Common Challenges of Big Data and How to Overcome Them

Wednesday, August 2, 2017

Common Challenges of Big Data and How to Overcome Them

Big data offers a lot of opportunities to the few companies who use them. However, one main reason why a larger percentage of the corporate world is yet to embrace big data is because of the challenges it faces.

Here is a roundup of the five most common challenges and how to overcome them.


Big data analytics require a huge amount of technical infrastructure to function optimally. Not to mention, it consumes a lot of resources, bandwidth and storage. This means that the number of tools you will need to get something meaningful out of big data will be huge. Your company may not have enough money to purchase all these tools.

The best way to overcome this challenge is to use cloud-based platforms for your big data needs. The cloud allows you to establish big data infrastructure as quickly as possible and at a lower cost. It is important to take into consideration the amount of infrastructure your require before you purchase any cloud service. Once you know how much you need, select the right cloud vendor. A good vendor should not charge too highly for the services. He must also have a solid support system.

Predicting IT Infrastructure Requirements

The increasing data growth and usage poses some serious challenges to the company's infrastructure. You must know how much storage capacity you have now and how much you will need. In addition, you must come up with a plan on how to grow the existing infrastructure in line with the future business needs. This process is quite cumbersome and may consume a lot of resources. The best solution here is to come up with an alternative strategy that will help you visualize and optimize the current capacity of the company. You can also use predictive modeling to predict future usage of big data and forecast infrastructure growth.

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Complicated Hadoop

Hadoop allows users to handle large volumes of unstructured and structured data easily. However, many companies still fear big data because of its complex nature. Hadoop clusters and other forms of software are incredible tools, but often require a colossal amount internal resources to implement and maintain. Companies who use these tools spend a larger percentage of their resources on the technology rather on the real big data problem they want to solve. The advantages of becoming familiar with hadoop yourself are huge, but also consider letting someone who knows how to handle it help you. You can hire a company to run and maintain the system or employ someone on a permanent basis.

Securing of Data

No company wants to be a victim of a major data breach. That is why most of them are reluctant to embrace big data. One major security challenge in big data involves privacy, especially in cloud-based platforms. The proliferation of data has made it difficult for companies to keep pieces of information together when using big data. The best way to overcome this challenge is to safeguard distributed programming networks such as Hadoop and Kerberos. This involves decoupling all personal information that passes through these programs to ensure personal privacy is not compromised.


Big data projects grow and evolve. They are also unpredictable, meaning it is difficult to allocate resources to each project. This presents a lot of problems to companies who do not have enough resources to handle these constant changes. Also, the scalability issues lead to the usage of cloud computing. This means that organizations must come up with various platforms to link the cloud and their systems. This is very expensive and comes with new challenges, such as how to execute various tasks and system failures.

Companies can handle scalability issues using high-tech solid-state drives to replace hard disks. Solid state drives offer unlimited storage space. They are also less prone to physical damage and system failure.

Big data can help your business grow tremendously if you take the time to study and understand its aspects. This includes knowing the benefits you could get and the potential challenges you could face. You must also know how to overcome these challenges to get the most out of your big data usage.

By  Mark PalmerEmbed

Author Bio - Mark Palmer is a small business expert and has a passion for helping entrepreneurs make the most out of their company. As a freelance writer, Mark hopes to influence others so they can have a positive business experience.


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