Cloudera Inc. is a United States-based software company that provides Apache Hadoop-based software, support and services, and training to business customers.

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Cloudera
Cloudera
SlideShare Presentation
  • In this webinar, we will cover: Technical capabilities required in your data platform including metadata classification on ingest, column-level lineage, fine-grained authorization, encryption, and more How a shared data experience can facilitate the safe handling of metadata Ways to enable your data platform for GDPR success

Cloudera
Cloudera
Blog Post
  • Self-service BI and exploratory analytics are some of the most common use cases we see our customers running on Cloudera’s analytic database solution. Over the past year, we made significant advancements to provide a simpler user experience for SQL developers and make them more productive for their everyday self-service BI tasks and workflows by leveraging Hue as the SQL development workbench. Wit...

Cloudera
Cloudera
YouTube Video
Cloudera
Cloudera
YouTube Video
  • Cloudera 株式会社 フィールドデータサイエンティスト 有賀 康顕 機械学習を含んだシステムを「本番適用する」というと何をイメージするでしょうか?本セッションでは、機械学習の一般的な本番適用についての体系化と課題を明らかにし、プロダクトへのデプロイパターンとビッグデータのエコシステムでの例を紹介します。 *本ビデオはCloudera World Tokyo 2017でのセッションを収録したものです。

Cloudera
Cloudera
YouTube Video
  • Cloudera 株式会社 Systems Engineering Senior Systems Engineer 三宅 剛史 クラウド上で分析や機械学習ができるサービスが昨今飛躍的に増えてきています。そのおかげで大規模なデータを扱うことの敷居は随分と下がりました。一方、その成果を持続可能な形で商用環境に展開する際には様々な困難に直面することもわかってきました。本セッションではビッグデータのプラットフォームベンダーとして長年実績のある Cloudera がいかにクラウドに最適なアーキテクチャーをビジョンし、様々な製品群として実装し、どのようにお客様の困難を解決してきたかをご紹介します。 *本ビデオはCloudera World Tokyo 2017でのセッションを収録したものです。

Cloudera
Cloudera
YouTube Video
  • Cloudera 株式会社 セールスエンジニア 佐藤 貴彦 Apache Kuduは、HDFSやHBaseに続き、Hadoopエコシステムにおけるストレージ層として登場しました。そのリレーショナルDBのような使い勝手の良さと、Hadoopエコシステムとして大規模データに対する取り回しのよさから、BIやDWHのような分析システムにおけるDBとして活躍することが増えてきました。本講演では、Kuduの特性に触れながら、実際に分析システムをどのように構築するのかについてお話します。 *本ビデオはCloudera World Tokyo 2017でのセッションを収録したものです。

Cloudera
Cloudera
Blog Post
  • Gartner’s recently released report “Master Data Management Forms the Basis of a Trusted 360-Degree View of the Customer,” shares the results of an executive survey highlighting several key points, including that customer initiatives, are among CEOs’ top five priorities in 2018. The report includes numerous strategic recommendations and outlines the impact of a Master Data… Read More The post The ...

Cloudera
Cloudera
SlideShare Presentation
  • Presented by Shioulin Sam, Data Scientist, Cloudera Fast Forward Labs at Cloudera Sessions Boston 2018 Even with the incredible advances in Data Science, Machine Learning, and AI, general off-the-shelf software does not solve your specific business challenges. Just having large volumes of data isn’t enough. Tapping into and creating expertise in the implementation and operationalization of ML, a...

Cloudera
Cloudera
SlideShare Presentation
  • Presented by Amy O'Connor, Chief Data and Information Officer, Cloudera Businesses and organizations of all sizes are suddenly flooded in data from a hyper-connected world and need solutions to analyze and act upon it. Machine Learning and Artificial Intelligence (AI) have emerged to help understand patterns in the data, predict outcomes, and prescribe the optimal actions to impact those outcome...

Cloudera
Cloudera
Blog Post
  • The multi-part blog post Untangling Apache Hadoop YARN provided an overview of how the YARN scheduler works. In this post we discuss technical details around how FairScheduler Preemption works and best practices to consider when configuring it. We also present a recent overhaul of FairScheduler Preemption in CDH 5.11 which attempts to address a number of issues as documented in YARN-4752. Definit...

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