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HBase Architecture: Regions (Part-2)
Previously we are introduced to the HBase architecture and examine the most basic component of the architecture that is RegionServer.
HBase Data Model: Row Keys and Column Families (Part – 1)
HBase data stores comprises of one or more tables, that are indexed by row keys. Data is stored in rows with columns, and rows can have multiple versions.
Big Data: What is Sparse Data in HBase?
As we might have guessed, the Google’s BigTable distributed data storage system(DDSS) was designed to meet the demands of big data. Now, big data applications store massive amount of data but big data content is also often variable.
Big Data: Evolution of HBase
I think everybody remember his first surfing experience on the World Wide Web,; we just knew that it was an incredible innovation for the IT industry.
Big Data: CAP Theorem
Selecting a database which fits in our application requirement is a very daunting task since “no one size fits all”.
Pig Latin Operators in Hadoop
Pig Latin has a simple syntax with powerful semantics we will use to carry out two primary operations:
Hadoop integration with R
Developers and Programmers are still continue to explore various approaches to leverage the distributed computation benefits of MapReduce and the almost limitless storage capabilities of HDFS in intuitive manner that can be exploited by R.
Machine Learning with Mahout and Collaborative Filtering
Machine learning refers to a feild of artificial intelligence (A.I.) functions that provides tools enabling computers to enhance their analysis on the basis of previous events.
MapReduce Reducer Class:
MapReduce API has two main classes which do the Map-Reduce task for us: Mapper class and Reducer class.
Pig Architecture and Application Flow in Hadoop
Simple” often sense as “elegant” when it comes to those remarkable architectural drawings for that new Silicon Valley mansion we have planned for when the money starts rolling in after we implement Hadoop.
YARN: Yet Another Resource Negotiator
With the release of Hadoop 2, however, YARN was introduced, which open doors for whole new world of data processing opportunities.
MapReduce Mapper Class:
Mapper class is responsible for providing implementations for mapping jobs in MapReduce.