5 Essential Tips for Maximizing Your Experience at Nutanix .NEXT for Bloggers
Independent industry reports tell us that the Global Datasphere [1] – the summation of all globally stored digital data – will grow to 175 zettabytes (ZB) by 2025. To give an idea of that kind of scale, the recent increase in interconnectedness of all things means the average household already fills over 300 iPhones (32 GB) in a year! At that kind of scale and growth, the usual file and block storage paradigms become too unwieldy in terms of management and performance. Object storage is built for hyper-scale and can handle the ever-growing unstructured data mix of social media, video, audio, log files, sensor data, and emails.Objects are stored as constituent pieces of data, essentially a flat list of objects that make up the file. Any relevant metadata is stored with the object and a custom identifier (UUID) is provided, rather than a filename. Objects use the Amazon S3™ storage APIs. This is the de-facto standard for object storage data transfer. Access objects through “GET” and “PU
The Nutanix Objects™ storage solution brings the ability to separate compute and storage in big data distributed applications, allowing you to independently scale each of the individual layers in both your on-premises and cloud datacenters. As part of the Nutanix Unified Storage™ portfolio, Objects form a centralized repository for all unstructured and semi-structured data contained within your data lake.A key value proposition of Nutanix Objects is to scale capacity as needed so you can start small and then grow capacity on demand. It’s a cost-efficient approach where you pay only for the storage you actually need. Data lake management is also efficiently streamlined with the Nutanix Cloud Manager™ (NCM) console , which monitors the processing, analysis, and reporting of your Objects cluster infrastructure. This functionality makes an on-premises data lake built on Nutanix Objects an efficient solution for any size company.Improved Time-To-Value for Analytics WorkloadsWhen we look at
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