2. Whoweare?
Global Black Belt, Gaming Technology Sales Professional is technical sales role within our
enterprise sales organization with a special focus on advanced IT workloads in gaming industry.
We're passionate about helping our gaming customers and partners in China, Japan, Korea and
other Asian countries to start Azure journey with successful launch
ジサン
• データ分析
• 車の運転
• MMORPG
• ヨガ
• 日本食!
ぶっちーさん
• ビール
• ブロスタ
• カレー
• Webサーバー
• Bot開発
6. 今年注目のAzure新サービス「AzureDataExplorer」
General Availability: Azure Data Explorer
Posted on Thursday, February 7, 2019
Ask questions and iteratively explore data on the fly to improve p
roducts, enhance customer experiences, monitor devices, and bo
ost operations.
Quickly identify patterns, anomalies, and trends in your data. Exp
lore new questions and get answers in minutes. Run as many que
ries as you need, thanks to the optimized cost structure.
2⽉に⼀般提供開始したAzure Data Explorer
質問によってすばやく反復的にデータを調査
製品の改良、カスタマー エクスペリエンスの強化、
デバイスの監視、操作の向上を実現できます。
データのパターン、異常、および傾向を特定する
新たな問題を調査し、数分で回答を得る
7. AzureDataExplorer
Fastandfullymanagedbigdataanalyticsservice
フルマネージド
Fully managed for efficiency
Focus on insights, not the infra-
structure for fast time to value
No infrastructure to manage;
provision the service, choose the
SKU for your workload, and create
database.
ストリーミングデータ
Optimized for streaming data
Get near-instant insights
from fast-flowing data
Scale linearly up to 200 MB per second
per node with highly performant, low
latency ingestion.
ノードごとに200MB/Sec
リニアにスケールアウト可能
フレキシブルなBigデータ分析
Designed for data exploration
Run ad-hoc queries using the
intuitive query language
Returns results from 1 Billion records <
1 second without modifying the data
or metadata
10億レコードを対象にしたクエリーも、
1秒以内に応答します。(Demoあり)
8. Telemetry Analytics for internal Analytics Data Platform for products
AI IOT
Interactive Analytics Big Data Platform
2015 - 2016
Starting with 1st party validation
Building modern analytics
Vision of analytics platform for MSFT
2019
Analytics engine for 3rd party offers
Unified platform across OMS/AI
Expanded scenarios for IOT timeseries
Bridged across client/server security
2017
GA - February 2019
AzureDataExplorer-Evolution
OMS ASC Defender
9. 5 HB
Data ingested per year
13.1 B
Total queries
600 K
Cores
3.7 K
Cluster
460 PB
Total data size
46
Regions in Azure
42 K
Nodes
265 K
Databases
22.6K
Explorer distinct users
AzureDataExplorer-BytheNumbers
13. [Requirement]
• Stream & batch ingestion with Logstash & Azure Log Analytics
• Send alert for anomaly to Slack in timely manner
CustomerStory:CaseA
14. [Requirement]
• Experience overall Azure Data Service
• ETL Process(orchestration) is the highest priority
• Initial data ingestion & daily batch process
• Comfortable for co-working with business dept.
[Compete]
• AWS, Google
CustomerStory:CaseB