What is Big Data Concept?
In the last two years, big data has entered the arena of discussion in business circles all around the world. As an entrepreneur or a business leader who is eager to adopt advanced technologies and boost organizational productivity, you might have wondered what are the big data concept and what it can do for your business? Today, many of the top businesses are using big data analytics, and the benefits they derive from this are undeniable. But what is big data concept, what are its implications for businesses today and what measures should be taken in order to integrate big data technologies into your organization?
The answer to this question lies in understanding the basics of big data analytics. Big data simply refers to real time data sets which are processed by powerful and complex algorithms. These algorithms take the size, the gravity and other characteristics of the data sets and use this information to function and achieve specific goals. Two of these goals are to enable companies to gain competitive advantage and achieve superior customer satisfaction.
When we talk about what is big data concept, we basically refer to two different technologies that are used by many of the leading enterprises today. The first technology is known as unstructured data warehousing, which means that the management of large amount of data is done without the use of structured data. Unstructured data warehousing is usually implemented with the help of Map-Reduce framework. This framework can efficiently manage streaming heavy data sets. It also allows users to extract the useful information from the unstructured data sets, which is then used in the day-to-day operations.
The second technologies used by many organizations today for what is big data concept are graph and social media analytics. Graph is well known as a powerful data processing technology that allows the extraction of action oriented data sets that can be converted into valuable information. The primary goal of social media analytics is to discover the relationships among people and different products and services.
On the other hand, Hadoop Distributed File System is used for big data analytics. The HDFS data lakes allow users to store large amount of data sets on large clusters. Hadoop Distributed File System can efficiently manage large amount of data sets while using less server resources, making Hadoop a good choice for most of the enterprise data-processing needs.
Both Map Reduce and Hadoop have their own advantages. The Map Reduce technique is ideal for managing and storing large amount of unstructured or unproductive data. Hadoop’s key features include high availability, high scalability, and low cost. On the other hand, traditional database management techniques like traditional database management system (TDS) and in-house developed softwares are beneficial for managing small amount of data. However, many businesses find it difficult to manage unstructured data and unproductive data sets, and thus, they choose to adopt Hadoop for streaming and batch data processing.
The Hadoop framework is designed for the long-term as well as the short-term benefits, and this is why many enterprises are gradually moving towards Hadoop to get the maximum benefits from the software. But what is the big data concept? The big data concept is basically a collection of technologies and methodologies that enable large companies to efficiently deal with large amount of data. In this regard, Hadoop was designed for the purposes of handling large amounts of unstructured or unproductive data sets.
What are the big data concept and how does Hadoop helps organizations in data mining? As this concept is relatively new, many IT professionals do not have a clear view about what the main aim of big data is. However, the experts suggest that the aim is to efficiently exploit the massive capacity of Hadoop and to use it for providing services and applications that are more effective and efficient than the ones that existed before. So, what are the big data concept and how does Hadoop help in this regard?