The world revolves around digital technology nowadays, especially with the rise of computers, mobile devices, and big data. There are tons of information being generated, processed, accessed, and analysed every second, owing to the automation and artificial intelligence of various software programs and applications.
Both private individuals and businesses benefit from manual to automated solutions and the evolution of printed texts to virtual or web-based resources, transforming day-to-day lives and operations. All of these things are made possible with big data as a service.
In this article guide, you’ll learn more about big data as a service for your detailed references.
What Is Big Data?
As the term implies, big data involves huge amounts of details, processes, or information humans won’t be able to comprehend as only advanced data processing software could do so. Big data consists of massive complex structured datasets (e.g., numbers and texts) and unstructured data sets (e.g., video, audio, image files, log files, and social media posts) not fitting in spreadsheets. Also, big data rapidly generates and transmits to various sources.Understand big data by checking its following qualities:
Enormous
Are you familiar with megabytes and gigabytes of the data storage capacity of smartphones and computers? With big data, the volume of data is gigantic, in which the data is measured in petabytes (1 petabyte is 1024 terabytes) and zettabytes (a trillion gigabytes or a billion terabytes).Fast
The velocity or speed in analysing big data is lightning fast, allowing real-time processing. Thus, it helps in quick but sound decision-making to keep up with the tight competition, most especially in the business sector.Varying
Videos, texts, graphs, emails, audio files, and scientific data make up a big data stream. Each data has its own unique, varying qualities.Importance Of Modern Big Data Tools
Modern advanced tools can help sort, access, and process big data to make them easily accessible, faster to interpret, and readily available in desired formats. For instance, a news aggregator or a content aggregator pulls together apps and web content such as newsletters, blogs, and social media posts from various online sources for resale or reuse as a way of curating content.Examples Of Big Data
One good example to find big data is the Internet. Every day, millions of web content are being uploaded online. People shop, pay bills, do business, chat, and call using the Internet. Just imagine the bulk of data being fed and retrieved online with millions of users worldwide.Big data isn’t just the information you see online. It also includes car computer data to show a driver’s driving habits and gearbox settings, the data on wearable devices like smartwatches, home security systems, and others.
Here are some other examples of big data:
- Social media sites
- Credit card information
- Shopping sites
- Online courses
- Electronic medical records
- Health device sensors
- Telecommunication devices
- Manufacturing equipment sensors
- Automated Teller Machines (ATMs)
Big Data As A Service
You’ve learned about big data, so what’s big data as a service (BDaaS)? Big data as a service refers to the combination of big data technologies and cloud computing platforms, reducing the cost and time needed in big data project deployment. It enables businesses to manage a high volume of data on cloud platforms, providing easy accessibility.Here are the two key players in big data as a service:
1. Cloud Computing Platforms
Cloud computing refers to the delivery of databases, storage, servers, analytics, intelligence, software, and other computing services over the Internet. Cloud computing has three layers or main service models in which big data as a service also carry, including the following:
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
2. Big Data Technologies
Data management for big data involves using leading-edge technologies to be able to access, handle, store, process, and analyse complex data.
Here are some of the big data technologies commonly used nowadays:
- Artificial Intelligence (AI)
- Predictive Analytics
- NoSQL Database
- Blockchain
Types Of Big Data As A Service
BDaaS technology offers a highly functional architecture, including big data storage infrastructure, big data processing modules, and impressive analytical tools, reducing expenditures on hiring data scientists and programming experts.Generally, BDaaS consists of two things, which include a service-oriented data architecture and cloud virtualization. Here are the major types of BDaaS:
- Core BDaaS
- Performance BDaaS
- Feature BDaaS
Feature BDaaS has evolved to provide application possibilities depending on specific assignments. The basic infrastructure employs different basic software features with storage and computing independent of the BDaaS service provider, promoting full scalability.
- Integrated BDaaS
Benefits Of Using Big Data As A Service
Businesses worldwide are struggling with data storage, and handling a high volume of data has become challenging to process and obtain invaluable results. Big data as a service is designed to solve all these issues, equipped with advanced statistical analytical tools, allowing users to quickly access and analyse complex data sets for smart decision-making. BDaaS provides data analytics combined with customized storage, hardware, and software.
The benefits of big data as a service are as follows:
- Great Cloud Storage
Businesses can benefit from cloud storage, especially in implementing a marketing campaign. For instance, publishers and marketers can monitor a large web content campaign or search engine optimization (SEO) campaign to reach a huge audience using BDaaS. Also, creating, curating, and publishing content is a lot faster and easier with the help of BDaaS.
- Cost-Effective
By working with a BDaaS provider, users only pay for the services they use. As compared with the cost reduction of training employees in terms of data processing, BDaaS is a more cost-effective solution.
- Straightforward
BDaaS utilizes application software for a wide range of big data services such as straightforward reporting, querying, data mining, and analytical processing, transforming raw data into constructive data for business intelligence, increasing actual business efficiency.
- Scalable
With BDaas, businesses won’t run out of storage because it’s designed to store tons of information. BDaas service providers give additional storage at an extra charge, covering the cost of upgrading storage capacity and technology required by the company. It’s still a more cost-effective storage solution than continuously adding in-house hardware.
- Promotes Business Growth
- Additional Layer Of Security
Choosing the right BDaaS provider and investing in data security can greatly benefit companies. The use of BDaaS for big data storage, access, processing, and analysis remains the best option when handling such information.
How To Choose A BDaaS Provider
Every business owner must be keen on selecting the right provider when embracing big data as a service to realize overall goals. For one, companies should hire BDaaS experts who use the right big data technologies to promote superior data security.When choosing a BDaaS provider for your business, it’s crucial to consider the following:
- Start-up Costs
- Scalability
- Business Niche
- Feedback And Real-time Analysis
- Managed And Self-service
Conclusion
You’ve just learned the basics about big data, and this complete guide shows how big data as a service helps manage, store, and analyse tons of data over the web and computer systems in various devices, tools, equipment, and operating systems.With BDaas, companies can carry out various business processes such as sales and marketing, customer service, accounting, and others quickly, easily, and accurately. Indeed, the role of BDaas in today’s fast-paced modern era can’t be discounted, transforming businesses and economies.