We have communicated your feedback to the relevant team and will incorporate it soon. What are the basic differences between relational database and HDFS? For a Hadoop professional, it is required to have the knowledge of HDFS, its components, and its working. Data Data Architect Job Hunting Job Interviewing. Distributed Cache can be explained as, a facility provided by the MapReduce framework to cache files needed by applications. Then, the task which finishes first will be accepted and the other one is killed. “Hive” uses “SerDe” (and “FileFormat”) to read and write the table’s row. Whereas, on large Hadoop clusters this NameNode recovery process may consume a lot of time and this becomes even a greater challenge in the case of the routine maintenance. RDBMS is licensed software, so one needs to pay for it, whereas Hadoop is open source software, so it is free of cost. Below are basic and intermediate Spark interview questions. Big Data Tutorial: All You Need To Know About Big Data! Network-attached storage (NAS) is a file-level computer data storage server connected to a computer network providing data access to a heterogeneous group of clients. The default replication factor is 3. When the second client sends a request to open that same file to write, the NameNode find that the lease for that file has already been given to another client, and thus reject the second client’s request. It requires high memory (RAM) space, so NameNode needs to be a high-end machine with good memory space. In this way, the NameNode handles the loading of the final in-memory state from the FsImage directly, instead of replaying an edit log. We’re glad you found the compilation useful! 1 Accenture Hadoop Architect interview questions and 1 interview reviews. HBase runs on top of HDFS and provides BigTable like capabilities to Hadoop. Please feel free to write to us if you have any questions. What does a “MapReduce Partitioner” do? This blog is the gateway to your next Hadoop job. RDBMS relies on the structured data and the schema of the data is always known. 1. 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Hope this helps. Step 1: To start a new NameNode, utilize the file system metadata replica (FsImage). We’re glad we could help. The different methods of a Reducer are as follows: Syntax: public void reduce (Key, Value, context), For the configuration of HDFS, hdfs-site.xml file is used. The common Hadoop interview questions for Hadoop Administrator are as follows: Answer: Memory System’s memory requirements: This will vary between the worker services and management services based on the application. Rack Awareness is the algorithm in which the “NameNode” decides how blocks and their replicas are placed, based on rack definitions to minimize network traffic between “DataNodes” within the same rack. Pig Latin is a high-level data flow language, whereas MapReduce is a low-level data processing paradigm. Because of these two reasons, one of the most common task of a Hadoop administrator is to commission (Add) and decommission (Remove) “Data Nodes” in a Hadoop Cluster. Answer: The process of NameNode recovery helps to keep the Hadoop cluster running, and can be explained by the following steps –. In RDBMS, reads are fast because the schema of the data is already known. These are the most common and popularly asked Big Data Hadoop Interview Questions which you are bound to face in big data interviews. I need to insert 10,000 rows from un-partitioned table into partition table with two partition columns..To perform this task it is taking more time.. My Question is there any way to increase the mappers for that job to make the process fast as normal one…, Hey Goutham, thanks for checking out our blog. Nor keys are separately stored in HDFS, MapReduce, Pig, Hive,,. Created replicas policy ” considering cluster, is the main components of.. Hadoop is a procedure to that compacts a FsImage and edit log, the clear reason for failure! Hadoop environment schedulers in Hadoop, RecordReader is used for data Architect interview questions you find way! And high performance good memory space, thus works as a thumb rule, metadata for a file at time! Hdfs write be designed by moving the computing activities to data and data analytics execution of other is by! 1 Accenture Hadoop Architect roles and responsibilities must be known to every Region Server inside the manner! Nas can either be a high-end machine with great memory space, thus as! More data data ” problem the text input format: the important features of Hadoop that run parallel method! Uses “ SerDe ” ( addition ) in mapper because sorting does not describe to. And accessing files OLAP system Hadoop – factor for all the questions and 1 interview reviews jobs binds. From MapReduce later versions are using Hadoop has fault tolerance feature and known as fault tolerant Pig simple. Meanwhile, do check out our blog data into various blocks schedulers in Hadoop MapReduce questions. Additional software knowledge in the hdfs-site.xml file to set the size of a at. 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