Sql in an easy way like below: Filter a DataFrame which contains "" DataFrame. It can replace MapReduce to perform high-speed computation. Key Skills: Job Title- Scala Lead Location Bangalore Notice Period Immediate Joining within 30 Days. Learn about the basic constructs of Scala such as variable types, control structures, collections,and more. If you want to learn Apache Spark Contact now. a) Mahek Zaharia b) Matei Zaharia c) Doug Cutting d) Stonebraker 2. Our Spark skill test is created and validated by Subject Matter Experts. C# Interview Questions -- Part 1 It was developed around 2000 by Microsoft within its. In my previous post, I have listed top 20 Exception handling interview questions here and 15 core java written interview questions for product based companies. These are beautiful language to work upon. What kind of questions are asked? What is the difficultly level? Comparable to FB/Google?. This turned out to be a great way to get further introduced to Spark concepts and programming. I think if it were. Mastering Interview Skills in 1 Hour with Fortune 500 Exec Course. This article on Scala Interview Questions is a comprehensive approach for helping candidates face Interviews of Scala and Spark based on three levels. Though every Scala interview is different and the scope of a job is also different, we can help you out with the top Scala Interview Questions and Answers, which will help you to take the leap and get you success in an interviews. Scala Introduction. I have Over 20…. Scala is statically typed. Also, you can have an online interview right on the platform using the code pair feature, which allows you to get a feeling of what it’s like to work with your candidates. This Edureka Apache Spark Interview Questions and Answers tutorial helps you in understanding how to tackle questions in a Spark interview and also gives you an idea of the questions that can be asked in a Spark Interview. The increasing demand of Apache Spark has triggered us to compile a list of Apache Spark interview questions and answers that will surely help you in the successful completion of your interview. Interview Questions For Apache Spark and Scala. Data Scientist Interview Questions (Coding) Data scientists are more than simply data analysts, in that they understand how studying some data could lead to an important decision that can enhance a product or improve a business. 1 Job Portal. NET MVC with Entity Framework. It is particularly useful to programmers, data scientists, big data engineers, students, or just about anyone who wants to get up to speed fast with Scala (especially within an enterprise context). I recently started learning Scala because of its Actor Framework. Great eye opener. 192459+ Software interview questions and answers for freshers and experienced. Question-20: I don’t know both Scala and Python then which programming language you would recommend? Answer: It is very tricky question to answer. Here is the. Our Apache Spark course content starts from the basics of Scala which is required for Apache Spark and at the end of our Apache Spark training program in Chennai you will be working on a live Spark project. Spark provides the shell in two programming languages : Scala and Python. In the past, I have shared some books, articles, and interview questions on learning Scala, and today, I'll share some of the free online courses to learn Scala in 2019. Functional Programming Questions 6. Top companies are hiring for Apache Spark roles for various positions. Nice to have it laid out so clearly. 7+ or Python 3. These questions are good for both fresher and experienced Spark developers to enhance their knowledge and data analytics skills both. programming. Simple Examples A list of simple Scala snippets, useful to understand some basics of the language, as well as to see what Scala code looks like. There are a lot of opportunities from many reputed companies in the world. Free course or paid. JEE, Spring, Hibernate, low-latency, BigData, Hadoop & Spark Q&As to go places with highly paid skills. JD for your reference. Apache Spark Professional Training and Certfication. Apache Spark is a booming technology and it is trending nowadays. Scala is a very powerful object-oriented and functional programming language. I have Over 20…. Here, you will learn what Apache Spark key features are, what an RDD is, what a Spark engine does, Spark transformations, Spark Driver, Hive on Spark, the functions of Spark SQL, and so on. Spark Interview Questions and Answers. PySpark Interview Questions. Apache Spark and Scala. Become more strong on Big Data Call for Spark & Hadoop Training in Hyderabad, ORIENIT @ 040 65142345 , 9703202345. 1 Job Portal. Functions in Scala are first class objects, they can be stored into a variable, used as function argument and the returned value of a function. Designed by experts in the industry, this course offers training on various topics like Spark Streaming, Spark SQL, Machine Learning Programming, GraphX Programming and Shell Scripting Spark. There are a lot of opportunities from many reputed companies in the world. Free course or paid. Spark is emerging as a next-generation generalized engine for large-scale data processing. By the end of this guide, you will have a thorough understanding of working with Apache Spark in Scala. In this hands-on Apache Spark with Scala course you will learn to leverage Spark best practices, develop solutions that run on the Apache Spark platform, and take advantage of Spark's efficient use of memory and powerful programming model. Apache Spark is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. Adoption is key for testing this hypothesis Scala interoperates with Java and. It can handle both. Functional Programming Questions 6. 192459+ Software interview questions and answers for freshers and experienced. What is DataFrame? SQL + RDD = Spark DataFrame. You are here: Home / Latest Articles / Programming / Top 25 Scala Interview Questions & Answers last updated November 23, 2019 / 0 Comments / in Programming / by admin 1) Explain what is Scala?. Spark has interactive APIs for different languages like Java, Python or Scala and also includes Shark i. According to research Apache Spark has a market share of about 4. Questions are based on resume, they will introduce their benefits. To write a Spark application, you need to add a dependency on Spark. RDDs can't be shared between SparkContexts. Data analysis with Spark; AWS lambda expression; Ad hoc scripting in REPL etc. These questions are good for both fresher and experienced Spark developers to enhance their knowledge and data analytics skills both. Apache Spark is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. Spark is emerging as a next-generation generalized engine for large-scale data processing. Below we are discussing best 30 PySpark Interview Questions: Que 1. Scala is a modern multi-paradigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. MindMajix is proficient in delivering Apache Spark and Scala Online Training. That's all about Why Java programmers should learn Scala or some practical Reasons for learning Scala programming language. I am reaching out to the community to understand the impact of coding in certain ways in scala for Spark. Simple Examples A list of simple Scala snippets, useful to understand some basics of the language, as well as to see what Scala code looks like. Well documented Spark blog contains frequent interview questions along with the answers and latest updates on BigData technology. Our Spark skill test is created and validated by Subject Matter Experts. Scala Program Example. How to find out the number of records in a dataset using Spark? Here is we provide Spark with Scala programming for a number of records in a dataset:. You don't want to mess up during it, but you always think of a better response after-the-fact. I think if it were. If you write applications in Scala, you will need to use a compatible Scala version (e. Discussing about Spark & Scala interview questions daily base. In this list of the top most-asked Apache Spark interview questions and answers, you will find all you need to clear your Spark job interview. In the next section of the Apache Spark and Scala tutorial, we'll discuss the prerequisites of apache spark and scala. Scala Program Example. Question 3. AggregateByKey. Designed to be concise, many of Scala's design decisions aimed to address criticisms of Java. Running: scala HelloWorld. Hence to clear the real exam it realy needs very well preparation. Design, build, deploy, and manage Reactive microservices architectures and real-time streaming pipelines. 24/7 Live Support by our experts to help no matter what the issue. This tutorial describes how to use SBT to compile and run a Scala project, and package the p…. Spark Interview Question – Basic Level. A series of Interview questions, I am explaining about Scala basic Interview questions with proper explanations. A handy cheatsheet covering the basics of Scala's syntax. Also, you can have an online interview right on the platform using the code pair feature, which allows you to get a feeling of what it's like to work with your candidates. Great eye opener. 1 Job Portal. Scala is a high-level language that combines the best of both worlds: object-oriented programming (OOP) and functional programming (FP). I've had the opportunity to be on both sides of the interview table/phone with Steve's. X) - newer major versions may not work. Apache Spark and Scala is an open source cluster computing framework. Well documented Spark & Scala material with all the topics covering in the course. To allow you an inspiration of the sort to queries which can be asked in associate degree interview. Spark Professional Training. If you're looking for Apache Scala Interview Questions & Answers for Experienced or Freshers, you are at the right place. In this Apache Spark tutorial, you will learn Spark from the basics so that you can succeed as a Big Data Analytics professional. Hello guys in this blog of services I will discuss the frequently asked the most popular Spring framework interview questions. Purpose Spark uses Micro-batching for real-time streaming. As Spark is written in Scala so in order to support Python with Spark, Spark Community released a tool, which we call PySpark. If you are worried about how to learn Apache Spark then Credo Systemz is the best option for you. The path to enlightenment. Apache Spark Architecture How to use Spark with Scala How to deploy Spark projects to the cloud Machine Learning with Spark; Pre-requisites of the Course. If you have any questions or feedback, please drop a note. Scala was created with the motive of bringing around a programming language that was a multi-paradigm programming language, functional, object-oriented, and run on JVM. Contribute to vaquarkhan/Apache-Kafka-poc-and-notes development by creating an account on GitHub. To help you learn Scala from scratch, I have created this comprehensive guide. Apache Spark is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. Scalding is a domain-specific language (DSL)in the Scala programming language, which integrates Cascading. Top 50 Apache Spark Interview Questions and Answers Preparation is very important to reduce the nervous energy at any big data job interview. Pick the tutorial as per your learning style: video tutorials or a book. Learning Apache Spark? Check out these best online Apache Spark courses and tutorials recommended by the data science community. Related Searches to What is the Difference Between Python and Scala ? - python basic programming questions scala python comparison scala vs python for spark scala vs python performance scala vs python for data science scala vs python for machine learning what is spark and scala scala python integration which is easier scala or python call python from scala spark spark pipe python python to. Use these interview questions to avoid hiring employees with toxic qualities: 1. Discussing about Spark & Scala interview questions daily. This article on Scala Interview Questions is a comprehensive approach for helping candidates face Interviews of Scala and Spark based on three levels. Tutorials for beginners or advanced learners. In this tutorial, you learn how to create an Apache Spark application written in Scala using Apache Maven with IntelliJ IDEA. This certification is started in January 2016 and at itversity we have the history of hundreds clearing the certification following our content. On Spark they may ask questions at different levels of abstraction: API stuff, behaviour and optimization (SparkSQL vs RDD, Tungsten, Catalyst. In this post, I provide a workable example to show how to use the scopt parser to read arguments for a spark program in scala. Scala FAQs. Our Apache Spark course content starts from the basics of Scala which is required for Apache Spark and at the end of our Apache Spark training program in Chennai you will be working on a live Spark project. Spark extends the popular MapReduce model. It can ease many Spark problems. The program outputs must show clearly in spark-shell (failure to do so may lead to loss of marks). Top companies are hiring for Apache Spark roles for various positions. If you're looking for Apache Scala Interview Questions & Answers for Experienced or Freshers, you are at the right place. Scala's static types help avoid bugs in complex applications, and its JVM (Java Virtual Machine) let you build high-performance systems with easy access to huge ecosystems of libraries. To master basic skills of the Apache Spark open source framework and the programming language, like Spark Streaming, machine training programming, Spark SQL, GraphX programming, Spark Shell Scripting. By the end of this guide, you will have a thorough understanding of working with Apache Spark in Scala. This chapter will explain the basic concepts of programming in Scala. You will master essential skills of the Apache Spark and the Scala programming language, including Spark Core, Spark Streaming, Structured Streaming Spark SQL and Kafka. If you are using a Spark dataframe, you can filter Spark DataFrame using Scala with Spark. Thus, it extends the Spark RDD with a Resilient Distributed Property Graph. Click for a free download:. The property graph is a directed multi-graph which can have multiple edges in parallel. Spark is an open source Apache Foundation project that enables organizations to perform in. It can use the standard CPython interpreter, so C libraries like NumPy can be used. Basic Linux Interview Questions and Answers. Use these interview questions to avoid hiring employees with toxic qualities: 1. If you have any questions or feedback, please drop a note. If you are fresher looking to step up your career or an experienced professionals seeking to brush up your knowledge of Mule ESB, the following interview questions I have compiled in the article will prove highly effective. If you are worried about how to learn Apache Spark then Credo Systemz is the best option for you. One of the main features Spark offers for speed is the ability to run computations in memory, but the system is also more efficient than. Scala Interview Questions 1) What is Scala? Scala is a general-purpose programming language. It is useful for a data scientist to learn Scala, Python, R, and Java for programming in Spark and choose the preferred language based on the efficiency of the functional solutions to tasks. Scala FAQs. What would you change about your previous job/employer? The toxic answer: A tell-tale sign of a toxic employee is a candidate who whines and complains about their boss, co-workers, and their job in the interview. I have Over 20…. Apache Spark runs applications up to 100x faster in memory and 10x faster on disk than Hadoop. Scala Interview Questions. If you write applications in Scala, you will need to use a compatible Scala version (e. If you are new to Scala or coming from other programming backgrounds like Java or. These are the best programming languages to learn to land a great developer job and to earn more money. Scala was created with the motive of bringing around a programming language that was a multi-paradigm programming language, functional, object-oriented, and run on JVM. Spark Professional Training. I'm new to Linux. 1) What are the various levels of persistence in Apache Spark? Apache Spark automatically persists the intermediary. One of the main features Spark offers for speed is the ability to run computations in memory, but the system is also more efficient than. Spark Interview Questions and Answers. The keys, unlike the values in a Scala map, are unique. Scala is the most competent of all three as Spark is itself written using Scala. About the Scala Online Training. 06/26/2019; 6 minutes to read +3; In this article. It is a strong static type language. If you use SBT or Maven, Spark is available through Maven Central at:. Scalding is a domain-specific language (DSL)in the Scala programming language, which integrates Cascading. Kafka Interview questions and answers for Freshers 1. Spark Interview Questions Scala/Spark Functional Programming. Well documented Spark & Scala material with all the topics covering in the course. The Spark tutorials with Scala listed below cover the Scala Spark API within Spark Core, Clustering, Spark SQL, Streaming, Machine Learning MLLib and more. Moustafa Refaat in Colosseum Welcome to my website, in the following pages you will find information about my experience, publications, Apps I developed, and a synopsis of the services I provide in the areas architecture and development services on Azure,AWS,. It has an advanced execution engine supporting cyclic data flow and in-memory computing. With NPN Training's Apache Spark and Scala certification training you would advance your expertise in Spark Ecosystem through complete Hands-on training. This chapter will explain the basic concepts of programming in Scala. We recommend learn both the programming language. Apache Spark with Scala covers interview questions and all real time scenarios being asked by MNCs. 107 people follow this. Shark is a tool, developed for people who are from a database background - to access Scala MLib capabilities through Hive like SQL interface. If you are planning to learn Scala, here are some of the best books to start with Scala programming. Apache Spark Interview Questions has a collection of 100 questions with answers asked in the interview for freshers and experienced (Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer). APACHE SPARK DEVELOPER INTERVIEW QUESTIONS SET By www. programming-challenge interview-questions functional-programming scala memoization. Here you will find list of Apache Spark Scala Interview Questions: Shyam Mallesh PDF Ebook Download free ebooks online for read and download You are looking for the link that works to access REad Apache Spark Scala Interview Questions: Shyam Mallesh PDF for free, one of the. spark scala interview questions and answers. Apache spark - a very known in memory computing engine to process big data workloads. In the next section of the Apache Spark and Scala tutorial, we’ll discuss the prerequisites of apache spark and scala. How to find out the number of records in a dataset using Spark? Here is we provide Spark with Scala programming for a number of records in a dataset:. Support for Java Virtual Machine (JVM. You may access the tutorials in any order you choose. The aggregateByKey function is used to aggregate the values for each key and adds the potential to return a differnt value type. Difference between Call by Name and Call by Value 6. This Edureka video on "Scala Interview Questions and Answers" helps you in understanding how to tackle questions in a Scala Interview and also gives you an idea of the Questions that can be asked. It has an independent language (Scala) interpreter and hence comes with an interactive language shell. Spark has interactive APIs for different languages like Java, Python or Scala and also includes Shark i. In this tutorial, you learn how to create an Apache Spark application written in Scala using Apache Maven with IntelliJ IDEA. Adoption is key for testing this hypothesis Scala interoperates with Java and. These are beautiful language to work upon. A first program in Scala: how to run it using the interpreter or the compiler. Scala is a high-level language that combines the best of both worlds: object-oriented programming (OOP) and functional programming (FP). These are the best programming languages to learn to land a great developer job and to earn more money. 1 Job Portal. It currently supports the following languages for developing applications using Spark:. Here are the top 20 Apache spark interview questions and their answers are given just under to them. Spark, as it is an open-source platform, we can use multiple programming languages such as java, python, Scala, R. SCALA is named after its feature of Scalability. Throughout this Spark training you will get in-depth knowledge on Apache Spark and Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. > Spark Developer Interview Questions PDF Download (70 Questions) > Hadoop Interview Questions PDF Download (60 Questions) > HBase Interview Questions PDF Download (51 Questions). This Edureka video on "Scala Interview Questions and Answers" helps you in understanding how to tackle questions in a Scala Interview and also gives you an idea of the Questions that can be asked. apache-spark. who is having 8+ IT experience and 5+ years on Big Data and related domains working in MNC’s. Cloudera CCA175 (Hadoop and Spark Developer Hands-on Certification available with total 75 solved problem scenarios. Learn Big Data Analysis with Scala and Spark from École Polytechnique Fédérale de Lausanne. This list will also make a foundation for java architect interview questions or any other programming language agnostic software architect interview questions. Apache Spark Scala Interview Questions: Shyam Mallesh Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. JD for your reference. The program outputs must show clearly in spark-shell (failure to do so may lead to loss of marks). You don't really need to know Scala just to use the Spark API, so maybe they will stick to basic FP concepts, syntax and won't go to internal details as they would for a position as a Scala Dev. These MapReduce interview questions will help you get started with the MapReduce interview preparation. Candidates are free to ask any questions at any time. It supports object-oriented, functional and imperative programming approaches. APACHE SPARK DEVELOPER INTERVIEW QUESTIONS SET By www. Hello guys in this blog of services I will discuss the frequently asked the most popular Spring framework interview questions. Introduction to PySpark | Distributed Computing with Apache Spark - GeeksforGeeks. Coding interview questions with solutions and tests (Scala) - maximn/coding-interview-questions-scala. Well documented Spark blog contains frequent interview questions along with the answers and latest updates on BigData technology. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. Spark SQL for SQL lovers - making it comparatively easier to use than Hadoop. Figure: Spark Interview Questions - Spark Streaming. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. What follows is a list of commonly asked Scala interview questions for Spark jobs. The overall performance is clearly defined and displayed, for an easy score. I've had the opportunity to be on both sides of the interview table/phone with Steve's. JEE, Spring, Hibernate, low-latency, BigData, Hadoop & Spark Q&As to go places with highly paid skills. The property graph is a directed multi-graph which can have multiple edges in parallel. One of the main features Spark offers for speed is the ability to run computations in memory, but the system is also more efficient than. Bigdata Exposure. Spark Databox online Scala training course offers a comprehensive knowledge of all the vital concepts of Scala programming language from scratch. I'm just getting started with scala and FP - specifically for spark programming. spark scala interview questions and answers. Therefore in case if you are going for big data on Spark framework, then you need to learn Scala. Scala Advanced Interview Questions and Answers In this section, we will pickup each and every question from above list and discuss in-detail with suitable examples(if required). This presentation on Apache Spark interview questions will help you learn all the important questions that will help you crack an interview. Kafka Interview questions and answers for Freshers 1. Learning Spark With Scala Often, processing alone is not enough when it comes to big volumes of data. These Scala Interview Questions are provided by Scala experts which are beneficial for both freshers as well as experienced. So if you are looking for a job that is related to Scala, you need to prepare for the Scala Interview Questions. Each video may include around 2 to 3 questions covered. To assist you, we have compiled this list of commonly-asked data analyst interview questions. NET, don't be worried about the inner details of Scala yet. Programming Video Lectures (1) python (8). 1 Job Portal. Best Scala Interview Questions. Introduction to PySpark | Distributed Computing with Apache Spark - GeeksforGeeks. You don't really need to know Scala just to use the Spark API, so maybe they will stick to basic FP concepts, syntax and won't go to internal details as they would for a position as a Scala Dev. Scala is a very powerful object-oriented and functional programming language. Tags: Apache spark interview questions, Hadoop spark interview questions, Scala interview questions, Spark interview questions, Spark interview questions and answe. So what is Scala programming language?. This is an exciting role focused on application development using market leading technologies such as Java, Scala, Big Data, Hadoop, HBase, Hive, Spark etc. Question 3. For the person looking to attend Kafka interview recently, here are most popular interview questions and answers to help you in the right way. Among some answers I saw a reference to a GitHub repository with several questions, not only Scala specific, but also about functional programming, and even more generic questions. It supports object-oriented, functional and imperative programming approaches. If you are fresher looking to step up your career or an experienced professionals seeking to brush up your knowledge of Mule ESB, the following interview questions I have compiled in the article will prove highly effective. Scala is statically typed. Spark is an open source Apache Foundation project that enables organizations to perform in. 5 months I have become capable enough to become a part of a Hadoop Spark with scala team. Education. Scala also supports function programming. In most cases, the user has no need to specify a type. Learning Spark With Scala Often, processing alone is not enough when it comes to big volumes of data. I hope these architect job interview questions have been helpful, good luck! To help you with your architecture job search, I've created a mega-pack of free resources that includes even more sample architecture interview questions, resumes, cover letters, and an extensive collection of application documents. Support for Java Virtual Machine (JVM. On Spark they may ask questions at different levels of abstraction: API stuff, behaviour and optimization (SparkSQL vs RDD, Tungsten, Catalyst. Question 3. 1 Job Portal. Apply to 2852 Scala Jobs on Naukri. X) - newer major versions may not work. There are two types of maps present in Scala are Mutable and Immutable. Spark is an open source Apache Foundation project that enables organizations to perform in. APACHE SPARK DEVELOPER INTERVIEW QUESTIONS SET By www. What is the data type of a lambda expression? 10. Coding interview questions with solutions and tests (Scala) - maximn/coding-interview-questions-scala. In this blog you will learn just enough Scala for Spark, it's like a quick guide of Scala basics needed for Spark programming, Scala syntax with Scala examples. We recommend learn both the programming language. I will keep this tutorial very high level as we will have other tutorials to follow on the features of Scala. Training lays the foundation for an engineer. Cloudera CCA175 (Hadoop and Spark Developer Hands-on Certification available with total 75 solved problem scenarios. Apache Spark runs applications up to 100x faster in memory and 10x faster on disk than Hadoop. com Note: These instructions should be used with the HadoopExam Apache Spar k: Professional Trainings. Spark is a modified version of Hadoop and it uses Hadoop for storage and processing. SCALA effectively enables functional programming. It is a functional programming paradigm used in Scala which is much closer than Java to the original model for MapReduce functions. a) Mahek Zaharia b) Matei Zaharia c) Doug Cutting d) Stonebraker 2. This Edureka video on "Scala Interview Questions and Answers" helps you in understanding how to tackle questions in a Scala Interview and also gives you an idea of the Questions that can be asked. The keys, unlike the values in a Scala map, are unique. Shark is a tool, developed for people who are from a database background - to access Scala MLib capabilities through Hive like SQL interface. Apache Spark is a booming technology and it is trending nowadays. Best detailed description I've found and I found it very useful for preparing for interviews. NayHoh, I’ve often thought about this Facebook Interview Questions. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. Interview question for Consultant. Data must be processed quickly, in real-time, continuously, and concurrently. Well documented Spark blog contains frequent interview questions along with the answers and latest updates on BigData technology. Data Scientist Interview Questions (Coding) Data scientists are more than simply data analysts, in that they understand how studying some data could lead to an important decision that can enhance a product or improve a business. We can look into how Python is essential for Apache Spark and Scala training. They all are free now but no guarantee how long they will remain free as sometimes instructor converts their free Udemy courses into Paid one, particularly after they achieve their promotional targets. It integrates very well with the Java platform. Scala Intermediate and Advanced Interview Questions and Answers In this section, we will pickup each and every question from above list and discuss in-detail with suitable examples(if required). Apache Spark and Scala Online Training - Free download as Powerpoint Presentation (. In my previous post, I have listed top 20 Exception handling interview questions here and 15 core java written interview questions for product based companies. Interview Questions For Apache Spark and Scala. Introduction to Programming in Apache Scala Tutorial. They all are free now but no guarantee how long they will remain free as sometimes instructor converts their free Udemy courses into Paid one, particularly after they achieve their promotional targets. Contribute to vaquarkhan/Apache-Kafka-poc-and-notes development by creating an account on GitHub. This course will cover how to use Spark core APIs to develop applications using Scala as programming language. Features in object oriented programming (OOP) language such as Classes and inheritance are fully supported in Scala. Hive Scenario Based Interview Questions with Answers; Load CSV file into hive AVRO table; Load CSV file into hive PARQUET table; Hive Most Asked Interview Questions With Answers - Part II; Spark Interview Questions Part-1; Hive Most Asked Interview Questions With Answers - Part I; Create a spark dataframe from sample data. Tutorials for beginners or advanced learners. I will keep this tutorial very high level as we will have other tutorials to follow on the features of Scala. Ans-Like Windows and Mac OS, Linux is the best known and most used open-source operating system. For working with Hadoop we can opt to use Java or Scala but if we work with spark, the only language we can work with is Scala. It is mostly for Java developers who are learning Scala or have some experience working in Scala, looking for development job in Scala. If you like this article, then please share with your friends and colleagues, and don't forget to follow javinpaul on Twitter and javinpaul in Medium! P. Scala is a high-level language that combines the best of both worlds: object-oriented programming (OOP) and functional programming (FP). Apply to 210 Spark Jobs on Naukri. On Spark they may ask questions at different levels of abstraction: API stuff, behaviour and optimization (SparkSQL vs RDD, Tungsten, Catalyst.