Hadoop: Understanding the Big Data Processing Method

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Hadoop: Understanding the Big Data Processing Method

Journal Title: International Journal of Science and Research (IJSR) - Year 2015, Vol 4, Issue 3

Abstract

“Every day, we create 2.5 quintillion bytes of data so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is “big data.” Big data requires different approaches: Techniques, tools, architecture and data processing methods. The main focus of the paper is to draw the state-of-the-art techniques and technologies for Big Data processing with the help of Big Data application- Hadoop purchase transaction records, and cell phone GPS signals to name a few. This data is “big data.” Big data requires different approaches: Techniques, tools, architecture and data processing methods. The main focus of the paper is to draw the state-of-the-art techniques and technologies for Big Data processing with the help of Big Data application- Hadoop

Authors and Affiliations

Keywords

Apache Hadoop big data Java Google File System Google MapReduce open source MapR Oracle distributed file system HDFS redundant array of inexpensive disks replication factor NameNode DataNode MapReduce JobTracker TaskTracke r yet another resource negotiator PigLatin HiveQL Hbase

EP ID EP357372
DOI -
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