1) Database management tools (DBMS) are facing a trend toward diversification as the era demands, with many different database systems existing that have high surface-level similarities in functions and attributes.
2) By 2025, the amount of data generated worldwide will increase dramatically from 23 zettabytes in 2017 to 175 zettabytes, with approximately 30% of the data being real-time data.
3) In selecting a database, it is important to understand the inherent characteristics and properties of each system and choose a DB that is naturally suited for the target domain or workload.
NTTコミュニケーションズでは、Azure Stack Hub with GPUを先行で導入し検証を行っています。本資料では、実際に利用している立場からデモを交えつつAzure Stack Hub with GPUのユースケースをお話すると共に、GPUのベンチマークを含む他社クラウドとの性能比較結果について情報共有をいたします。
1) Database management tools (DBMS) are facing a trend toward diversification as the era demands, with many different database systems existing that have high surface-level similarities in functions and attributes.
2) By 2025, the amount of data generated worldwide will increase dramatically from 23 zettabytes in 2017 to 175 zettabytes, with approximately 30% of the data being real-time data.
3) In selecting a database, it is important to understand the inherent characteristics and properties of each system and choose a DB that is naturally suited for the target domain or workload.
NTTコミュニケーションズでは、Azure Stack Hub with GPUを先行で導入し検証を行っています。本資料では、実際に利用している立場からデモを交えつつAzure Stack Hub with GPUのユースケースをお話すると共に、GPUのベンチマークを含む他社クラウドとの性能比較結果について情報共有をいたします。
GridDB: A Distributed SQL time series database for IoT and Big Datagriddb
VLDB 2020 conference
Monday, August 31 Friday, September 4, 202
GridDB team hosted a virtual sponsor booth toshiba (55s-8) demo session on "A Distributed SQL time series database for IoT and Big Data" today at 10am JST (1am UTC) in VLDB 2020
https://vldb2020.org