Presentation
Big Data Interview Questions
This blog is an ongoing effort to make it a one stop read for interview questions in Big Data, Hadoop Ecosystem, Data Science and more. All inclusive interview guidance guide is now published.
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Saturday, October 31, 2015
Saturday, September 12, 2015
Tuesday, September 8, 2015
Data Science Series
What will be covered as a part of the Data Science Series?
The Data Science Series will present various topics like data manipulation, analysis and communication. It will give you an opportunity to apply data science techniques to Big Data.
The Data Science series is organized as follows:
Session 1: Statistics for Data Science
Session 2: R Essentials for Data Science
Session 3: Unsupervised Learning
Session 4: Supervised Learning
What can you expect from the Data Science Series?
The Data Science Series will provide the tools, methods, and practical experience to enable you to make accurate predictions about data, which ultimately leads to better decision-making in business.
What skill sets can you expect to develop?
The Data Science Series will provide you with the technical skills in data wrangling, analysis and visualization. You will learning to apply machine learning and data mining algorithms. You will be able to use statistical analysis and create models using R programming so will gain a good grasp of this programming language.
Prerequisites and Requirements
Basic understanding of programming concepts and a strong interest in data science.
Labels:
Data Science Series
Location:
San Francisco Bay Area, CA, USA
Thursday, May 14, 2015
Hive Refresher
Hi All,
Big data has tremendous potential to offer insight to decision makers in ways that can completely transform the way they conduct business. Hive is a Hadoop based system for querying and analyzing large volumes of Structured data which is stored on HDFS.
We have attempted to organize the otherwise ad hoc knowledge in an easy to grasp Question-Answer format.This book includes a number working examples that you can easily master. Now, you can spend less time searching for all the relevant information and more time mastering Hive and Impala.
By the end of this book you should be well versed with the major topics in Hive.
Big data has tremendous potential to offer insight to decision makers in ways that can completely transform the way they conduct business. Hive is a Hadoop based system for querying and analyzing large volumes of Structured data which is stored on HDFS.
We have attempted to organize the otherwise ad hoc knowledge in an easy to grasp Question-Answer format.This book includes a number working examples that you can easily master. Now, you can spend less time searching for all the relevant information and more time mastering Hive and Impala.
By the end of this book you should be well versed with the major topics in Hive.
Friday, March 13, 2015
Hadoop Interview Guide
Hi,
Have you always wanted to get trained in BigData Hadoop?
Want to prepare for an upcoming interview for Hadoop position?
Have you always wanted to get trained in BigData Hadoop?
Want to prepare for an upcoming interview for Hadoop position?
Are you already in IT field and want to venture into Hadoop?
There are innumerable resources scattered over the web making it difficult to decide where to start?
Great news !!! You have come to the right place. Hadoop Interview Guide is now published globally on Amazon Kindle.
Now, you can spend less time searching for all the relevant information and more time mastering the various Hadoop components.
Great news !!! You have come to the right place. Hadoop Interview Guide is now published globally on Amazon Kindle.
Now, you can spend less time searching for all the relevant information and more time mastering the various Hadoop components.
Hadoop Interview Guide contains complete training along with several projects real world data with working for hands on. Packed with over 400 interview questions with detailed answers.
Watch the promo for the ebook:
Watch the promo for the ebook:
We have attempted to organize the otherwise ad hoc knowledge in an easy to grasp Question-Answer format. Now, you can spend less time searching for all the relevant information and more time mastering the various Hadoop components like
Data Storage: HDFS
Data Processing: MapReduce/YARN
Data Ingestion: Flume, Sqoop
Data Analysis: Pig, Hive, Impala
Job Coordination: Oozie
Bonus Chapter: Java Refresher
Bonus Chapter: Java Refresher
Stop searching and start learning now.
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