Big data and cloud computing are two distinctly different ideas, but the two concepts have become so interwoven that they are almost inseparable. It's important to define the two ideas and see how they relate.
Big data refers to vast amounts of data that can be structured, semistructured or unstructured. It is all about analytics and is usually derived from different sources, such as user input, IoT sensors and sales data.
Big data also refers to the act of processing enormous volumes of data to address some query, as well as identify a trend or pattern. Data is analyzed through a set of mathematical algorithms, which vary depending on what the data means, how many sources are involved and the business's intent behind the analysis. Distributed computing software platforms, such as Apache Hadoop, Databricks and Cloudera, are used to split up and organize such complex analytics.
Cloud computing provides computing resources and services on demand. A user can easily assemble the desired infrastructure of cloud-based compute instances and storage resources, connect cloud services, upload data sets and perform analyses in the cloud. Users can engage almost limitless resources across the public cloud, use those resources for as long as needed and then dismiss the environment -- paying only for the resources and services that were actually used.
The public cloud has emerged as an ideal platform for big data. A cloud has the resources and services that a business can use on demand, and the business doesn't have to build, own or maintain the infrastructure. Thus, the cloud makes big data technologies accessible and affordable to almost any size of enterprise.
There are multiple benefits of Big data analysis in Cloud.
With the advancement of Cloud technology, big data analysis has become more improved causing better results. Hence, companies prefer to perform big data analysis in the Cloud. Moreover, Cloud helps to integrate data from numerous sources.
Big Data analysis is a tremendous strenuous job on infrastructure as the data comes in large volumes with varying speeds, and types which traditional infrastructures usually cannot keep up with. As the Cloud computing provides flexible infrastructure, which we can scale according to the needs at the time, it is easy to manage workloads.
Both Big data and Cloud technology delivers value to organizations by reducing the ownership. The Pay-per-user model of Cloud turns CAPEX into OPEX. On the other hand, Apache cut down the licensing cost of Big data which is supposed to be cost millions to build and buy. Cloud enables customers for big data processing without large-scale big data resources. Hence, both Big Data and Cloud technology are driving the cost down for enterprise purposes and bringing value to the enterprise.
Data security and privacy are two major concerns when dealing with enterprise data. Moreover, when your application is hosted on a Cloud platform due to its open environment and limited user control security becomes a primary concern. On the other hand, being an open source application, Big data solution like Hadoop uses a lot of third-party services and infrastructure. Hence, nowadays system integrators bring in Private Cloud Solution that is Elastic and Scalable. Furthermore, it also leverages Scalable Distributed Processing.
Besides that Cloud data is stored and processed in a central location commonly known as Cloud storage server. Along with it the service provider and the customer signs a service level agreement (SLA) to gain the trust between them. If require the provider also leverages required advanced level of security control. This enables the security of big data in Cloud computing covering the following issues:
There are rules associated with service level agreements for protecting
On the other hand in many organizations, big data analytics is utilized to detect and prevent advanced threats and malicious hackers.
Infrastructure plays a crucial role to support any application. Virtualization technology is the ideal platform for big data. Virtualized big data applications like Hadoop provide multiple benefits which are not accessible on physical infrastructure, but it simplifies big data Management. Big data and Cloud computing point to the convergence of various technologies and trends that makes IT infrastructure and related applications more dynamic, more expendable and more modular and. Hence, Big data and Cloud computing projects rely heavily on virtualization
