Big Data Management Technologies

Teaching Staff: Kanavos Andreas
Course Code: HY-385
Course Type: Elective Course
Course Level: Undergraduate
Course Language: Greek
Semester: 7th
ECTS: 4
Teaching Units: 4
Lecture Hours: 2
Lab/Tutorial Hours: 2L
Total Hours: 4
E Class Page: https://e-class.ionio.gr/courses/DCS262/

Short Description:

This course focuses on the concept of “Big data” and studies modern techniques and storage platforms for their management at Internet scale. Specifically, during this course we will study: Large-scale system architectures: Peer-to-Peer and Cloud Computing. Databases on the Internet: Relational, parallel and distributed databases, with emphasis on distributed file system technologies (HDFS), NoSQL (HBase, Cassandra), graph-databases (Neo4j), NewSQL. Execution models over large amounts of data (MapReduce, BSP) and platforms that implement them (Hadoop, Hama, Spark, etc.). Applications of the above and distributed algorithm implementation.

Suggested Bibliography:

“Εξόρυξη από Μεγάλα Σύνολα Δεδομένων”, Anand Rajaraman, Jeffrey David Ullman, ΕΚΔΟΣΕΙΣ ΝΕΩΝ ΤΕΧΝΟΛΟΓΙΩΝ ΜΟΝ. ΕΠΕ 2012, ΑΘΗΝΑ
“Η ΜΕΘΟΔΟΣ PAGERANK ΤΗΣ GOOGLE ΚΑΙ ΑΛΛΑ ΣΥΣΤΗΜΑΤΑ ΚΑΤΑΤΑΞΗΣ ΙΣΤΟΣΕΛΙΔΩΝ”, LANGVILLE AMY, MEYER CARL ΙΔΡΥΜΑ ΤΕΧΝΟΛΟΓΙΑΣ & ΕΡΕΥΝΑΣ-ΠΑΝΕΠΙΣΤΗΜΙΑΚΕΣ ΕΚΔΟΣΕΙΣ ΚΡΗΤΗΣ 2010

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