What is Hadoop administration?
Hadoop Administrators are primarily responsible for keeping the Hadoop clusters running smoothly in production. They administer and manage the Hadoop clusters and also other resources in the Hadoop ecosystem. The role of a Hadoop Administrator is a customer-facing one.
What are the responsibilities of the Hadoop admin?
DBA Responsibilities Performed by a Hadoop Administrator: Data modelling, design & implementation based on recognized standards. Software installation and configuration. Database backup and recovery. Database connectivity and security.
How does Hadoop work in big data?
Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.
What are the interview questions for Hadoop admin?
Hadoop Admin Interview Questions
- RDBMS vs Hadoop?
- Explain Big data and its characteristics?
- What is Hadoop and list its components?
- What is YARN and explain its components?
- What is the difference between a regular file system and HDFS?
- What are the Hadoop daemons and explain their roles in a Hadoop cluster?
How can I learn Hadoop administration?
In this course you’ll learn:
- How to Plan and Deploy a Hadoop Cluster.
- How to load Data and Run Applications.
- Configuration of a Hadoop Cluster.
- Performance Tuning of Hadoop Cluster.
- How to Manage Hadoop Cluster.
- Maintaining a Hadoop Cluster.
- Monitoring a Hadoop Cluster.
- Troubleshooting a Hadoop Cluster.
Is Hadoop admin a good career?
Short answer is Yes. For those who are trying to start their careers, you can pick up Hadoop administration with relative ease. Also when you are trying to jump start your career, it is best to start your career in a field which is strong and has a lot of demand. Hadoop perfectly fits that criteria.
What are three features of Hadoop?
Features of Hadoop
- Hadoop is Open Source.
- Hadoop cluster is Highly Scalable.
- Hadoop provides Fault Tolerance.
- Hadoop provides High Availability.
- Hadoop is very Cost-Effective.
- Hadoop is Faster in Data Processing.
- Hadoop is based on Data Locality concept.
- Hadoop provides Feasibility.
What will you do when NameNode is down?
When the NameNode goes down, the file system goes offline. There is an optional SecondaryNameNode that can be hosted on a separate machine. It only creates checkpoints of the namespace by merging the edits file into the fsimage file and does not provide any real redundancy.
What is big data admin?
Data Engineers & Big Data Administrators Data Engineers wear many hats in Data Analytic workflows, one part software engineer and one part systems administrators. The Big Data Administrators are responsible for keeping Hadoop, Kafka, Ambari, and other frameworks running.
Does Hadoop admin require coding?
1 Answer. Although Hadoop is a Java-encoded open-source software framework for distributed storage and processing of large amounts of data, Hadoop does not require much coding. Pig and Hive, which are components of Hadoop ensure that you can work on the tool in spite of basic understanding of Java.
Can a non it person learn Hadoop?
However, it is not uncommon to find beginners with a non-IT background or with no programming knowledge learning Hadoop from scratch.
Does Big Data require coding?
Essential big data skill #1: Programming Learning how to code is an essential skill in the Big Data analyst’s arsenal. You need to code to conduct numerical and statistical analysis with massive data sets. Some of the languages you should invest time and money in learning are Python, R, Java, and C++ among others.
What are the two major layers of Hadoop?
Hadoop Framework 1.2 Hadoop Architecture There are two major layers are present in the Hadoop architecture illustrate in the fig2. They are (a)Processing/Computation layer (MapReduce) (b) Storage layer (Hadoop Distributed File System).
What are the two major components of Hadoop?
HDFS (storage) and YARN (processing) are the two core components of Apache Hadoop.