Big Data Cloud Computing – If you are a technology enthusiast or have experience with Cloud services, you must have come across the word Big Data and Cloud Computing. Although they are often used together, they have different purposes of meaning.
Are you new to this IT revolution? Confused between Big Data and Cloud Computing? So this article will help you clear your doubts.
Big Data Cloud Computing
Here you will learn about the characteristics of Big Data and Cloud computing and the main differences and similarities between them. Okay, without further ado, let’s start with big data.
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Big data refers only to data (in other words information) that is large and increases from time to time. They can be of different types such as structured data, semi-structured data or unstructured data. And it can be formed from the results of different programs. This data cannot be processed with traditional management tools.
Some examples of Big-data are data generated by social media, e-commerce industries, weather stations or Internet of Things (IoT), etc.
Cloud Computing refers to the aforementioned big data processing or anything else that requires large computing resources. Big data cannot be analyzed or used in a traditional way. This is done with the cloud, which is a powerful server of various service providers on the Internet.
Cloud computing includes servers, databases, analytics and networks, and artificial intelligence. It often follows three service models –
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The main cloud computing vendors that provide cloud computing services are Amazon Web Service (AWS), Microsoft Azure, Google Cloud Platform, IBM Cloud Services, etc.
Now you should have a basic idea about cloud computing and Big-Data. Now let’s see how these two main technical things differ from each other.
In simple words, big data is just a huge amount of data that contains valuable information. Cloud computing provides computing resources and services to analyze and work with big data.
Both are undoubtedly cutting-edge technologies and are used simultaneously. And it plays an important role in our digital society, so if you are a technology buff, it is better to study both fields while they are at your fingertips.
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I am a biotechnologist by qualification and an online enthusiast by interest. I developed my interest in networking in the company of a passionate networking professional, my husband. What you’re looking for when hosting big data operations in the cloud is very different from what you’re looking for when hosting common applications and data.
There are clouds that specialize in running mission-critical applications such as ERP (enterprise resource planning) and software-as-a-service (SaaS) provider clouds that specialize in serving sectors industry specifics such as finance or logistics.
Likewise, when it comes to managing large data sets that are a combination of structured, unstructured and semi-structured data, there are clouds that specialize in big data.
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Clouds that manage big data have the ability to quickly scale large amounts of storage and processing. They can call it big data technology that is designed to take in many different forms of data and then perform algorithmic operations on the data.
Some clouds excel at offering infrastructure as a service (IaaS), which provides businesses with all the infrastructure and tools they need to run their big data operations. In other cases, big data cloud providers offer consulting and expertise and outsource staff.
Therefore, it can be difficult for companies to determine which selection approaches and criteria to consider when looking for a big data cloud provider.
Understanding where your organization fits on this spectrum is the first thing you should do before looking for a big data cloud provider.
The World After Cloud Computing & Big Data
There are large companies that have come a long way in implementing their big data strategies. They have personal expertise and have already successfully applied big data modeling and analysis.
Their interest in big data cloud services could only be to scale the infrastructure as needed, so that they don’t need expensive capital investments in their data centers. In this situation, the enterprise will likely look for a big data cloud service provider that has the ability to scale the storage and processing infrastructure on demand.
At the other end of the spectrum are companies that lack the in-house expertise and resources for big data, but still need to process it. These companies are more likely to look for a big data cloud vendor that provides infrastructure and additional services such as consulting, data management, as well as the ability to develop and maintain big data applications for the company.
Between these two extremes are companies that want a combination of self-managed and provider-managed big data services.
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If you are already running big data applications on a particular platform, it is important to find a big data cloud service provider that also supports it.
In addition, if you have a set of security and governance standards that you apply internally to big data, it is important to find a big data cloud provider that can provide the same level of governance and security, along with cloud utilities and tools that can exploit those. standards management and security.
Does the cloud provider have a robust set of tools and utilities that your staff can easily learn and use to manage your big data cloud operations? And if you are a business that lacks big data expertise, does the big data cloud provider have the consulting and outsourcing staff available to manage your big data for you, based on your specifications?
The cost of reliable data communication between your big data cloud provider and your data center is not cheap. It is helpful if your big data provider has a facility in your geographic region. A more localized cloud facility can reduce costs as well as the possibility of service interruption.
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A recent study by Pepperdata found that more than a third of companies exceed their cloud budget for standard services by up to 40%.
In the world of big data clouds, determining processing and storage costs is even more difficult because there is so little cost history. You may not know how much data your application will ingest or process, or how much you will pay to store the data.
The good news for companies looking for big data cloud services is the number of mature cloud providers that can provide a wide range of big data services. Among them are Amazon AWS, Microsoft Azure, Google, IBM and others.
Once you understand your company’s current and future big data needs, you can search for the vendor most aligned with your IT direction.
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Mary E. Shacklett is president of Transworld Data, a technology research and market development company. Prior to founding the company, Maria was Senior Vice President of Marketing and Technology at TCCU, Inc., a financial services company; Vice President of Product Research and Software Development for Summit Information Systems, a computer software company; and Vice President of Strategic Planning and Technology at FSI International, a multinational manufacturing company in the semiconductor industry. Maria is a keynote speaker and has over 1,000 technology articles, research studies and press publications. Before big data and cloud computing were brought to the table, organizations were looking for ways to better handle mountains of data, and now they are looking for ways: How to act on the insights derived from the data? One-two punch technologies are bringing massive changes to the universe. No industry has been untouched by the advantages offered by technology and the hidden potential of the data it unlocks.
Big data technology organizes the massive influx of unstructured data in an orderly way, a continuous process that never stops. Organized data in the possession will only become meaningful for companies when they are able to extract value from the data. This is where big data analytics play a key role in gaining insights into the data. But in many cases, companies want to extract integrated value from data that is scattered across different sources and databases. This is where cloud computing helps in analyzing big data in quantity, variety and veracity.
The symbiotic relationship between big data and cloud computing not only reduces the pressure on the infrastructure for rapid analysis of big data, provides easy access to information anytime and anywhere, keeps data safe and free hassle to maintain the data, which has rewarded the adopters with enormous benefits. . Google, Facebook, YouTube and other social media giants have perfectly leveraged technology to understand user behavior, increase retention and improve bottom line value.
Let’s see how the endless possibilities created by big data and cloud computing bring measurable benefits to the table: Make business agile
What To Look For In A Cloud Big Data Services Provider
The outdated trend of storing and maintaining data on local servers with infrastructure setup is expensive, time-consuming and inefficient, as it takes several weeks to build, install and run a server from scratch.
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