Big Data Challenges And Ways To Get Over Them

Big Data Challenges involve the best way to deal with large amounts of data, which involves the process of storing and analyzing a huge set of information on various data repositories. When dealing with problems, there are various big data  challenges that need to be taken care of with Agility.

Big data challenges

Data sources

Data can literally be anything in the world. So you can imagine the possibility of all kinds of sources that generate data in accordance with the goals or objectives of the company. This inevitably leads to big data integration challenges when it comes to combining data from sources such as social media pages, financial reports, employee documents, customer logs, presentations, emails.

Data growth

One of the maximum urgent Big Data demanding situations is storage. Data grows exponentially over time, and with that, companies face demanding situations in storing big quantities of statistics. Much of this statistics is extracted from images, audio, documents, textual content files, etc that are unstructured and now no longer in databases.

Real-time statistics

Data sets are a treasure trove of insights. However, datasets are of no value if no real-time statistics are drawn from them. Some may now define real time as instantaneous, while others may consider it the time between data extraction and analysis.

Data verification

An organization may obtain similar sets of data from different sources, but the data from these sources may not always be similar. Achieving mutual agreement on data and monitoring accuracy, usability, and security falls under a process called data governance.

Data security

Security can be one of the most difficult challenges for Big Data, especially for organizations that have sensitive corporate data or have access to a lot of personal user information.

Big data skills

Operating big data tools requires the expertise of data scientists, data engineers, and data analysts. They have the skills to handle big data challenges and come up with valuable insights for the company they work for. The problem is not demand, but the lack of such skills, which instead becomes a challenge.

Conclusion

In this growing data-driven economy, staying competitive is essential. While Big Data challenges can arise during any step, it is essential to understand that everyone has their own way of dealing with them.