Blog Archives

01: ♥ Q1 – Q6 Hadoop based data hub architecture & basics interview Q&As

70+ FAQ Hadoop interview questions answered with lots of diagrams and tutorials to work in the sought-after bigdata space. 70+ Scala interview questions and answers are also covered as Scala is popular in bigdata. Q1. What is Hadoop? A1. Hadoop

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02: Q7 – Q15 Hadoop overview & architecture interview questions & answers

This extends Q1 – Q6 Hadoop Overview & Architecture interview Q&As. Q7. What are the major machine roles in a Hadoop cluster? A7. The three major categories of machine roles in a Hadoop cluster are 1) Client machines. 2) Masters…...

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03: Q16 – Q26 Hadoop MapReduce interview questions & answers

This extends 02: Hadoop overview & architecture interview Q&As. Q16. What is MapReduce? A16. MapReduce is a parallel programming model used for processing large datasets across 10 to 1000 of servers across the Hadoop cluster. A MapReduce program consists of…...

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04: Q27 – Q36 Apache Spark interview questions & answers

Q27. Where is Apache Spark used in the Hadoop eco system? A27. Spark is essentially a data processing framework that is faster & more flexible than “Map Reduce”. The Spark itself has grown into an eco system with Spark SQL,…...

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05: Q37 – Q50 Apache Flume interview questions & answers

Q37. Where do use Apache Flume in the BigData world? A37. Apache Flume is used to ingest big data into HDFS. BigData is generally ingested from 1) Sporadic bulk loading processes, such as database and mainframe offloads and batched data…...

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05: Q37-Q41 – Data lake & metadata interview questions & answers

Q37. What is a Data Lake? A37. A data lake is a storage repository that holds a vast amount of structured, semi-structured, and unstructured raw data in its native format (aka pristine condition). The data structure and requirements are not…...

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06: Q51 – Q61 HBase Interview Questions & Answers

Q51. Is HBase a relational database? A51. HBase is not a relational database. It is a NoSQL database. Hbase is a column-oriented (aka columnar) database management system, which runs on top of HDFS (Hadoop Distribute File System). Q52. What does…...

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07: Q62 – Q70 HDFS blocks Vs. splits & Spark partitions Interview Questions & Answers

Q62. Can you explain the difference between HDFS blocks and input splits? A62. A block is a physical representation of data, and a Split is a logical division of your data or records. For example, an input split might split…...

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08: ♦ Q71 – Q75 ETL/ELT on BigData Interview Q&As

Q71. Can ETL in traditional data management (E.g. RDBMs) be migrated to EDH (i.e. Enterprise Data Hub) powered by Hadoop eco system? A71. Yes, it can be migrated, but it is not a direct & straight forward migration as there…...

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09: ♦ Q76– Q79 BigData Partitioning, Bucketing & De-normalization Q&As

This extends Q71 – Q75 ETL or ELT on Hadoop Eco System Interview Q&As. Q76. What are the 3 key considerations in processing data in HDFS compared to traditional RDBMS or EDW (i.e. Enterprise Data Warehouse)?AQ76. 1) partitioning, 2) bucketing,…...

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10: ♥ Q80 – Q87 HBase Schema Design Interview Questions & Answers

Q80. Why is schema design for HBase is different from relational database design? A80. HBase is a columnar NoSQL database. This means no two rows in a table need to have the same columns. In a columnar database table, each

Posted in Hadoop, Spark & BigData Q&As, NoSQL

11: Q88 – Q91 Read-Write Vs Append-Only File Systems

Q88. How will you modify a portion of an HDFS file? A88. HDFS is an “append-only” file system. The most common use case of Hadoop data ingestion is to append new sets of event-based and/or sub-transactional data. The large data…...

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12: Q92 – Q97 Hadoop file formats and how to choose

Q92. What are the criteria for choosing storage file formats in Hadoop? A92. Choosing the wrong file formats can significantly increase the query times and storage spaces. Choosing a format that does not support flexible schema evolution may cost massive…...

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13: Q98 – Q104 Hive Basics Interview Q&As and Tutorial

Q98. What is Hive? A98. Hive is used for accessing and analyzing data in Hadoop using SQL syntax. It is known as the HiveQL. Q99. What is the difference between Hive internal tables & external tables? A99. When you drop…...

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14: Q105 – Q108 Spark “map” vs “flatMap” interview questions & answers

Q105. What is the difference between “map” and “flatMap” operations in Spark? A105. The map and flatMap are transformation operations in Spark. map transformation is applied to each element of RDD and it returns the result as a new RDD.…...

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15: Q109 – Q113 Spark RDD partitioning and “mapPartitions” interview questions & answers

Q109. What is the difference between “map” and “mapPartitions” transformations in Spark? A109. The method map converts each element of the source RDD into a single element of the result RDD by applying a function. The method mapPartitions converts each…...

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