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

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. --

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.

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.

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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

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