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Revealing the Truth about the Top Big Data & Analytics Myths
The current age of Big Data is being dominated by Big Data Analytical technologies like Data Science, Artificial Intelligence, Machine Learning & Deep Learning technologies. Enterprises across industry verticals are investing heavily on these technologies to cash in the benefits of their Big Data reserves. The growing popularity of Big Data has given rise to several myths that needs to be debunked.
Revealing the Top Big Data Myths-
- Big Data Is Only For Big Companies
Another myth is that Big Data & analytics are only for the companies that have big budget, big teams & that are working across big platforms. Thus is just a myth like the others without any reality. The fact is that, analyzing Big Data would benefits small scale enterprise as much as it would benefit large scale enterprises. Both large scale and small scale enterprises will be using the same set of data analytical models & techniques & the only difference lies in the objectives & goals of their business. You build a successful career in the field of analytics with Data Science Training in Hyderabad program.
- Analyzing Big Data Is an Expensive Process
Another myth which is commonly heard when it comes to Big Data is that collecting, extracting & analyzing data is an expensive process. The fact is that, at present there are several there are multiple big data startups which offer analytics tools to assist businesses to scrutinize the data they collect at an affordable price. These tools will be assisting the companies at every step from processing Big Data to storing, analyzing, and visualizing the insights.
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Kumar Raja is a multidisciplinary writer, and lifelong learner. He’s a Digital Marketer in the making who spends his time analyzing the developments in the tech world. He’s very passionate about helping people understand the latest trends in the tech world through his well-researched articles. He’s able to condense complicated information about the latest technologies into easily digestible articles.