5 Terms You Must Know To Speak About Big Data

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Big data analytics can help your business to manage information more efficiently which can lead to higher profits and happier customers. 

If you're new to the field, understanding big data technology may be hard due to the number of terminologies exclusive to this industry.

To help you understand your analytics, we've gathered a list of five terms you must know to understand big data terminology. Keep reading to learn more. 

What is Big Data?

In simple words, big data is a term used for a collection of massive sets of information so large and complex that regular tools have a difficult time processing the information. 

These massive volumes of data can be used to address problems in your data that can't be solved with regular data analysis. This new technology allows your business to solve problems you wouldn't have been able to before.

How Big Data Works

Technology is always creating new data. A great example of how data works is when you use your smartphone to chat with friends or make purchases online. Everything you type and search for is tracked, creating a data trail.

These amounts of data are massive as there are billions of gigabytes of data generated per day from people's browsing activities.

A business or analytics agency then uses all of these data points to create, customize, and improve their products to improve customer experiences and grow their businesses.

Big Data Terminologies

Now you know what big data is and how it works. However, there is a lot more to learn about this technology. There are a number of terminologies that will help you understand more about big data.

1. Hadoop

This is a framework that allows you to move and distribute large sets of information using a simple program model. As open-source software, anyone can change it to meet their specific needs.

2. Algorithm

An algorithm is basically a set of procedures or rules used for solving a particular issue. It can also be used as a mathematical formula or statistic process to manage big data.

3. Batch Processing 

Batch processing is an efficient way to manage a large amount of data. It sets up an automated process which is used to sort data for easy access for business. Batch processing are thousands of automated processes that support real-time delivery of products and services.

This concept has actually been around since the early computing days. However, this term has gained popularity alongside big data because of how often it's used in this technology.

4. Velocity

This refers to the speed at which data is collected. To collect larger amounts of data in a short period of time, you'll have to be sure your servers can handle high-velocity data acquisition.

5. Analytics

Analytics simply refers to the way you use big data to help your business. You may use predictive analytics to try to see where market trends are going, or descriptive analytics to study how things are at the moment.

The use of e-commerce analytics is also important in the business world. Most businesses use these analytics to enhance and generate more sales.

Want to Learn More About Big Data Technology?

Now you know five terminologies to help you understand how big data technology works. As you can see, these terms will come handy when trying to understand how your business data is analyzed.

If you're looking to learn more about big data technology, check out our blog. Our post on data security will help you protect your company's sensitive information.

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