Cloud computing not only reduces costs, but also makes a wide array of applications available to smaller companies. The combination of availability and lower cost is fueling rapid growth of global public cloud services.
Growth of the market for global public cloud services is projected to finish 2017 at $246.8 billion, up by 18% from $209.2 billion in 2016, reports IT research firm Gartner. Some segments will grow at an even faster clip – for example, cloud application services are pegged to increase by 20% to $46.3 billion this year. The fastest growth is expected from cloud system infrastructure services, blasting by 36.8% to reach $34.6 billion.
According to Datameer, a platform for big data preparation and exploration, through various initiatives many organizations have inadvertently created “shadow†data lakes, massive reservoirs of stored data in the cloud in locations such as Amazon Simple Storage Service (Amazon S3). This occurred due to the availability of inexpensive storage and compute resources, but it has left organizations with the dilemma of either moving data on-premises for processing and analysis or using more bare-bones Hadoop command line and scripting tools available from cloud providers, which can be daunting, expensive – or both.
The issue can be solved by providing a newly architected big data preparation and exploration platform that incorporates a cloud-centric architecture and separates compute from storage, enabling on demand use of services with full elasticity of each, fulfilling the promise of a hybrid architecture that can span cloud and on-premises resources.
Datameer has designed a new product available on Amazon Web Services which is responding to the increased trend among businesses to process big data in the cloud. The product provides users with big data processing closest to the location of their data, whether in the cloud, on-premises or a hybrid approach.
Christian Rodatus, Datameer’s chief executive, notes increased interest from customers over the past 18 months in moving their big data platforms to the cloud.
Datameer for AWS allows rapid deployment on Amazon Elastic Compute Cloud instances, integration with Amazon Elastic Map Reduce Hadoop and the use of Amazon S3 for persistent storage.