In-memory technology was around long before Big Data became a buzzword. Parallel computing dates back to the 1980s. With lower cost memory and greater workload demand, in-memory computing has emerged as a key technology. A diverse array of industries, such as finance, retail and ecommerce, looking to capture business opportunities in real-time, are turning to in-memory.
As Big Data has come to the forefront of the next wave of technological innovation, in-memory data grids have become a powerful tool. ScaleOut Software has identified five ways organizations can use in-memory technology.
If you are designing a data warehouse, you need to map out all the areas where there is a potential for your project to fail, before you begin. ... More >>
Eight enterprise data management requirements that must be addressed in order to get maximum value from your Big Data technology investments. ... More >>
With the growing volume of data from assets and operations, there are significant challenges that asset-centric companies need to overcome to reap the benefits of digitization. ... More >>