Big Data Analytics and Management
With the globe evolving at such a high pace, big data analytics upholds huge importance. It collects, reviews, and analyzes the data so as to find the latest market trends, insights, and patterns that can extensively help businesses in better decision making. Here we’ll delve deep into big data analytics and examine its background. Let’s explore!
What is Big Data?
Big data is basically the grouping of certain data sets that can’t be stored, processed, or analyzed using standard data analysis techniques. There are many sources of data that deliver information quickly. This also takes into account various social media channels since they provide relevant data insights.
You can consider Facebook, which produces over 500 gigabytes of data on a daily basis, including texts, videos, photos, etc. Also, data is segregated into different categories, which mainly include structured, semi-structured, and unstructured formats.
Data in a typical Excel sheet is categorized as structured data (data with a clear format). Emails fall under the category of semi-structured data, whereas images and videos fall under the category of unstructured data. All of these pieces of data are majorly combined to create big data.
Why Is Big Data Analytics Important?
In the modern world, big data analytics powers all of our activities across the online globe. Spotify, an app from which one can easily listen to music, is an excellent example of the same. A huge amount of data is produced every day by the company’s almost 96 million consumers.
Based on these data insights and a robust recommendation engine that considers various factors, including likes, shares, search history, etc., the cloud-based platform automatically delivers suggested songs. The methods, apparatus, and frameworks that business analytics has produced are what make this possible.
If you use Spotify, you would have definitely noticed the top recommendations section. This is based on your tastes, past usage, and other criterias. It is efficient to employ a recommendation engine that uses data filtering technologies, which collects data and then filters it using specific algorithms. It does this with Spotify.
What Is The History of Big Data Analytics?
Big data analytics has quite a long history, dating back to when businesses first began using computers to store and analyze massive amounts of data.
Big data analytics truly took off in the late 1990s and early 2000s when businesses began to rely more and more on computers to help them make sense of the exponentially increasing volumes of data produced by their operations.
Across a wide number of industries today, big data analytics is a crucial tool for businesses of almost all sizes. Organizations are now able to learn things about their customers, their markets, and the environment in general that were before impossible. This is made feasible by leveraging the power of big data.
In the coming years, we anticipate seeing even more incredible and revolutionary applications of this technology as the concept of data interpretation continues to develop.
Since data affects every aspect of our lives nowadays, there is a great need for experts who can interpret it. If you want to learn more about big data analytics or launch a big data career, then Education Nest is what you seek.
You can easily enroll in courses like Data-driven Decisions with Power BI and explore big data analytics in-depth.