Data is the most critical factor in the business world today. It is everywhere and is a part of our daily lives much more than we realize. This has given birth to different technologies, methodologies, and systems. There is also a massive need for professionals who know the basics of big data and data analytics. These two terms share some similarities but they are very different from each other. Today we will discuss the difference between big data vs data analytics.
Let’s start with understanding the two concepts.
What is Big data?
Big data is the massive amount of raw and unstructured data that comes from several sources. Big data is high in veracity and thus requires high computing power to process. You can collect this data from various ways like social media, the internet, and computer. These data are further used to analyze and process. It helps in making better and informed decisions for growing business.
What is Data Analytics?
Data analytics is the process of analyzing the data. For instance, we analyze the data to extract meaningful data insights from a given data set. These analytics techniques are being used on big data. Not only this but we can also apply it to any data set.
Organizations prefer data analytics to make informed decisions. The decisions depend on patterns, behaviors, trends, preferences, or any type of data. We extract from any given collection of data.
Now when you have understood both the concepts. Let’s go a little further and discuss big data vs data analytics.
As a big data consulting company, we are often asked this question. So, we decided to clear your confusion. Let’s start.
Big data vs Data analytics: What is the difference?
In data analytics, the data will be already structured. It is thus easy to find an answer to any complex question. Data analytics have these types-
But, Big Data is an unstructured set of data. Further, we sort this unstructured data to solve any issue. It is hard to process these massive volumes of data. You need to apply lots of filters to find some meaningful insight into Big Data. There are three types of big data-
Another area of comparison of big data vs data analytics is the nature of both of them. Data Analytics is like a book, ask the question and you will get the solution to your problems. But, Big Data is like a Big Library. You have all the answers but it gets really difficult to find them.
Tools and Technologies
Many solutions are available to manage big data. There are cloud providers like AWS, Azure, and GCP. They offer their own data warehousing and data lake implementations. Moreover, there are also specialized providers, like Snowflake and Apache Hadoop. They provide robust big data solutions.
But, data analytics has both open and commercial products. They range from simple analytics tools such as Microsoft Excel’s Analysis ToolPak to SAP BusinessObjects suite. Similarly, there are also open-source tools such as Apache Spark.
Industry Use Cases
Another comparison of big data vs data analytics is the types of industries using these two technologies. IT Industries, Travel Industries, and Healthcare Industries use data analytics. Data Analytics allows these industries to search for new horizons of development. We use this using historical data and analyzing past trends & patterns.
Banking industries, retail industries, and organizations deal with massive amounts of data daily. They use big data services. In addition, it helps industries in taking important strategic decisions.
Big data and data analytics are helping organizations in tackling enormous data sets. They extract valuable information from them. The importance of data is growing exponentially. In the future, it will be the most essential component. As we discussed the fundamental differences between big data vs data analytics. We understand the fact that both are important. you are looking for a big data development company, you are at the right place. Ksolves is a leading big data development company in India and the USA. Our big data consulting services have garnered praise from all over the world. Our qualified and talented big data experts have delivered easy solutions to many complex big data challenges. Write your queries in the comment section below or give us a call today to book your free demo.