Data Science Course Malaysia

360DigiTMG Provides the Data Science Course with 100% Practical Sessions. Learn Data Science Course from Scratch in Malaysia with 20+ Years of Experienced Faculty. 360DigiTMG Provides Online Video Access of Data Science Course Training Sessions. Learn Python, R Programming and Tableau.

1

INTRODUCTION

We have frequently heard many fascinating facts about the latest technologies like data science technology, digital marketing, machine learning, artificial intelligence, etc. If you are familiar with the implementation and working of these technologies, you would know that the most important stage or process of such technologies is the analysis of the data. The analysis of the data is done for deploying a satisfying result to the client. Big data analysis is a part of data science technology. Data science technology is the backbone of all the technologies we are implementing in our daily life. Now, we will discuss what big data analysis is. As the name of the technique says, it is the analysis of a huge amount of data. The data which is collected from the user is not collected in a structured format. There are many types of analysis. For example–> descriptive analysis, prescriptive analysis, etc. You might think that the analysis of the data is an easy task. But the analysis of the data has its own types. Each and every type of analysis has its own feature and advantage. Further, we will discuss how the data is collected, what is the need of big data analysis and why it is important. know more about data science course

COLLECTION OF THE DATA

As I said above, whenever the collection of the data is done, the data is not collected in an organized way. We are more attracted to the things which are arranged in an organized manner. That is why the collection of the data also needs to be stored in a structured format. Now, the next question which arises is, how we can store data in an organized manner? The answer to this question is that the data is stored in an organized manner using statistics. Statistics is a concept of Mathematics.  Statistics give a visual representation of the data. To analyze data deeply, the data needs to be visually represented. The arrangement of the data is an important part of the big data analysis. That is why the analysis of the data is important.

ENVIRONMENT FOR BIG DATA ANALYSIS

We have discussed above, what does the big data analysis mean? Big data analysis technology is the most used technology in the technical industry. The need for big data analysis is increasing because the amount of data of the people is increasing day by day, so the need of the analysis is also increasing. Now, we will catch on to the environment which is required for the big data analysis. The traditional methods which were used for the analysis of the data are of no use now. The new environments are introduced in the market for analysis of a huge amount of the data. Some of these environments are Hadoop, NOSQL, MapReduce, etc. All these environments are databases. So, these were some environments that are used for big data analysis.

CONCLUSION

Here, we have discussed what big data analysis is, the collection of the data in big data analysis and the environment used for analysis of the data. For more information, click here–> Big data analysis training.