Download or read book 1000 Big Data Hadoop Interview Questions and Answers written by Vamsee Puligadda and published by Vamsee Puligadda. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge for Free... Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing only concepts but not focusing on actually which questions will be asked in the interview? Don't be that person this time. This is the most comprehensive Big Data, Hadoop interview questions book that you can ever find out. It contains: 1000 most frequently asked and important Big Data, Hadoop interview questions and answers Wide range of questions which cover not only basics in Big Data, Hadoop but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.

Download or read book Big Data Hadoop Interview Guide written by Vishwanathan Narayanan and published by . This book was released on 2021-01-02 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: A power-packed guide with solutions to crack a Big data Hadoop Interview KEY FEATURES •Get familiar with Big data concepts •Understand the working of Hadoop and its ecosystem. •Understand the working of HBase, Pig, Hive, Flume, Sqoop and Spark •Understand the capabilities of Big data including Hadoop and HDFS •Up and running with how to perform speedy data processing using Apache Spark DESCRIPTION This book prepares you for Big data interviews w.r.t. Hadoop system and its ecosystems such as HBase, Pig, Hive, Flume, Sqoop, and Spark. Over the last few years, there is a rise in demand for Big Data Scientists/Analysts throughout the globe. Data Analysis and Interpretation have become very important lately. The book covers many interview questions and the best possible ways to answer them. Along with the answers, you will come across real-world examples that will help you understand the concepts of Big Data. The book is divided into various sections to make it easy for you to remember and associate it with the questions asked. WHAT YOU WILL LEARN •Apache Pig interview questions and answers •HBase and Hive interview questions and answers •Apache Sqoop interview questions and answers •Apache Flume interview questions and answers •Apache Spark interview questions and answers WHO THIS BOOK IS FOR This book is for anyone interested in big data. It is also useful for all jobseekers and freshers who wants to drive their career in the field of Big Data and Data Processing. TABLE OF CONTENTS 1.Big data, Hadoop and HDFS interview questions 2.Apache PIG interview questions 3.Hive interview questions 4.Hbase interview questions 5.Apache Sqoop interview questions 6.Apache Flume interview questions 7.Apache Spark interview questions

Download or read book Hadoop BIG DATA Interview Questions You ll Most Likely Be Asked written by Vibrant Publishers and published by VIBRANT PUBLISHERS USA. This book was released on 2017-03-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hadoop BIG DATA Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today's competitive job market.

Download or read book Big Data Hadoop Interview Guide written by Vishwanathan Narayanan and published by . This book was released on 2021 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: A power-packed guide with solutions to crack a Big data Hadoop interview, this book covers many interview questions and the best possible ways to answer them, and provides real-world examples that will help you understand the concepts of Big Data. --

Download or read book Hadoop Interview Questions written by and published by PappuPass Learning Resources. This book was released on with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: HadoopExam Learning Resources (www.HadoopExam.com). Provides many learning resources for Hadoop , BigData , Data Science and Analytics certifications as well as technical Books. We have following training's and books. 1. Hadoop Professional Training with Hands On sessions. 2. Apache Spark Professional Training with Hands On sessions. 3. Apache Pig Professional Training and Books. 4. Apache Hive Professional Training 5. Apache HBase training and Book

Download or read book Top 200 Data Engineer Interview Questions and Answers written by Knowledge Powerhouse and published by . This book was released on 2017-03-19 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Top 200 Data Engineer Interview Questions Big Data and Data Science are the most popular technology trends. There is a growing demand for Data Engineer job in technology companies. This book contains technical interview questions that an interviewer asks for Data Engineer position. Each question is accompanied with an answer so that you can prepare for job interview in short time. The book contains questions on Apache Hadoop, Hive, Spark, SQL and MySQL. It is a combination of our five other books. We have compiled this list after attending dozens of technical interviews in top-notch companies like- Airbnb, Netflix, Amazon etc.Often, these questions and concepts are used in our daily work. But these are most helpful when an Interviewer is trying to test your deep knowledge of Big Data topics like- Hadoop, Hive, Spark, SQL, MySQL etc. What are the Big Data topics covered in this book? We cover a wide variety of Big Data and Data Science topics in this book. Some of the topics are Apache Hadoop, Hive, Spark, SQL, MySql etc. How will this book help me? By reading this book, you do not have to spend time searching the Internet for Data Engineer interview questions. We have already compiled the list of the most popular and the latest Data Engineer Interview questions. Are there answers in this book? Yes, in this book each question is followed by an answer. So you can save time in interview preparation. What is the best way of reading this book? You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass, mark the questions that you could not answer by yourself. Then, in second pass go through only the difficult questions. After going through this book 2-3 times, you will be well prepared to face a technical interview for a Data Engineer position. What is the level of questions in this book? This book contains questions that are good for a beginner Data engineer to a senior Data engineer. The difficulty level of question varies in the book from Fresher to a Seasoned professional. What are the sample questions in this book? What is the difference between ROLLBACK TO SAVEPOINT and RELEASE SAVEPOINT? How will you see the current user logged into MySQL connection? Can we create multiple tables in Hive for a data file? Can we use Hive for Online Transaction Processing (OLTP) systems? Can we use same name for a TABLE and VIEW in Hive? How can we get a random number between 1 and 100 in MySQL? How can you copy the structure of a table into another table without copying the data? How can you find 10 employees with Odd number as Employee ID? How does CONCAT function work in Hive? How will you change the data type of a column in Hive? How will you check if a file exists in HDFS? How will you check if a table exists in MySQL? How will you run Unix commands from Hive? How will you search for a String in MySQL column? How will you see the structure of a table in MySQL? How will you select the storage level in Apache Spark? How will you synchronize the changes made to a file in Distributed Cache in Hadoop? If we set Replication factor 3 for a file, does it mean any computation will also take place 3 times? Is it safe to use ROWID to locate a record in Oracle SQL queries? What are different Persistence levels in Apache Spark? What are the common Transformations in Apache Spark? http://www.knowledgepowerhouse.com

Download or read book 500 Data Analytics Interview Questions and Answers written by Vamsee Puligadda and published by Vamsee Puligadda. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge for Free... Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing only concepts but not focusing on actually which questions will be asked in the interview? Don't be that person this time. This is the most comprehensive Data Analytics interview questions book that you can ever find out. It contains: 500 most frequently asked and important Data Analytics interview questions and answers Wide range of questions which cover not only basics in Data Analytics but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.

Download or read book Hadoop Administrator Interview Questions written by Rashmi Shah and published by HadoopExam Learning resources. This book was released on with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloudera® Enterprise is one of the fastest growing platforms for the BigData computing world, which accommodate various open source tools like CDH, Hive, Impala, HBase and many more as well as licensed products like Cloudera Manager and Cloudera Navigator. There are various organization who had already deployed the Cloudera Enterprise solution in the production env, and running millions of queries and data processing on daily basis. Cloudera Enterprise is such a vast and managed platform, that as individual, cannot manage the entire cluster. Even single administrator cannot have entire cluster knowledge, that’s the reason there is a huge demand for the Cloudera Administrator in the market specially in the North America, Canada, France, UAE, Germany, India etc. Many international investment and retail bank already installed the Cloudera Enterprise in the production environment, Healthcare and retail e-commerce industry which has huge volume of data generated on daily basis do not have a choice and they have to have Hadoop based platform deployed. Cloudera Enterprise is the pioneer and not any other company is close to the Cloudera for the Hadoop Solution, and demand for Cloudera certified Hadoop Administrators are high in demand. That’s the reason HadoopExam is launching Hadoop Administrator Interview Preparation Material, which is specially designed for the Cloudera Enterprise product, you have to go through all the questions mentioned in this book before your real interview. This book certainly helpful for your real interview, however does not guarantee that you will clear that interview or not. In this book we have covered various terminology, concepts, architectural perspective, Impala, Hive, Cloudera Manager, Cloudera Navigator and Some part of Cloudera Altus. We will be continuously upgrading this book. So, you can get the access to most recent material. Please keep in mind this book is written mainly for the Cloudera Enterprise Hadoop Administrator, and it may be helpful if you are working on any other Hadoop Solution provider as well.

Download or read book Hadoop Administration Apache Ambari Interview Questions written by Rashmi Shah and published by HadoopExam Learning Resources. This book was released on with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hadoop Admin: Apache Ambari interview Questions which include the 118 questions in total and it will prepare you for the Hadoop Administration. It is not necessary this all questions would be asked during the interview process. But HadoopExam tries to cover all possible concepts which needs to learn for knowing the Apache Ambari Hadoop Cluster management tool. These questions and answer would be helpful to understand the various components, operations, monitoring and administering the Hadoop cluster for sure. The benefit of Question and answer format is that, it would allow you to understand the thing in depth and you can get the better insight on the subject. This book was created by the Engineering team of HadoopExam which has in depth knowledge about the Hadoop Cluster Administration and Created HandsOn Hadoop Administration training. The team target is to make you learn the subject as in depth as possible with the minimum effort hence we have material in Question, Answers format, On-demand video trainings, E-Books, Projects and POC etc. We are delighted when learners come and give the feedback about our material and become repeat subscriber because they regularly get new material as well as updated material. Again all the best and please provide the feedback on the [email protected] or [email protected] . Wherever possible we are trying to help you in your career.

Download or read book RocketPrep Ace Your Data Science Interview 300 Practice Questions and Answers Machine Learning Statistics Databases and More written by Zack Austin and published by Lulu.com. This book was released on 2017-12-09 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here's what you get in this book: - 300 practice questions and answers spanning the breadth of topics under the data science umbrella - Covers statistics, machine learning, SQL, NoSQL, Hadoop and bioinformatics - Emphasis on real-world application with a chapter on Python libraries for machine learning - Focus on the most frequently asked interview questions. Avoid information overload - Compact format: easy to read, easy to carry, so you can study on-the-go Now, you finally have what you need to crush your data science interview, and land that dream job. About The Author Zack Austin has been building large scale enterprise systems for clients in the media, telecom, financial services and publishing since 2001. He is based in New York City.

Download or read book 500 Data Science Interview Questions and Answers written by Vamsee Puligadda and published by Vamsee Puligadda. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge for Free... Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing only concepts but not focusing on actually which questions will be asked in the interview? Don't be that person this time. This is the most comprehensive Data Science interview questions book that you can ever find out. It contains: 500 most frequently asked and important Data Science interview questions and answers Wide range of questions which cover not only basics in Data Science but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.

Download or read book BIG DATA AND HADOOP written by Mayank Bhusan and published by BPB Publications. This book was released on 2018-06-02 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book contains the latest trend in IT industry 'BigData and Hadoop'. It explains how big is 'Big Data' and why everybody is trying to implement this into their IT project.It includes research work on various topics, theoretical and practical approach, each component of the architecture is described along with current industry trends.Big Data and Hadoop have taken together are a new skill as per the industry standards. Readers will get a compact book along with the industry experience and would be a reference to help readers.KEY FEATURES Overview Of Big Data, Basics of Hadoop, Hadoop Distributed File System, HBase, MapReduce, HIVE: The Dataware House Of Hadoop, PIG: The Higher Level Programming Environment, SQOOP: Importing Data From Heterogeneous Sources, Flume, Ozzie, Zookeeper & Big Data Stream Mining, Chapter-wise Questions & Previous Years Questions

Download or read book Parallel and Concurrent Programming in Haskell written by Simon Marlow and published by "O'Reilly Media, Inc.". This book was released on 2013-07-12 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network

Download or read book Top 50 Apache Spark Interview Questions and Answers written by Knowledge Powerhouse and published by . This book was released on 2017-03-18 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction: Top 50 Apache Spark Interview Questions & Answers Apache Spark is a highly popular trend in technology world. There is a growing demand for Data Engineer jobs with Apache Spark knowledge in IT Industry. This book contains technical interview questions that an interviewer asks for Apache Spark. Each question is accompanied with an answer so that you can prepare for job interview in short time. We have compiled this list after attending dozens of technical interviews in top-notch companies like- Amazon, Netflix, Uber etc.Often, these questions and concepts are used in our daily work. There is a sample answer with each question. But try to answer these questions in your own words.After going through this book 2-3 times, you will be well prepared to face interview of Apache Spark topic for Data Engineer position. How will this book help me? By reading this book, you do not have to spend time searching the Internet for Apache Spark Data Engineer interview questions. We have already compiled the list of most popular and latest Apache Spark Data Engineer Interview questions. Are there answers in this book? Yes, in this book each question is followed by an answer. So you can save time in interview preparation. What is the best way of reading this book? You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass try to go through the difficult questions. After going through this book 2-3 times, you will be well prepared to face Apache Spark Data Engineer interview in IT. What is the level of questions in this book? This book contains questions that are good for Software Engineer, Senior Software Engineer, Principal Engineer and Associate Architect level. What are the sample questions in this book? How will you minimize data transfer while working with Apache Spark? How does Spark Streaming work internally? What are the main features of Apache Spark? What is a Resilient Distribution Dataset in Apache Spark? What is a Transformation in Apache Spark? What are security options in Apache Spark? What are the two ways to create RDD in Spark? What are the main operations that can be done on a RDD in Apache Spark? What is a Shuffle operation in Spark? What are the operations that can cause a shuffle in Spark? What is purpose of Spark SQL? What is a DataFrame in Spark SQL? What is a Parquet file in Spark? What is the difference between Apache Spark and Apache Hadoop MapReduce? What are the main languages supported by Apache Spark? What is the use of SparkContext in Apache Spark? Do we need HDFS for running Spark application? What is Spark Streaming? What is a Pipeline in Apache Spark? How does Pipeline work in Apache Spark? What is the difference between Transformer and Estimator in Apache Spark? What are the different types of Cluster Managers in Apache Spark? What is the main use of MLib in Apache Spark? What is the Checkpointing in Apache Spark? What is an Accumulator in Apache Spark? What is a Broadcast variable in Apache Spark? What is Structured Streaming in Apache Spark? What is a Property Graph? What is Neighborhood Aggregation in Spark? What are different Persistence levels in Apache Spark? How will you select the storage level in Apache Spark? What are the options in Spark to create a Graph? What are the basic Graph operators in Spark? What is the partitioning approach used in GraphX of Apache Spark? http://www.knowledgepowerhouse.com

Download or read book Hadoop The Definitive Guide written by Tom White and published by "O'Reilly Media, Inc.". This book was released on 2012-05-10 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems

Download or read book How Smart Machines Think written by Sean Gerrish and published by MIT Press. This book was released on 2019-10-22 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everything you want to know about the breakthroughs in AI technology, machine learning, and deep learning—as seen in self-driving cars, Netflix recommendations, and more. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM’s Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today’s machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson’s famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.

Download or read book Machine Learning Bookcamp written by Alexey Grigorev and published by Simon and Schuster. This book was released on 2021-11-23 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application. Summary In Machine Learning Bookcamp you will: Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images Deploy ML models to a production-ready environment The only way to learn is to practice! In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three! About the book Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you’ll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You’ll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills! What's inside Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Deploy ML models to a production-ready environment About the reader Python programming skills assumed. No previous machine learning knowledge is required. About the author Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data. Table of Contents 1 Introduction to machine learning 2 Machine learning for regression 3 Machine learning for classification 4 Evaluation metrics for classification 5 Deploying machine learning models 6 Decision trees and ensemble learning 7 Neural networks and deep learning 8 Serverless deep learning 9 Serving models with Kubernetes and Kubeflow