Cloudera Blog
The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having […] Read blog post
What are some promising open-source alternatives to Hadoop MapReduce for map/reduce?
Answer (1 of 19): Hadoop consists of many subprojects: HDFS, MapReduce, Hive, Pig, HBase, and Avro. I believe this question refers to the MapReduce implementation, which can operate over a variety of storage systems. I agree that Hadoop could use decent competition; having used the software daily...
Cloudera Blog
The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having […] Read blog post
ScannerTimeoutException exception in TableMapper now kills MR job - Grokbase
Hi Oleg, You are right. Your MR job used to work because of a bug in CDH3u0 (HBASE-4269). The bug is fixed in CDH3u3 and your MR job doesn't work any more. You can try to increase the timeout period by configuring this property in hbase-site.xml file: hbase.regionserver.lease.period The default is 60000 which is 1 minute. If you don't want to increase it as you mentioned, you can just change it dy
Dean Keynote Ladis2009 | PDF | Map Reduce | Load Balancing (Computing)
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Hadoop MapReduce デザインパターン
TOPICS Database , Java 発行年月日 2011年10月 PRINT LENGTH 210 ISBN 978-4-87311-512-2 原書 Data-Intensive Text Processing with MapReduce FORMAT PDF 大量のデータにアクセスすることによって、商業、科学、コンピューティングといった様々な分野において新たな機会が生み出されています。MapReduceは、巨大なデータセットに対する分散処理を実行するプログラミングモデルであり、安価なサーバーからなるクラスタ上で大規模データの処理を行うためのフレームワークです。 本書は、自然言語処理、情報抽出、機械学習などに共通する、テキスト処理のアルゴリズムに重点を置きながら、MapReduceのアルゴリズム設計について解説します。またMapReduceのデザインパターンの概念を説明し、様
MapReduce: A major step backwards | The Database Column
on Jan 17 in Database architecture, Database history, Database innovation posted by DeWitt [Note: Although the system attributes this post to a single author, it was written by David J. DeWitt and Michael Stonebraker] On January 8, a Database Column reader asked for our views on new distributed database research efforts, and we’ll begin here with our views on MapReduce. This is a good time to dis
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Hadoop MapReduce in the Cassandra Cluster | DataStax