Cloud Environments Leveraging Big Data Solutions

Big Data is a term that has coined and evolved in the last decade and subsequently, it has become a game-changer in the IT sector. Availability of data from every single imaginable source, whether it be social media or IoT sensors or business applications, is a key factor in propelling businesses forward today. On the other hand, cloud computing is largely adopted by enterprises to improve their IT operations and render better services.

We have dedicated a blog to summarize various benefits of cloud computing for business organizations which you can access through the following link:

https://createbytes.com/insights/Cloud-Computing-Benefiting-Business-Everyday/

In this blog, we are going to introduce big data in cloud computing and we will see how cloud computing is the answer to your big data initiatives. Let’s swoop in.

Big Data & Cloud Computing in a Nutshell

The large stores of data that bombards companies day in and day out is known as big data. The paradigm of big data is viewed as an effort to understand and get proper insights from large chunks of data.

Cloud computing allows users to access all of the features and files of the system without having the issue of managing the bulk of that system on their personal computers. Broadly, cloud computing provides three services:

  1. Infrastructure as a Service (IaaS)

  2. Software as a Service (SaaS)

  3. Platform as a Service (PaaS)

The 4 V’s of Big Data

Volume

  • -Amount of data generated.

  • -Online & offline transactions.

  • -In kilobytes or terabytes.

Velocity

  • -Speed of generating data.

  • -Generation in real-time.

  • -In streams or batches.

Variety

  • -Structured & unstructured.

  • -Online images and videos.

  • -Human-generated texts.

Veracity

  • -The trustworthiness of the data.

  • -Addressing confidentiality.

  • -Poor quality data separation.

Big Data in the Cloud: A Perfect Match!

Combining big data with cloud computing can transform your organization. Storing and processing big volumes of data requires scalability, fault resilience, and availability. Cloud computing handles all these through hardware virtualization. Hence, we say that big data and cloud computing are two compatible concepts as cloud enables big data to be available, scalable, and fault resilient.  

Discussing features of Big Data in Cloud Computing

In this section, we are going to discuss some of the features of big data in cloud computing which can even be seen as pros of adopting cloud infrastructure for handling large volumes of data.

 

  • 1. Zero CAPEX: Cloud’s IaaS models significantly reduce capital expenditure (CAPEX) investments, allowing companies to set up data warehouses.

  • 2. Scalability: Cloud provides the ability to scale up or down the infrastructure quickly to manage large spikes in traffic or usage.

  • 3. Cost Efficiency: Data mining in the cloud can reduce the cost of analytics as a matter of course.

  • 4. Agile and Innovative Culture: No need to worry about managing servers and databases as the cloud is always there for you so that you can focus on analyzing data and innovation.

  • 5. Business Continuity: Cloud ensures continuous access to information and vital big data insights.

Big Data in Cloud Computing

Addressing Big Data Issues

While it’s not wrong to conclude that cloud computing can help you to process and analyze big data faster, there is still a set of challenges that need to be overcome to realize the true potential of the cloud. Let’s read about them.

#Security

Incorporating big data in cloud computing presents several questions before us like who is the real owner of the data, who has access to it, what kind of permissions are required for access, etc.

#Privacy

Privacy is an issue that needs further improvement undoubtedly as systems store huge quantities of personal information every day.

#Heterogeneity

Dealing with a wide variety of data and different velocity rates is a hard task that cloud systems must handle.

#Data Governance

Data Governance is a commonly used term that applies to organizations with huge datasets, which defines policies to retain valuable data as well as to manage data accesses.

#Disaster Recovery

Successfully deploying big data DBMSs in the cloud depends on disaster recovery mechanisms strongly.

#Data Uploading

There have been efforts to create efficient data uploading algorithms to minimize upload times on the cloud, but this process still remains a major bottleneck. 

Why does Big Data in the Cloud make perfect sense?

The amalgamation of big data and cloud computing offers an ocean of advantages. Big data and cloud pairing boost data-driven decision making including the principal concerns of a COO: optimization of the supply chain and tracking of the defects. Whatever be the case, big data implemented with an agile cloud platform can help you to achieve your business objectives.

Signing off. Now, over to you.

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