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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…

Ideas: How Bigadata Helps HR Teams


Big Data is the buzzword of the year. Every leader — whether they’re managing a small team or are at the helm of a multinational corporation with thousands of employees — is wondering how they can use Big Data to better get to know their people, to create a setting that better suits their needs and, in turn, drive recruitment and retention.

As co-authors of The Decoded Company: Know Your Talent Better Than You Know Your Customers, we’ve spent a lot of time thinking about this exact topic. Here are the top five trends you should be thinking about.

  1.  We are living in a data-abundant environment, and it’s changing everything. Gary Hamel, one of the world’s leading thinkers on the topic of management, has written extensively on the topic of the technology of leadership (or what he more accurately calls the technology of human accomplishment).
  2. He believes — and we tend to agree — that this might be the most important technology humanity has ever created. It gives us extraordinary superpowers to organize people into achieving feats that would be otherwise impossible, particularly from an economic perspective. Consider, for example, that Apple has achieved a market cap of $468.99B with 80,300 full-time employees (from its 2013 Annual report), or almost $6m per head.
  3. The challenge is that the management tools we use every day were designed around the assumption that data is expensive to gather and therefore infrequently available. Today’s reality is very different.
  4. Data is abundant and incredibly cheap to gather, store, process, and analyze. This epic shift has led to radically different business models on one hand, but only incremental management philosophy tinkering on the other.
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