Featured post

The Ultimate Cheat Sheet On Hadoop

Top 20 frequently asked questions to test your Hadoop knowledge given in the below Hadoop cheat sheet. Try finding your own answers and match the answers given here.




Question #1 

You have written a MapReduce job that will process 500 million input records and generate 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reducers which is a potential bottleneck. A custom implementation of which of the following interfaces is most likely to reduce the amount of intermediate data transferred across the network?



A. Writable
B. WritableComparable
C. InputFormat
D. OutputFormat
E. Combiner
F. Partitioner
Ans: e




Question #2 

Where is Hive metastore stored by default ?


A. In HDFS
B. In client machine in the form of a flat file.
C. In client machine in a derby database
D. In lib directory of HADOOP_HOME, and requires HADOOP_CLASSPATH to be modified.
Ans: c




Question…

Hadoop Skills Free Video Training

Are you interested in the world of Big data technologies, but find it a little cryptic and see the whole thing as a big puzzle. The hadoop free video training really useful to learn quickly.

Are you looking to understand how Big Data impact large and small business and people like you and me?
Do you feel many people talk about Big Data and Hadoop, and even do not know the basics like history of Hadoop, major players and vendors of Hadoop. Then this is the course just for you!
This course builds a essential fundamental understanding of Big Data problems and Hadoop as a solution. This course takes you through:
  1. Understanding of Big Data problems with easy to understand examples.
  2. History and advent of Hadoop right from when Hadoop wasn’t even named Hadoop.
  3. What is Hadoop Magic which makes it so unique and powerful.
  4. Understanding the difference between Data science and data engineering, which is one of the big confusions in selecting a carrier or understanding a job role.
  5. And most importantly, demystifying Hadoop vendors like Cloudera, MapR and Hortonworks by understanding about them.
What are the requirements
  • Interest in new technical field of Big Data
  • Interest in a new technology: Hadoop.
  • What am I going to get from this course?
  • Over 8 lectures and 44 mins of content!
  • To build fundamental knowledge of Big Data and Hadoop
  • To build essential understanding about Big Data and Hadoop.
What is the target audience
  • Big Data and Hadoop Enthusiast
  • Non-geeks and any one who wants to know about Big Data.

References

Follow us on Social media

Comments

Popular posts from this blog

AWS Vs Azure Load Balancers Top Insights

Hadoop File System Basic Commands

4 Important Skills You Need for Data Scientists

Hyperledger Fabric: 20 Real Interview Questions