Today, the universe of data is continuously expanding at a speed that is much more than expected. At the start of 2020, the amount of data generated was estimated to be a little over 44 zettabytes! I’m sure it has well surpassed these numbers today.
This data is immensely complex and exists in the form of structured and unstructured data sets transmitted from a variety of sources and is known as big data
With this blog, let’s explore the what’s and why’s of big data, its importance, trending platforms, and its key results- diving into the depths of the big data ocean.
Big data refers to a large, diverse set of information that is growing exponentially. It often comes from data mining and is present in multiple formats. Big data attributes encompass the size, speed, and diversity at which the data is created and collected. These key attributes collectively form the three Vs of big data.
We know that a massive amount of data is being generated constantly, but it’s equally important for companies and organizations to manage, store, visualize, and analyze it.
Traditional data tools aren’t equipped to handle this kind of complexity and volume, so, here are some modern-age big data platforms that can help businesses manage their data and thrive using it.
In this competitive environment, each major big data platform offers slightly different functionalities to users according to their varied needs. Here are some of the exceptional big data platforms which are popular in the market:
To get valid and relevant results from big data analytics applications, data scientists have built practices for data preparation, data profiling, data cleansing, data validation, and data transformation.
Using customer data as an example, the various branches of analytics that can be explored with different sets of big data include the following:
In an organization, developing a big data strategy requires a fair understanding of business goals, analysis of organizational data, and assessment of the need for additional data to help meet the business objectives. Here’s how an effective big data strategy can be built along with experienced service providers:
Big data is gaining importance in organizations to manage their datasets no matter what size they are. So, I would say, it’s the best time for you to get started with an effective big data strategy by focusing on the above points to mitigate future risks and achieve business goals.
At last, wrapping up my blog. I hope it helped you understand big data, its importance, and the benefits you can achieve. If you wish to explore the big data ocean more, reach out to our dedicated big data specialists.
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