This Hadoop tutorial provides a short introduction into working with big data in Hadoop via the Hortonworks Sandbox, HCatalog, Pig and Hive.
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4. What is Hadoop
Hadoop is a software framework for distributed processing of large
datasets across large clusters of computers.
Large datasets Terabytes or petabytes of data
Large clusters hundreds or thousands of nodes
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5. What is Hadoop (Cont’d)
Hadoop framework consists on two main layers
Distributed file system (HDFS)
Execution engine (Map Reduce)
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6. Hadoop Master/Slave Architecture
Hadoop is designed as a master-slave shared-nothing architecture
Master node (single node)
Many slave nodes
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7. Design Principles of Hadoop
Automatic parallelization & distribution
Hidden from the end-user
Fault tolerance and automatic recovery
Nodes/tasks will fail and will recover automatically
Clean and simple programming abstraction
Users only provide two functions “map” and “reduce”
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8. Who Uses Map Reduce/Hadoop
Google: Inventors of Map Reduce computing
paradigm
Yahoo: Developing Hadoop open-source of Map
Reduce
IBM, Microsoft, Oracle
Facebook, Amazon, AOL, Net Flex
Many others + universities and research labs
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9. Hadoop Distributed File System (HDFS)
Centralized name node
-
Many datanode (1000s)
1 2 3 4 5
File F
Blocks (64 MB)
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10. Effective course List
Microsoft Courses Programming Courses
Mobile Apps
Networking Courses Testing Tools
Digital Marketing
Salesforce CRM
Business Analyst
Hadoop
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11. For More Hadoop In-depth Knowledge
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Contact Us
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