Introduction: As the world is going digital, we are generating an enormous amount of data every day. This data is, high in velocity, large in volume, and diverse in nature. Professionals are needed. To handle this type of data, (BIG DATA) Such data will continue to grow rapidly over the course of time. Today we have BIG DATA to handle this. Tomorrow some other mechanism may come up. But there will always be a demand for professionals who can align themselves to this changing pattern.
What is Big Data?
Data that is big in volume is known as big data. This data is large in size that none of the traditional data management tools can store or process the data efficiently. Usually, the size of the big data is usually larger than terabytes and petabytes.
How Big Data is used strategically and its uses?
Big Data is typically generated from the external environment especially that relating to customers. It includes structured and unstructured data. It is used for understanding shifting customer preferences, needs, and wants. This could help create entirely new customer segments or new products/services. A lot of devices can also generate big data and can be used for operational improvements. However, there is also a lot of hype about this technology. Many organizations have not yet mastered the ‘small data’ or the data they already have to draw necessary insights and inferences to improve their services and products.
Applications of Big Data
Communications, Media, and Entertainment.
Banking and Security.
Manufacturing and Natural Resources.
Retail and Wholesale Trade.
Four V's to identify Big Data from normal data: Volume: Obviously, the glaring differentiating factor is the amount of data.
Velocity: The real-time data that is generated from healthcare and RFIDs of vehicles.
Veracity: The integrity and usefulness of data obtained.
Variety: Type of data that is being generated and processed.
What are Big Data skills?
Big Data skills will surely help you to boost your career in big data. As big data technologies are providing companies and industries the better decision-making and improved customer service, they are hunting for big data skills.
Big Data skills include: -
Data handling Skills.
Should possess Knowledge of different Tools & Technologies for Big Data Analytics.
The tools required in the Big Data industry: -
R Programming Tool.
What is Big Data Analytics? Big data analytics uses advanced analytic techniques against very large and diverse data sets that include structured data, semi-structured data, and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Benefits of Big data analytics
Real-time forecasting and monitoring of businesses and the market.
Identification of crucial points and patterns hidden within large datasets to influence business decisions.
Diversification of revenue streams to boost company profits and ROI.
Mitigating risks by optimizing complex decisions for unforeseen events and threats.
Using customer data to create custom-made products, services, offers, discounts, etc.
Quick response to customer requests, grievances, and queries in real-time.
Tools and technologies that are used to support big data analytics
Hadoop: It is an open-source framework for storing and processing big data. It can handle large amounts of structured and unstructured data.
Spark: This is an open-source cluster computing framework used for batch and stream data processing.
NoSQL databases: These are non-relational data management systems that are useful in working with large sets of distributed data.
Conclusion: Big Data is a computing term, defined, according to Google, as “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions”. What that basically means is, big data is all the information that is being collected by a company taking advantage of today’s computer & telecom technologies about the people visiting, interacting, and using their computerized technology.