《Hadoop:The Definitive Guide 4th Edition》Chapter 1 Meet Hadoop
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- We live in the data age
- In a nutshell,this is what Hadoop provides:a reliable,scalable platform for storage and analysis.What’s more,because it runs on commodity hardware and is open source,Hadoop is affordable.
- For all its strengths,MapReduce is fundamentally a batch processing system, and is not suitable for interactive analysis.You can’t run a query and get results back in a few seconds or less.Queries typically take minutes or more, so it’s best for offline use.
Hadoop has evolved beyond batch processing.Indeed,the term “Hadoop” is sometimes used to refer to a larger ecosystem of projects,not just HDFS and MapReduce, that fall under the umbrella of infrastructure for distributed computing and large-scale data processing.
The Hadoop ecosystem includes Spark,Storm,Hive,HBase etc. - Book Structure
- Part I
Meet Hadoop
MapReduce
HDFS
YARN
Hadoop IO - Part II
MapReduce Application
How MapReduce Works
MapReduce Types and Formats
Advanced MapReduce Feature - Part III
Setting Up a Hadoop Cluster
Administering Hadoop - Part IV
Related Projects - Part V
Case Studies
- Part I
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