Smart data integration to hybrid data analysis infrastructureDataWorks Summit
To improve customer value and corporate competitiveness, it is necessary to deal with advanced analysis using big data, including data of core systems, and digital transformation.
At the same time, examples of hybrid construction of on-premise clouds are also spreading.
In this session, we will introduce the technology and the latest case examples of applying real-time replication utilized in the backbone system (RDBMS) to the Hadoop data analysis infrastructure (Hadoop Data Lake) of the hybrid configuration.
Smart data integration to hybrid data analysis infrastructureDataWorks Summit
To improve customer value and corporate competitiveness, it is necessary to deal with advanced analysis using big data, including data of core systems, and digital transformation.
At the same time, examples of hybrid construction of on-premise clouds are also spreading.
In this session, we will introduce the technology and the latest case examples of applying real-time replication utilized in the backbone system (RDBMS) to the Hadoop data analysis infrastructure (Hadoop Data Lake) of the hybrid configuration.
OracleならではのHadoopソリューションである、Oracle Big Data SQLの最新バージョン3.1がリリースされました
ビッグデータ、IoTにより、真にビジネス価値を生み出すためには、HadoopやNoSQL上のデータのみならず、RDBMS上のビジネスデータとの連携とが必須となります
今回のアップデートにより、よりそれらすべてのデータの統合を実現し、より多くのお客さまの、ビッグデータ/IoTからの真なるビジネス価値創出と、競争優位確立をご支援させていただきます
Beginner must-see! A future that can be opened by learning HadoopDataWorks Summit
What is "Hadoop" now? It is difficult to hear ... But those who are interested, those who are thinking about the future as active as a data engineer, those who are new to the first time, through introductions of Hadoop and the surrounding ecosystem, introducing merits and examples, "What now Should I learn? "And I will introduce the future spreading through learning Hadoop and the surrounding ecosystem.
47. 統合データレイクの構築にHortonworksを採⽤
⽇産⾃動⾞株式会社様
Data Sources Big Data Platform Data Analytics
Platform
Data Integration
Platform
ESB
MLlib
Data Sources
Data Mgmt.
Platform
Data Integration
Platform
Data Sources for Analytics
Data Analytics
Platform
Hortonworks Data Platform
LLAP
Data Mart
AMQP
ETL
à ⾛⾏データを⻑期保管するための
インフラが必要
à サイロ化している社内データの統合
à さまざまなデータをクロスファンクショナル
に活⽤するためのプラットフォームが必要
導⼊背景
サイロ化されたデータをデータレイクに統合
導⼊効果
à 社内のあらゆるデータを蓄積できる
データレイクの構築を実現
à さまざまなデータ活⽤に対するニーズが向上
à IoT データ分析や、
グローバルデータレイクの構想