Traditionally, businesses were using Microsoft Power BI and Tableau to store the company’s data. However, as the world is moving towards a digital society, it is becoming a challenge for businesses to store and handle the massive amount of data.

 Overview of Big Data

The term Big Data refers to an amount of data that is growing in size. Such data can not be managed using traditional tools and techniques; thus, it requires an efficient processor. There are three basic forms of big data; structured, semi-structured, and unstructured. Big data analytics is the procedure of highlighting the insights and patterns in a large number of data.

Scope of Big Data

As the quantity of data is increasing daily, the technologies used for managing it are also getting complex. Companies are now integrating two or more technologies to make data management more efficient. The integration of multiple technologies requires companies to hire candidates with a specialization in big data leading in the creation of new job roles in the market. Some of the job roles of big data are mentioned below.

  • Big Data Engineer
  • Big Data Analyst
  • Big Data Analytics Architect
  • Big Data Solution Architect
  • Analytics Associate
  • Metrics and Analytics Specialist
  • Big Data Analytics Business Consultant
  • Business Intelligence and Analytics Consultant

 Benefits of Big Data

  1. Cost-effective: The use of Big Data assists the company in detecting and eliminating the errors of automated service schedules and invoice processing errors, which leads to cost-efficiency.
  2. Increase efficiency: The use of big data has increased the efficiency of employees. Tools like Google map and Google earth allows employees to perform their task while sitting on their desk, which results in efficiency and cost-effectiveness.
  3. Become a competition for others: As the need for big data tools is gradually increasing, the competition in the market is also rising. Using big data tools will bring your business efficiency and develop an intense challenge in the market among your competitors.
  4. Customer preference: Whether you have a small business or large, big data allows you to emphasize on your customer preference. Use the big data and get to know the likes and dislikes of your clients. Focusing on customer preference will assist you in developing competition in the market and creating an added advantage for your business.
  5. Boost up sales and customer loyalty: Big data helps companies to tailor their products and services according to customer preference, which results in increasing the sales and loyalty of customers towards the brand.
  6. The right person for the right job: As the world is pacing towards the digital era, companies do not rely on printed resumes and head hunters to find employees for the job. LinkedIn is a social platform that helps recruiters to find the right candidate who matches the job description.
  7. Enhanced pricing: Pricing is one of the crucial elements of a business. Companies usually fail to allocate the right price to the product. Big data manages to reduce the direct and indirect costs of the business; therefore, the prices can be set to the extent to which customer is willing to pay.
  8. Time reduction: The big data reduces time by its high-speed tools like Hadoop and in-memory analytics. The two tools identify sources of data and assist decision-makers in evaluating the data and making decisions accordingly.

Overview of AWS Cloud

Amazon web services provide cloud computing platforms to individuals, businesses, and governments. The platform offers 175 featured services globally from its data centers. Other than a cloud provider, AWS cloud also offers technologies like computing, storage, database emerging technology.

Scope of AWS Cloud  

The use of cloud computing is becoming popular, resulting in job roles for IT professionals. To make the best use of AWS cloud computing services, it is important to hire a certified candidate. AWS training plays an important role in enhancing the skill set and knowledge of an IT professional. The rapid increase in the usage of the AWS cloud has created multiple job opportunities in the market; some of the examples are mentioned below.

  • Operational Support Engineer
  • Cloud Software Engineer
  • System Integrator-Cloud
  • Cloud Developer

Benefits of AWS Cloud

  1. Easy to use: The AWS management console has a user interface design. The server provides access to several applications and services without requiring any technical expertise.
  2. Wide-range of tools: AWS provides a wide array of tools such as database, software, analytics, mobile, and networking. It provides all cloud computing tools to IT professionals and increases effectiveness.
  3. Server capacity: The AWS provides an unlimited server capacity for highly trafficked websites and secures email hosting services.
  4. Steady encryption and security: AWS offers a high-security service to keep your data safe.
  5. Available IT services: One of the great benefits of AWS is that it provides managed IT services. The IT services not only keeps your data secure but also helps your business to run smoothly.
  6. Flexible: The AWS offers flexibility by offering various IT infrastructure options, which include OS, programming language, and web application platform.
  7. The economy of scale: The AWS IT infrastructure options are available at an affordable rate, which provides a higher economy of scale.
  8. Global recognition: AWS has recognized itself globally. The use of AWS cloud computing will not only benefit you internally but with the high-speed services of AWS, your brand can gain global recognition.

Integrating AWS and Big Data

Big data is a large amount of data, whereas AWS is a platform used to access the data. The two systems work together to produce efficient results. Amazon Web Services now provides companies to run big data using the AWS cloud. The AWS is developed to manage services that are fast yet cost-effective. The AWS fully supports the tools of big data such as Hadoop, making it easier for businesses to analyze the log data. Moreover, the reference architectures, whitepapers, guide, self-paced labs, in-person training, and videos published on the AWS official webpage assist the professionals to learn and build big data on AWS.