Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

Is Hybrid Cloud Ideal for Big Data?

DZone's Guide to

Is Hybrid Cloud Ideal for Big Data?

Hybrid cloud environments offer many advantages for handling big data projects. And, according to the research big data projects are on the rise...

· Cloud Zone
Free Resource

MongoDB Atlas is a database as a service that makes it easy to deploy, manage, and scale MongoDB. So you can focus on innovation, not operations. Brought to you in partnership with MongoDB.

I came across an article yesterday on ZDNet that said: “The big data and analytics market is expected to be worth more than $187 billion in 2019, up from $122 billion in 2015, according to IDC.” Over five years, the big data market is expected to grow by about fifty percent, said IDC.

With the increasing opportunities, we can see that big data needs a very dynamic environment. Cloud-based architecture has become a popular business model and is recognized as the best-suited environment for any big data players. The key reason that has been stated by many big data leaders is: different data sets can be separated, replicated, and located anywhere in the world and thus simplifies the task of scaling the infrastructure up and down. Organizations need not look at building and maintaining their own infrastructure which reduces the costs and offers flexibility to work with smaller workloads.

That was the overall story of the cloud environment. Big Data can be hosted in any of these cloud models:

  1. Private Cloud
  2. Public Cloud
  3. Mix of both – Hybrid Cloud

Why Hybrid Cloud Is Ideal for Big Data?

Private clouds are an expensive solution; they need much larger capital investments in terms of IT infrastructure. While Public clouds, which can be purchased from a Cloud Service Provider, need much lower upfront capex, big data players often need to consider the risk of vendor lock-in.

To avoid this lock-in, businesses are looking into a solution that’s flexible and can be used in a variety of environments, including on-premise, virtualized, and cloud, which offers multiple cloud access options, too. This kind of Hybrid environment enables them to be more flexible in managing their entire environment as per their requirement.

Big data players need to always look for ways to improve their customer business experience or their customer service. Hybrid cloud is the ultimate technology for companies that want to work on such projects now or in the future. Whether or not a company makes a decision to get involved in a big data project, one thing is for sure: the quantity of data that companies are generating and collecting will continue to grow and the need for a dynamic Hybrid Cloud Environment will correspondingly grow to support such projects.

I have written an article on Innovation in Disaster Recovery strategy due to Hybrid Cloud and Multi Cloud Approach. Please let me know what do you think and how realistic these use cases are in our current market scenario.

MongoDB Atlas is the best way to run MongoDB on AWS — highly secure by default, highly available, and fully elastic. Get started free. Brought to you in partnership with MongoDB.

Topics:
big data ,cloud analytics ,hybrid cloud ,multi cloud

Opinions expressed by DZone contributors are their own.

THE DZONE NEWSLETTER

Dev Resources & Solutions Straight to Your Inbox

Thanks for subscribing!

Awesome! Check your inbox to verify your email so you can start receiving the latest in tech news and resources.

X

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}