JavaMakeUse: Learn Java, Python, AI, Cloud & More

Big Data is one of the biggest demanding technology in the next few years, although it's already in the tech-market but with limited data scientist resources. So if you don't know anything about the Big Data than, it's not too late yet, go get it to add into your resume. Anyway, In this post, I'm going to list down few very popular Big Data interview questions asked in Data scientist interview, although you can take an overview of Big Data from my previous post What is Big Data . Top 10 Big Data Interview Questions 1. What Is Apache Hadoop? The Apache Hadoop is an open source framework, based on distributed file system to process the large volume of data into the distributed environment also known as clustered environment using simple programming model and commodity hardware. Key features of Apache Hadoop are - Accessible - It runs on large cluster of commodity machines. Robust - Because highly fault tolerant. Scalable - It scales linearly to handle large ...

Big Data term is very popular in the market and common question to face in any Hadoop interview. After posting on java j2ee interview questions here at java, j2ee interview questions for experienced , now I am planning to start sharing the Hadoop real time interview questions. Although in my previous post, I have shared with the very first Hadoop interview question known as What is difference between MapReduce and RDBMS here and in this post going to tell you the concept/term of Big Data. What is Big Data? Nowadays we are surrounded with data, not only data, but huge amount of data(structure,semi-structure and UN-structure data), it's not easy to measure the amount of data we live.  And the growth ratio of data is also very very huge. The sources of these data is web, mobile device and IoT, due to the size of data, it's very difficult to process these data sets using traditional RDBM model. Anyway, when we say big data it can be characterized using four VVVVs. V 1- Vo...

Hadoop is very popular and demanding nowadays in the tech-market, and going forward for any interview related to Hadoop of course the first question will, what is differences between MapReduce and traditional RDBMS. Of-course the popular question is what is MapReduce? We will see later about MapReduce in separate post, here I am going to show you the key differences between MapReduce and RDBMS. MapReduce Vs RDBMS MapReduce suits in an application where the data is written once and read many times like in your Facebook profile you post your photo once and that picture of your seen by your friends many times, whereas RDBMS good for data sets that are continuously updated. The RDBMS is suits for an application where data size is limited like it's in GBs,whereas MapReduce suits for an application where data size is in Petabytes. The RDBMS accessed data in interactive and batch mode, whereas MapReduce access the data in batch mode. The RDBMS schema structure is static, whereas MapRe...