
In many cases the data lake can be defined as a super set of repositories of data that includes the traditional data warehouse, complete with traditional relational technology. One significant example of the different components in this broader data lake, is in terms of different approaches to the
With the Geospatial Analytics service in IBM Bluemix, you can monitor moving devices from the Internet of Things. The service tracks device locations in real time with respect to one or more geographic regions. Geospatial Analytics can be used as a building block in applications that support
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
This white paper discusses the advantages of using the PySpark API, which enables the use of Python to interact with the Spark programming model. It starts with a basic description of Spark and then describes PySpark, its benefits, and when it is appropriate to use instead of "pandas" open source
This is the second in a series of blogs on analytics and the cloud. We will consider the rise of the Internet of Things (IoT), analytics used on that data and how the cloud can be utilized to drive value out of instrumenting a very wide range of ‘things’.
Follow a streetwise CDO as he walks the beat and tries to understand the mystery that is GDPR (the General Data Protection Regulation). Like any good detective, he uncovers the facts about the new regulation and relies on a colorful cast of characters to help him overcome the challenges he is
Modernize your payment platform with IBM Financial Transaction Manager, the optimal payment platform for a bank’s path to business growth in the digital age. Financial institutions can introduce new real-time schemes and payment types continually, support existing and emerging transaction
There is a growing need for versatile, hybrid architectures that can combine the best of both data warehousing and big data analytics. The cloud is the perfect solution, because it makes it easier to build a robust data warehouse as a central “hub”, and then add other environments that can be
As a business technology professional, you need to manage your company’s information resources 24x7 while juggling concurrent projects and staying up to speed on changes in the technology and in your chosen field. You’re stretched thin but continue to seek out professional learning opportunities
Listen to Dr. Hans Schlenker, Offering Manager, IBM Decision Optimization (DOcplexcloud and DOcenter) as he speaks about how you can solve the real-world optimization problems with IBM Decision Optimization on Cloud.