IBM told the media that it is expanding its portfolio of Cloud Data Services with more than 25 services, and all can be accessed on the IBM Cloud.
At least two IT groups will benefit from the new services. Coders will be able to craft, deploy and manage apps for mobile gadgets and Web services, while marketing specialists can look at hidden trends in the online environment by consulting data analytics in the cloud.
A plus of IBM's hybrid cloud services is that it works on many cloud providers. What's more, the technology relies on open source ecosystems and architectures such as Apache Spark, which means that data can easily be transferred to and from various services.
IBM already features self-service for data preparation, migration and embedment, as well as tools that help users explore and model based on data batches. Here are the cloud data services that the company opened.
IBM Compose Enterprise
This platform assists development teams in coding modern Web-scale apps at a quicker pace. It achieves the goal by allowing developers to deploy business-ready open-source databases on their proprietary cloud servers, and it takes very little to do so.
IBM Graph
The service is designed on Apache TinkerPop, and is the first IBM fully managed graph database service. Developers who use it to expand business-ready apps will be able to use time recommendations, network analysis uses, Internet of Things and fraud detection.
IBM Predictive Analytics
With this offering, developers can assemble self-build machine learning models into apps. This is useful, as it delivers product use case predictions without needing the assistance of a data analyst.
Read More: http://www.techtimes.com/articles/131382/20160207/ibm-cloud-data-services-ready-to-rock-enterprise-with-power-features-marketplace-for-developers.htm
At least two IT groups will benefit from the new services. Coders will be able to craft, deploy and manage apps for mobile gadgets and Web services, while marketing specialists can look at hidden trends in the online environment by consulting data analytics in the cloud.
A plus of IBM's hybrid cloud services is that it works on many cloud providers. What's more, the technology relies on open source ecosystems and architectures such as Apache Spark, which means that data can easily be transferred to and from various services.
IBM already features self-service for data preparation, migration and embedment, as well as tools that help users explore and model based on data batches. Here are the cloud data services that the company opened.
IBM Compose Enterprise
This platform assists development teams in coding modern Web-scale apps at a quicker pace. It achieves the goal by allowing developers to deploy business-ready open-source databases on their proprietary cloud servers, and it takes very little to do so.
The service is designed on Apache TinkerPop, and is the first IBM fully managed graph database service. Developers who use it to expand business-ready apps will be able to use time recommendations, network analysis uses, Internet of Things and fraud detection.
IBM Predictive Analytics
With this offering, developers can assemble self-build machine learning models into apps. This is useful, as it delivers product use case predictions without needing the assistance of a data analyst.
Read More: http://www.techtimes.com/articles/131382/20160207/ibm-cloud-data-services-ready-to-rock-enterprise-with-power-features-marketplace-for-developers.htm
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