The term Big Data describes the large volume of data (structured or not) that day by day originate from the usual activity of a company. But the really important thing is not how much data we have, but what we are going to do with them. Getting into the world of ” Big Data ” can be key to business, and how to take advantage of all the information that is generated in the day-to-day activity, but if it is not well defined, it will be a time-consuming project and resources, without adding value to the company. If you want to know what Big Data is , I encourage you to read this entry.
Big Data is not just a lot of data
In addition to having a large volume of information , to talk about Big Data we must take into account other “Vs”, in particular the three:
Volume: The data in the society of information grow at an exponential rate. The data of the IoT sensors that measure humidity, position or temperature, social networks, mobile devices… are added to the usual daily operational data , such as commercial transactions .
Variety: As we have said, the sources of information are many, and each one has a different format. We have data structured databases of data traditional as well as text documents, videos, emails, tweets ….
Speed: One of the most important characteristics of Big Data is the need to give a response “almost” in real time. With the technological advances of recent years has made it possible to manage and process the large volumes of data heterogeneous within a reasonable time. In a Big Data project it is possible to add data sources (such as logs) that were not previously used because technologically it was not possible to process them in real time.
When talking about speed it is necessary to take into account that the source data streams will not only have different formats, but that they will arrive with different cadences, even in bursts, and it is necessary to treat them properly.
To these three characteristics, different analysts usually add two more:
Truthfulness: As they say “Garbage in, Garbage out”, if the data you enter is not good, what you get from it will not be either. And since the ultimate goal of analyzing all this data is to make decisions that affect the company’s strategy, such data must be reliable. For this it is necessary to verify the origin of the data and eliminate the incorrect ones, to obtain quality data.
Value: The ultimate goal of any Big Data strategy is to generate value for the company, based on more thorough and thorough analyzes. It is this V that is truly important in Big Data, as it is the one that provides business insight.
The Big Data Training Institutes In Bangalore provides a deep understanding of the Hadoop framework, including HDFS, YARN, and MapReduce, and you will also learn how to use Hive to process and analyze large data sets and Sqoop for data ingestion. In it you will learn through theoretical and practical lessons and you are ready to apply the concepts in your day to day. If you are looking for big data training institute in Bangalore choose the best who can guide you to reach your goal.