Organizations are seeking agile and automated development processes for data analytics so their data citizens and business users can work together more efficiently and...
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The ultimate goal of every data scientist or Machine Learning evangelist is to create a better model with higher predictive accuracy. However, in the...
As the pace of change in the industry accelerates, it has been a critical requirement for IT operations to support an always-on business to...
Big data in manufacturing can include productivity data on the amount of product you’re making to all the different measurements you must take for...
Unlike traditional approaches to storage, SDS was designed explicitly to support the diversity, virtualization and self-service that define the modern enterprise data center. Based...
Big data is the confidential information storage of a company. Like how a flight’s black box contains everything that happens in the journey, big...
Businesses that deploy AI can expect sales growth through more precisely targeted and relevant customer engagements, more rapid scalability across business operations and greater...
High performance storage is useful to manage hot or active data, but can be very expensive for cold/inactive data. Since over 60 to 90%...
We already know that Kubernetes is the No. 1 orchestration platform for container-based applications, automating the deployment and scaling of these apps and streamlining...
Containers and Kubernetes come with new security considerations. They also catalyze teams to rethink their legacy security strategies, moving away from monolithic or waterfall-ish approaches where security doesn’t...