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Thursday, February 27 • 9:50am - 10:40am
Extracting Metadata from Binary files in Hadoop

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Normal code for Hadoop involves text data. In this research effort sonar data files in binary format were loaded into Hadoop and using Java libraries on HDFS the Metadata (latitude, longitude, timestamp)were extracted and stored in a Hive database. The data was then moved to an Oracle Relational Model Database using Sqoop jobs. APEX was used to visualize the geographical data on Google maps.
Speakers
avatar for Arijit Das

Arijit Das

Research Associate, Naval Postgraduate School
Arijit Das is a computer scientist with BS/MS degrees in Computer Science (MNREC, India & Oregon State University) and an MSEE from University of Nevada Las Vegas. He currently is a research faculty at the Computer Science Department of the Naval Postgraduate School in Monterey, California... Read More →
avatar for Mitali Chowdhury

Mitali Chowdhury

Student, Pacific Grove High School
Mitali Chowdhury is a senior at Pacific Grove High School and a data analytics summer intern at the Naval Postgraduate School. In her research, she has used machine learning algorithms for multiple applications such as detecting anomalous aircraft flights and identifying mines in... Read More →
avatar for Shruthik Musukula

Shruthik Musukula

Software Development Intern, The Naval Postgraduate School
Shruthik Musukula is a senior at Bellarmine College Preparatory in San Jose. He has developed software for tech companies (Lightbend Inc.) and founded a student-run volunteer organization, CodeIt BayArea, which has taught free programming classes to 942 students from underrepresented... Read More →
avatar for Kaylin Li

Kaylin Li

Student, Lynbrook High School
Kaylin Li is a senior at Lynbrook High School and an intern at the Naval Postgraduate School. Her research involves developing a program to extract metadata from binary sonar files using Hadoop and Java.

Thursday February 27, 2020 9:50am - 10:40am PST
Bldg 23- Rm 1710 .
  Big Data, Full Session (50 minutes) |   Spatial and Graph, Full Session (50 minutes)