Java one14 handsonhadoop
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The document introduces Daniel Templeton and Inyoung Cho, who will be hosting a hands-on Hadoop lab. They define big data as any data that is difficult to store in a traditional database due to size, changing schemas, or being unstructured. The lab will provide overviews of the core Hadoop components - HDFS is a distributed file system that chunks and replicates files across nodes, MapReduce provides parallel processing in two phases of mapping and reducing, Hive allows SQL queries on Hadoop data by translating queries to MapReduce jobs, Impala improves on Hive by removing the MapReduce layer, Pig provides a scripting language that is also translated to MapReduce jobs. The hands-on lab is self-paced and
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JavaOne14 Hands-on Hadoop
The document introduces Daniel Templeton and Inyoung Cho, who will be hosting a hands-on Hadoop lab. They define "big data" as any data that is difficult to store in a traditional database due to size, changing schemas, or being unstructured. The lab will take about 2 hours and cover Hadoop components like HDFS for distributed storage, MapReduce for parallel processing, and Hive, Impala, and Pig for querying data. Questions are welcome from attendees.
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2. Install NTP to synchronize server times which are critical for consistency.
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JavaOne14 Hands-on Hadoop
The document introduces Daniel Templeton and Inyoung Cho, who will be hosting a hands-on Hadoop lab. They define "big data" as any data that is difficult to store in a traditional database due to size, changing schemas, or being unstructured. The lab will take about 2 hours and cover Hadoop components like HDFS for distributed storage, MapReduce for parallel processing, and Hive, Impala, and Pig for querying data. Questions are welcome from attendees.
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July 2012 - Blue Grass Chemical Agent-Destruction Pilot Plant Monthly Status ...
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- 5. What is Hadoop? ©2014 Cloudera, Inc. 5 All rights reserved.
- 6. 6 HDFS in a Nutshell • Distributed “file system” service • Highly scalable and fault resilient • Chunks files into “blocks” that are replicated and distributed across the cluster ©2014 Cloudera, Inc. 6 All rights reserved.
- 7. 7 MapReduce in a Nutshell • Embarrassingly parallel batch execution engine • Two phases: map and reduce • https://www.youtube.com/watch?v=bcjSe0xCHbE • Tasks are scheduled to run where the data is • Jobs are written to Java API ©2014 Cloudera, Inc. 7 All rights reserved.
- 8. 8 Hive in a Nutshell • SQL engine for Hadoop • Translates HiveQL into MapReduce jobs ©2014 Cloudera, Inc. 8 All rights reserved.
- 9. 9 Impala in a Nutshell • Hive with the MapReduce ©2014 Cloudera, Inc. 9 All rights reserved.
- 10. 10 Pig in a Nutshell • Script-like language for data operations • Translates into MapReduce jobs ©2014 Cloudera, Inc. 10 All rights reserved.
- 11. 11 The Lab • Self-paced • Should take right about 2 hours • “Additional Exercises” if you finish early • Inyoung and I are here to answer questions • Have fun! ©2014 Cloudera, Inc. 11 All rights reserved.
- 12. 12 ©2014 Cloudera, Inc. All rights reserved. Aaron Myers & Daniel Templeton