1000 Big Data & Hadoop Interview Questions and Answers PDF Download

Author: Vamsee Puligadda
Publisher: Vamsee Puligadda
ISBN:
Category : Computers
Languages : en
Pages :

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Book Description
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.

Author: Vibrant Publishers
Publisher: Vibrant Publishers
ISBN: 194638349X
Category : Computers
Languages : en
Pages : 161

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Book Description
· 200 Hadoop BIG DATA Interview Questions · 76 HR Interview Questions · Real life scenario based questions · Strategies to respond to interview questions · 2 Aptitude Tests 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. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer. The following is included in this book: a) 200 Hadoop BIG DATA Interview Questions, Answers and Proven Strategies for getting hired as an IT professional b) Dozens of examples to respond to interview questions c) 76 HR Questions with Answers and Proven strategies to give specific, impressive, answers that help nail the interviews d) 2 Aptitude Tests download available on www.vibrantpublishers.com

Author: Vishwanathan Narayanan
Publisher:
ISBN: 9789389898323
Category : Computers
Languages : en
Pages : 96

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Book Description
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

Author: Vishwanathan Narayanan
Publisher:
ISBN:
Category : Apache Hadoop
Languages : en
Pages : 96

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Book Description
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. --

Author:
Publisher: PappuPass Learning Resources
ISBN:
Category :
Languages : en
Pages : 15

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Book Description
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

Author: Rashmi Shah
Publisher: HadoopExam Learning resources
ISBN:
Category : Business & Economics
Languages : en
Pages : 34

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Book Description
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.

Author: Knowledge Powerhouse
Publisher:
ISBN: 9781520879833
Category :
Languages : en
Pages : 166

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Book Description
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

Author: Mayank Bhusan
Publisher: BPB Publications
ISBN: 9387284832
Category : Computers
Languages : en
Pages : 333

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Book Description
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

Author: Zack Austin
Publisher: Lulu.com
ISBN: 138743196X
Category : Databases
Languages : en
Pages : 119

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Book Description
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.

Author: Knowledge Powerhouse
Publisher:
ISBN: 9781520870540
Category :
Languages : en
Pages : 47

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Book Description
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