How do I prepare for a big data interview?
Table of Contents
How do I prepare for a big data interview?
Big Data Interview Preparation
- Step 1: Know the essential tools and technologies. First and foremost, you need to update your skill set with the required technologies and tools.
- Step2: Follow Big Data Interview Preparation Tips.
- Step 3: Remember What to Do Post Interview.
Which Hadoop component should be used if a join of dataset is required?
Apache Pig is a high-level language platform for analyzing and querying huge dataset that are stored in HDFS. Pig as a component of Hadoop Ecosystem uses PigLatin language. It is very similar to SQL. It loads the data, applies the required filters and dumps the data in the required format.
What is the interview questions for Hadoop?
HDFS Interview Questions – HDFS
- What are the different vendor-specific distributions of Hadoop?
- What are the different Hadoop configuration files?
- What are the three modes in which Hadoop can run?
- What are the differences between regular FileSystem and HDFS?
- Why is HDFS fault-tolerant?
- Explain the architecture of HDFS.
How do Hadoop administrator handle data node crash and scalability of Hadoop system?
In HDFS, replication data is done to solve the problem of data loss in unfavorable conditions like crashing of the node, hardware failure and so on. Scalability – HDFS stores data on multiple nodes in the cluster, when requirement increases we can scale the cluster.
Is Hadoop a database?
Is Hadoop a Database? Hadoop is not a database, but rather an open-source software framework specifically built to handle large volumes of structured and semi-structured data.
Where is data stored in Hadoop?
Hadoop stores data in HDFS- Hadoop Distributed FileSystem. HDFS is the primary storage system of Hadoop which stores very large files running on the cluster of commodity hardware.
What is the schema type for Hadoop?
Schema on-Read is the new data investigation approach in new tools like Hadoop and other data-handling technologies. In this schema, the analyst has to identify each set of data which makes it more versatile. This schema is used when the data organization is not the optimal goal but the data collection is a priority.
Why MapReduce is used in Hadoop?
MapReduce is a Hadoop framework used for writing applications that can process vast amounts of data on large clusters. It can also be called a programming model in which we can process large datasets across computer clusters. This application allows data to be stored in a distributed form.
Why is HDFS block size 128mb?
The default size of a block in HDFS is 128 MB (Hadoop 2. x) and 64 MB (Hadoop 1. x) which is much larger as compared to the Linux system where the block size is 4KB. The reason of having this huge block size is to minimize the cost of seek and reduce the meta data information generated per block.
What is HDFS block size?
A typical block size used by HDFS is 128 MB. Thus, an HDFS file is chopped up into 128 MB chunks, and if possible, each chunk will reside on a different DataNode.
Does Hadoop use SQL?
SQL-on-Hadoop is a class of analytical application tools that combine established SQL-style querying with newer Hadoop data framework elements. By supporting familiar SQL queries, SQL-on-Hadoop lets a wider group of enterprise developers and business analysts work with Hadoop on commodity computing clusters.
What are HDFS commands?
ls: This command is used to list all the files.
What is JobTracker and Tasktracker in Hadoop?
JobTracker is the service within Hadoop that is responsible for taking client requests. It assigns them to TaskTrackers on DataNodes where the data required is locally present. If that is not possible, JobTracker tries to assign the tasks to TaskTrackers within the same rack where the data is locally present.
What is the full form of yarn?
YARN stands for Yet Another Resource Negotiator, but it’s commonly referred to by the acronym alone; the full name was self-deprecating humor on the part of its developers.
What is Mapper code?
Mapper code: We define the data types of input and output key/value pair after the class declaration using angle brackets. Both the input and output of the Mapper is a key/value pair. Input: The key is nothing but the offset of each line in the text file: LongWritable.
What are some Hadoop MapReduce based interview questions?
Job tracker is a daemon that runs on a namenode for submitting and tracking MapReduce jobs in Hadoop. It assigns the tasks to the different task tracker. In a Hadoop cluster, there will be only one job tracker but many task trackers. It is the single point of failure for Hadoop and MapReduce Service.
What are the top 10 interview questions?
10 thoughts after watching Senior Bowl practices and talking to folks from throughout the league, plus some leftovers from an eventful week at Halas Hall with the Chicago Bears introducing general manager Ryan Poles and coach Matt Eberflus.
How to prepare for Hadoop interviews?
What is the problem with small files in Hadoop?
How to find entry level Hadoop job?
– Seniority level Entry level – Employment type Full-time – Job function Engineering – Industries IT Services and IT Consulting, Computer Software, and Management Consulting
