Big Data Challenges

Now that you understand what big data is, it’s time to dive into some of the challenges organizations face in collecting, managing and analyzing big data. Because big data can be such an asset to your business, it’s important not to get intimidated by these challenges. We’re here to help you face them head on and tackle them. Here are four of big data challenges and how to conquer them.
4 Big Data Challenges
1. Managing Big Data Growth

With a name like big data, it’s no surprise that one of the largest challenges is handling the data itself and adjusting to its continuous growth. It is estimated that the amount of data in the world’s IT systems doubles every two years and is only going to grow.

The best solution for companies is to implement new big data technologies to help manage all of it. Below are a few different types of big data technologies:
Storage technology to structure big data
Deduplication technology to get rid of extra data that is wasting space and in turn, wasting money
Business intelligence technology to help analyze data to discover patterns and provide insights
2. Analyzing Big Data in a Timely Manner

Data is constantly coming in and from all directions, so how do you keep up and process it in a timely manner?

The most efficient way is to exclude some data from your analysis. Determine which data is most relevant and focus on that. This will save your organization time and money.
More Info: entry level comptia a+ jobs

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