ITpro Active主催「ビッグデータはクラウドで操るBigData Platform Conference~IoT時代を勝ち抜くためのDataBase as a Service活用法~」<11月11日(水)開催>資料
実際のお客様事例をベースにインフラエンジニア、業務担当者、データサイエンティスト、マーケティングのペルソナをベースにそれぞれのシナリオでのクラウド環境を活用したデータ分析について講演
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.
Big Data Visual Analytics Realized By Hadoop and TableauDataWorks Summit
Tableau makes it easy for business users to find valuable insights quickly and easily from Hadoop's huge dataset. Even without the advanced knowledge of the query language, a lean visual analysis interface makes big data manageable for more people. Please mix with the demo and see.
The way to a smart factory armed with data utilizationDataWorks Summit
In this presentation, we will look at the appearance of smart factory that should come through introduction of plant conservation integration solution provided by our company. This solution is composed of workers at the manufacturing site and various applications that contribute to the improvement of the safety and efficiency of facilities and processes, and outlines the data utilization, project promotion, platform architecture etc. which are essential to it.
From data catalog to preparation. The latest data platform to accelerate the ...DataWorks Summit
New data governance is necessary in the big data era.
We will introduce big data comprehensive solution equipped with AI engine "CLAIRE", such as data cataloging across the enterprise, data preparation to support self-service analysis, development execution environment that can easily utilize Hadoop engine.
Enabling Fast Data Strategy: What’s new in Denodo Platform 6.0Denodo
In this presentation, you will see the new functionalities of the Denodo 6.0 detailing dynamic query optimization engine, managing enterprise deployments, and using information self-service for discovery and search.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/DzRtkg.
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.
Big Data Visual Analytics Realized By Hadoop and TableauDataWorks Summit
Tableau makes it easy for business users to find valuable insights quickly and easily from Hadoop's huge dataset. Even without the advanced knowledge of the query language, a lean visual analysis interface makes big data manageable for more people. Please mix with the demo and see.
The way to a smart factory armed with data utilizationDataWorks Summit
In this presentation, we will look at the appearance of smart factory that should come through introduction of plant conservation integration solution provided by our company. This solution is composed of workers at the manufacturing site and various applications that contribute to the improvement of the safety and efficiency of facilities and processes, and outlines the data utilization, project promotion, platform architecture etc. which are essential to it.
From data catalog to preparation. The latest data platform to accelerate the ...DataWorks Summit
New data governance is necessary in the big data era.
We will introduce big data comprehensive solution equipped with AI engine "CLAIRE", such as data cataloging across the enterprise, data preparation to support self-service analysis, development execution environment that can easily utilize Hadoop engine.
Enabling Fast Data Strategy: What’s new in Denodo Platform 6.0Denodo
In this presentation, you will see the new functionalities of the Denodo 6.0 detailing dynamic query optimization engine, managing enterprise deployments, and using information self-service for discovery and search.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/DzRtkg.
SAMOA: A Platform for Mining Big Data Streams (Apache BigData Europe 2015)Nicolas Kourtellis
A general overview of the APACHE SAMOA platform for mining big data streams using machine learning algorithms running on distributed stream processing platforms such as Apache STORM, Apache Flink, Apache Samza and Apache Apex.
Results are shown from experimentation with VHT, the Vertical Hoeffding Tree proposed in "VHT: Vertical Hoeffding Tree." N. Kourtellis, G. De Francisci Morales, A. Bifet, A. Mordupo. IEEE BigData 2016.
Presentation in APACHE BIG DATA Europe 2015
Презентация Виталия Никитина о возомжностях платформы HPE Idol для работы с BigData в современном кол-центре. Аналитика аудио и текстовой информации на базе платформы HPE IDOL
SAMOA: A Platform for Mining Big Data Streams (Apache BigData North America 2...Nicolas Kourtellis
A general overview of the APACHE SAMOA platform for mining big data streams using machine learning algorithms running on distributed stream processing platforms such as Apache STORM, Apache Flink, Apache Samza and Apache Apex.
Results are shown from experimentation with VHT, the Vertical Hoeffding Tree proposed in "VHT: Vertical Hoeffding Tree." N. Kourtellis, G. De Francisci Morales, A. Bifet, A. Mordupo. IEEE BigData 2016.
Presentation in APACHE BIG DATA North America 2016
ANTS - 360 view of your customer - bigdata innovation summit 2016
Dữ liệu lớn, theo nghĩa đen, không phải là một cái gì đó mới, nó đã hiện hữu trong một thời gian dài. Bất kỳ một công ty đã kinh doanh trong một vài năm đều sở hữu một khối lượng dữ liệu từ thông tin khách hàng thông qua hồ sơ giao dịch và sử dụng sản phẩm. Những doanh nghiệp khác nhau sẽ có những khả năng khai thác và sử dụng dữ liệu lớn khác nhau.
Một số doanh nghiệp đã đạt đến độ chín muồi, trong khi đó một số doanh nghiệp khác chỉ vừa bắt đầu cuộc hành trình. Tại Việt Nam các doanh nghiệp viễn thông, các hãng hàng không, các ngân hàng, các tập đoàn bán lẻ, các cơ quan chính phủ đang sở hữu một khối lượng dữ liệu khổng lồ, tuy nhiên, việc xử lý, phân tích dữ liệu lớn còn đang trong giai đoạn rất sơ khai.
Diễn đàn dữ liệu lớn sẽ tập trung chia sẻ những kiến thức thực tế và mang tính chất ứng dụng để người tham dự có thể tích luỹ và áp dụng.
Event: #SE2016
Stage: IoT & BigData
Data: 2 of September 2016
Speaker: Vitalii Bondarenko
Topic: HD insight spark. Advanced in-memory Big Data analytics with Microsoft Azure
INHACKING site: https://inhacking.com
SE2016 site: http://se2016.inhacking.com/
BigData HUB is a non-profit organization that help to spread Big Data and Data Science technology around Egyptian universities and Globally.
https://www.facebook.com/BigDataHub
Oxalide MorningTech #1 - BigData
1er MorningTech @Oxalide, animé par Ludovic Piot (@lpiot), le 15 décembre 2016.
Pour cette 1ère édition du Morning Tech nous vous proposons une overview sur un des thèmes du moment : le Big Data.
Au delà de ce buzz word nous aborderons :
Les grands concepts
Les étapes clés des projets Big Data et les technologies à utiliser (stockage, ingestion, …)
Les enjeux des architectures Big Data (architecture lambda, …)
L'intelligence artificielle (machine learning, deep learning, …)
Et nous finirons par un cas d'usage du big data sur AWS autour de l'utilisation des données gyroscopiques de vos internautes mobiles
Subject: Oxalide's 1st MorningTech talk about BigData.
Date: 15-dec-2016
Speakers: Ludovic Piot (@lpiot, @oxalide)
Language: french
Lien SpeakerDeck : https://speakerdeck.com/lpiot/oxalide-morningtech-number-1-bigdata
Lien SlideShare : https://www.slideshare.net/LudovicPiot/oxalide-morningtech-1-bigdata
YouTube Video capture: https://youtu.be/7O85lRzvMY0
Main topics:
* Les grands enjeux du BigData
** les 3 V du Gartner : volume, variété, vélocité
* Le stockage des données
** datalake
** les technos
* L'ingestion des données
** ETL
** datastream
** les technos
* Les enjeux du compute
** map-reduce
** spark
** lambda architecture
* Démo d'une plateforme BigData sur AWS
* L'intelligence artificielle
** datascience exploratoire et notebooks,
** machine learning,
** deep learning,
** data pipeline
** les technos
* Pour aller plus loin
** La gouvernance des données
** La dataviz
위 자료는 BOAZ 2016 하반기 프로젝트 주제의 하나로, Advanced 정규세션 동안 Base 정규세션에서 배웠던 다양한 이론들과 기본 지식들, 그리고 툴 활용능력들을 직접 실행하며 진행한 결과물입니다.
*** 서울시 2030 나홀로족을 위한 라이프 가이드북 ***
서울에 거주하는 2030 나홀로족을 위해 제작된 라이프 가이드북. 이 가이드북의 주목적은 먹는 것(식) 그리고 사는 것(주)에 대해서 그에 관한 정보를 주는 것임.
6기 김승효 중앙대학교 응용통계학과
6기 김재은 이화여자대학교 시각디자인과
7기 박다혜 한국외국어대학교 통계학과
** 국내 최초 대학생 빅데이터 연합동아리 BOAZ **
Blog : http://BOAZbigdata.com
Facebook : http://fb.com/BOAZbigdata
9. Dataworks
8
データソース
Systems of Record
Systems of Engagement
データのクレンジング
および統合
ETL
クラウドでの
データベースサービス
IBM DB2/PDA
Cloudant
Oracle
Other relational
systems
IoT, Social Media
dashDBDataWorks
ETL
As a Service
• データ統合にかかる時間を節約。すぐに利用可能。
• 複数のデータソースへのアクセスを可能にするシンプルなETLツール
• dashDBなどクラウド上のデータベースはもちろん、オンプレミスで稼働する
データベースへもシームレスにアクセス可能