Learn How to Handle Big Data Analytics Challenges by Applying the Right Metrics


In this digitalized world, the amount of data produced by large business organizations is growing at a rapid pace. Today, every large company is struggling to find ways to store, manage, utilize, and analyze the data. Furthermore, you would be astonished to know that the data produced by large business enterprises is growing at the rate of 40 to 60% per year. However, simply storing this massive amount of data won’t be useful for your business. This might be the reason why business enterprises are looking at options like building data lakes and using the latest tools and technologies that can help them in handling big data analytics challenges to a great extent. With no further ado, let’s take a quick look at some big data analytics challenges faced by large business enterprises and how to overcome them.

1. Handling voluminous data in less time

Handling the data of any large organization is a challenge in itself, but when it comes to handling voluminous data in a short span of time, the task becomes even more challenging. Though options like building data lakes are used by enterprises to collect and store a large amount of unstructured data in its native format. However, the problem is that when a data lake/ warehouse try to combine the unstructured data from diverse sources, it encounters errors. Also, we know that critical business decisions need to be taken instantly and effectively and for that, it is important to have a strong IT infrastructure, which is capable of reading the large sets of data faster and deliver real-time insights. To overcome this challenge, we suggest you use Apache Hadoop’s MapReduce that is helpful in splitting the data of the application into several small fragments. This process makes the data scalable.  

2. Visual representation of the data

Another big challenge is the visual representation of the collected data. Handling voluminous data and then representing that data in a visually attractive form could be a challenging task.  To handle this problem, you may represent the data in the form of charts, graphs, dashboard, or any other format that makes it easily readable and understandable by the audience.

3. Dearth of professionals who understand big data analysis

The analysis of the data is vital to make this voluminous amount of data produced by your organization, useful.  With the rise of data, a great demand for big data analysts has been generated in the job market.  However, there is not enough talent in the market. In other words, there is a shortage of professionals who understand the big data analytics. What you can do is organize corporate training in data analytics to upskill your existing workforce and bridge the talent gap in your organization.

This is how you can handle the challenges of big data analytics in your organization. If you also know some other ways, don’t forget to share with us.   

Location: Bengaluru, Karnataka, India

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