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EN
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Uploaded by
Thunyaporn Kulna
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Internship
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Internship
1.
DATA VIRTUALIZATION BY THUNYAPORN
KULNA | PANUPAT BOONCHU
2.
AGENDA • Big Data •
Apache Hadoop • Apache Hive • Apache Sqoop • Apache Spark • Google Chart • ผลการดาเนินงาน
3.
Big Data ? Big
Data ?
4.
Big Data Tools
5.
Apache Hadoop
6.
Parallel Apache Hadoop
7.
HDFS Client NameNode BackupNode (Secondary Node) Local Disk DataNode Local
Disk DataNode Local Disk DataNode MasterNodesSlaveNodes
9.
Apache Hive HiveQL Data Warehouse Run
บน Hadoop
10.
Hive Architecture
11.
command Map Task HDFS Hbase Hive Hadoop Enterprise Data
Warehouse Document Based Systems Relational Database Apache Sqoop
12.
• ประมวลผลแบบ Cluster •
RDD (Resilient distributed dataset) • รองรับ Fault tolerant • ทางานร่วมกับ HDFS บน Hadoop Mesos Cloud SQL
13.
Client (driver) Master (Cluster Manager) Worker 1 Worker 2 Worker N … Scala Java Python Scala Java Python
14.
Ecosystem
15.
CHARTS Visualization API
16.
ข้อดีของ Big Data
Analytic • วิเคราะห์พฤติกรรมของผู้บริโภค • ผู้ให้บริการสามารถเข้าใจลูกค้าดียิ่งขึ้น • สามารถคาดการเหตุการณ์ที่จะเกิดขึ้นล่วงหน้าได้ • สามารถมองเห็นภาพรวมที่ผ่านมาได้ง่ายขึ้น
17.
ผลการดาเนินงาน
18.
Overview Start Finish
19.
Dataset Traffic Violation 756,828 ข้อมูล นาข้อมูลมาจาก
data.gov
20.
Traffic Violation นาไฟล์ใส่ไว้ใน hdfs
ของ hadoop
21.
ดึงข้อมูลจาก HDFS
22.
Export ผลลัพธ์เป็น csv Result
23.
Result นาข้อมูลที่ได้มาใส่ Google Chart จานวนอุบัติเหตุที่เกิดขึ้นในแต่ละปี
25.
ดึงข้อมูลจาก HDFS
26.
นาข้อมูลออกเป็นไฟล์ JSON
27.
นาข้อมูลที่ได้มาใส่ Google Chart
28.
END
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