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11c: 50+ Apache Spark best practices & optimisation interview FAQs – Part 3 Partitions & buckets

This extends 40+ Apache Spark best practices & optimisation interview FAQs – Part-2 Spark UI. #31 Bucketing is another data optimisation technique that groups data with the same bucket value across a fixed number of “buckets”. Bucketing improves performance in wide transformations and joins by minimising or avoiding data “shuffles”....

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11d: 50+ Apache Spark best practices & optimisation interview FAQs – Part 4 Small Files problem

Small Files Problem

Q38: What is the difference between repartition & Coalesce? A38: Repartition equally distributes the data across machines, hence requires reshuffling, hence slower than coalesce, but can improve the overall performance of the job as it can prevent data skewing by equally distributing the data across the executors. … Read more...

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11e: 50+ Apache Spark best practices & optimisation interview FAQs – Part 5 Cache Vs Persist Vs Checkpoint

This extends 50+ Apache Spark best practices & optimisation interview FAQs – Part 4 Small Files problem Q44 What do you understand by the terms caching, persisting & checkpointing with respect to Apache Spark? … Read more ›...

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11f: 50+ Apache Spark best practices & optimisation interview FAQs – Part 6 Serialization & UDFs

This extends 11e: 50+ Apache Spark best practices & optimisation interview FAQs – Part 5 Cache Vs Persist Vs Checkpoint. Q46 Why is serialization important in Spark? A46 Serialization and deserialization are important concepts in Apache Spark. … Read more ›...

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12 Apache Spark getting started interview questions and answers

SparkSession/SparkContext to tasks

Q01. Where is Apache Spark used in the Hadoop eco system? A01. 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, Spark streaming, Spark UI, GraphX, … Read more ›...

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12 Amazon Redshift interview Q&As

Q1. What is Amazon Redshift? A1. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your...

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12 Kerberos interview Q&As

Kerberos Flow

Q1. What is kerberos? A1. Kerberos is a network authentication protocol designed to provide strong authentication for client/server applications by means of secret-key cryptography. Kerberos ensures the highest level of security to network resources. Q2. What are the 3 key components of Kerberos? … Read more ›...

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12: 50+ SQL scenarios based interview Q&As on Nth value with variations

This extends 50+ SQL scenarios based interview Q&As on Nth value with some variations to practice. Problem statement & considerations Find the 5th highest salary for each department. If the number of highest value for a particular department is less than 5, then display the lowest salary for that department....

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12: PySpark working with SQL syntax Interview Q&As with tutorials

Q37: Can you use SQL in PySpark? A37: Yes, Spark supports both Dataframe APIs and also allows you to integrate SQL queries to work with structured data. The pyspark.sql is a module in PySpark that can be used to perform SQL like operations on the data stored in memory via...

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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 re-processing just to add a new field. … Read more...

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13 Apache Sqoop interview Q&As

Q1. What is Apache sqoop? A1. Sqoop is a command-line tool to transfer data between Hadoop and RDBMS (i.e. Relational Database Management Systems). It is used to import data from relational databases such as MySQL, Oracle, Teradata, etc to Hadoop HDFS, and export structured data from Hadoop file system to...

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13: 50+ SQL scenarios based interview Q&As on self-join

Let’s try solving a problem statement given below by creating sample data & then an SQL query on db-fiddle using MySQL v8 database. You can also look at a hierarchical (i.e. tree structure) employees example using a self-join at 50+ SQL scenarios based interview Q&As on joins, CDC and recursive...

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13: PySpark with Apache Kafka Interview Q&As with tutorials – part 1

Q40: What is Spark streaming? What are the benefits of using Apache Kafka with PySpark? A40: Spark streaming is used for real time data processing, which allows you to process from various data sources like Apache Kafka, … Read more ›...

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300+ Java Interview Questions - FAQs

Java Interview FAQs 300+
Java FAQs - 01: Prepared?
(2)
Java FAQs - 02: Ice Breaker
(5)
Java FAQs - 03: Core Java
(15)
Java FAQs - 03 Java 9 to 25
(8)
Java FAQs - 04: OOP & FP
(10)
Java FAQs - 05: JEE
(12)
Java FAQs - 06: Spring
(10)
Java FAQs - 07: Hibernate
(4)
Java FAQs - 08: Web Services
(6)
Java FAQs - 09: Microservices
(12)
Java FAQs - 10: Messaging
(4)
Java FAQs - 11: Architecture
(5)
Java FAQs - 12: RDBMS
(2)
Java FAQs - 13: SQL
(6)
Java FAQs - 14: Code Quality
(4)
Java FAQs - 15: Key Areas
(14)
Java FAQs - 16: UML
(1)
Java FAQs - 17: GIT
(4)
Java FAQs - 18: Linux
(3)
Java FAQs - 19: DevOps (CI/CD)
(9)
Java FAQs - 20: AWS (Cloud)
(5)
Java FAQs - 21: Maven
(1)
Java FAQs - 22: Regex
(2)
Java FAQs - 23: JSON & XML
(3)
Java FAQs - 24: JMeter
(2)
Spring & Hibernate Interview FAQs
Framework - Hibernate Q&As
(13)
Framework - Spring Core
(6)
Framework - Spring MVC
(7)
Framework - Spring Cloud
(1)
Framework - Spring boot
(4)
Framework - Spring IO
(1)
Framework - Spring Config
(5)
Java Architect Interview FAQs
Architecture - Patterns
(10)
Architecture - How to
(17)
Architecture - AWS
(10)
Architecture - Azure
(6)
Architecture - Distributed
(8)
Architecture - Microservices
(11)
Architecture - Networking
(6)
Architecture - QoS
(1)
Architecture - ERD
(1)
Architecture - ETL
(3)
Architecture - Low Latency
(6)
Architecture - UML
(1)
Java code quality interview Q&As
Code Quality - Automation
(1)
Code Quality - Code Coverage
(2)
Code Quality - FAQs
(7)
Code Quality - Profiling
(3)
Code Quality - Performance
(2)
Code Quality - Unit Testing
Code Quality - BDD
(4)
Code Quality - JMockit
(15)
Code Quality - Mockito
(4)
Code Quality - Unit Testing FAQs
(3)
Code Quality – Testing DAOs
(4)
Code Quality – JUnit & Mockito
(6)
Code Quality – JUnit Web
(2)
Code Quality - Spring TXN
(2)
Java coding interview Q&As
Coding - Can you write code?
(22)
Coding - Complete the code
(13)
Coding - Converting from A to B
(6)
Coding - Designing your classes
(9)
Coding - Data Structures
Coding - Arrays
(2)
Coding - Big O notation
(2)
Coding - Graph Structure
(2)
Coding - LinkedList Structure
(2)
Coding - Map Structure
(1)
Coding - Pointer Algorithms
(3)
Coding - Queue Structure
(1)
Coding - Searching Algo
(1)
Coding - Sorting Algo
(4)
Coding - Stack Structure
(1)
Coding - Tree structure
(14)
Coding - Data Which & Why
(2)
Coding - Passing the unit tests
(5)
Coding - What is wrong?
(10)
Coding - Home Assignments
(8)
Coding - Written Test Core Java
(4)
Coding - Written Test JEE
(1)

Tutorials on Java & Big Data

Tutorials - Golang
5
Tutorials - Big Data
TUT - ⏯ Starting Big Data
2
TUT - Starting Spark & Scala
10
TUT - Starting with Python
2
TUT - Pig
3
TUT - Apache Storm
3
TUT - Spark Scala on Zeppelin
14
TUT - Cloudera
4
TUT - Cloudera on Docker
21
TUT - File Formats
8
TUT - Spark on Docker
8
TUT - Flume
2
TUT - Hadoop (HDFS)
5
TUT - HBase (NoSQL)
5
TUT - Hive (SQL)
1
TUT - Hadoop & Spark
16
TUT - MapReduce
3
TUT - Spark and Scala
2
TUT - Spark & Java
14
TUT - Apache Kafka
8
TUT - Hadoop
1
TUT - PySpark on Databricks
28
TUT - Zookeeper
2
Tutorials - Enterprise Java
TUT - Starting with Java
22
TUT - ⏯ Java Video Tutorials
TUT - ⏯ Starting with Java
12
TUT - ⏯ Spring Core
1
TUT - ⏯ Spring MVC
5
TUT - ⏯ JDBC, Hibernate
6
TUT - ⏯ Spring Boot
2
TUT - ⏯ Angular with Spring
TUT - ⏯ Q&As
2
TUT - Diagnosis
2
TUT - Akka
TUT - Akka Scala
3
TUT - Akka Java
6
TUT - AWS EC2
4
TUT - CI/CD Jenkins
3
TUT - Core Java
TUT - Debugging
4
TUT - Java 8
4
TUT - JSON and Java
1
TUT - Java Beginner
1
TUT - XML and Java
8
TUT - CSV and Java
2
TUT - Docker
9
TUT - Java gRPC
3
TUT - JEE
TUT - Web & Web Services
7
TUT - REST Client
1
TUT - JSF
1
TUT - JDBC
5
TUT - FIX and Java
3
TUT - JAXB
8
TUT - JMX
1
TUT - JPA
1
TUT - MySQL
1
TUT - Scala
TUT - Scala Actors
1
TUT - Spring & Hibernate
TUT - Hibernate
2
TUT - Spring Basics
10
TUT - Spring batch
3
TUT - Hibernate & Spring
5
TUT - Spring Boot
6
TUT - Spring IO
1
TUT - Spring ORM
2
TUT - Spring other
2
TUT - Spring OXM
2
TUT - Spring Cloud
9
TUT - Tools
TUT - JMeter
3
TUT - Maven
4
TUT - Maven Assembly
2
TUT - Maven Profiles
1
TUT - Productivity Tools
9
TUT - Apache Kafka
3
TUT - Redis Tutorial
2
TUT - Kubernetes & Docker
5
TUT - Other
TUT - SQL
3
TUT - Drools
5
TUT - Apache POI
3
TUT - DOS
2
TUT - Dozer
2
TUT - ESB
1
TUT - Groovy
3
TUT - Jasper Reports
4
TUT - Logging and auditing
6
TUT - Metrics
2
TUT - Orika Mapping
2
TUT - Pentaho Kettle ETL
4
TUT - Linux
7
TUT - Webspeher MQ
3
TUT - YAML
1