24/Apr/2017 1730-1900 JST
洛和会音羽病院総合内科 AARM
Department of General Internal Medicine, Rakuwakai Otowa Hospital, Kyoto, JAPAN
「効率的な検索法とPubMedの使い方」
"Efficient serach methods and how to use the PubMed"
24/Apr/2017 1730-1900 JST
洛和会音羽病院総合内科 AARM
Department of General Internal Medicine, Rakuwakai Otowa Hospital, Kyoto, JAPAN
「効率的な検索法とPubMedの使い方」
"Efficient serach methods and how to use the PubMed"
MapR 5.2: Getting More Value from the MapR Converged Community EditionMapR Technologies
Please join us to learn about the recent developments during the past year in the MapR Community Edition. In these slides, we will cover the following platform updates:
-Taking cluster monitoring to the next level with the Spyglass Initiative
-Real-time streaming with MapR Streams
-MapR-DB JSON document database and application development with OJAI
-Securing your data with access control expressions (ACEs)
We're introducing MapR Streams, a reliable, global event streaming system that connects data producers and data consumers across shared topics of information. With the integration of MapR Streams, comes the industry’s first and only converged data platform that integrates file, database, event streaming, and analytics to accelerate data-driven applications and address emerging IoT needs.
Are you ready to accelerate your business with the power of a truly global platform for integrating data-in-motion with data-at-rest?
Apache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッションMapR Technologies Japan
数あるSQL-on-Hadoopエンジンの中でも、標準SQL準拠、柔軟で動的なデータ解釈、様々なデータソースや格納形式への対応という特徴を持つApache Drill。デモを中心に、Drillの便利な機能を利用したデータ検索・分析の楽しみ方をご紹介します。2014年11月6日に開催されたCloudera World Tokyo 2014 LTセッションでの講演資料です。
Predicting failure in power networks, detecting fraudulent activities in payment card transactions, and identifying next logical products targeted at the right customer at the right time all require machine learning around massive data sets. This form of artificial intelligence requires complex self-learning algorithms, rapid data iteration for advanced analytics and a robust big data architecture that’s up to the task.
Learn how you can quickly exploit your existing IT infrastructure and scale operations in line with your budget to enjoy advanced data modeling, without having to invest in a large data science team.
Big Data Hadoop Briefing Hosted by Cisco, WWT and MapR: MapR Overview Present...ervogler
Learn more about how MapR gives you the most technologically advanced distribution for Hadoop, with the product, services, and partner network to ensure production success and continued success.
Learn about what technologies enable a new, modern Stream-based architecture to connect everything within application modules or across data centers and public clouds. Combine Kafka-style streaming and stream processing frameworks like Spark and Flink with Microservices and completely rethink your big data architecture away from state and into data flows.