Dissertation/ Thesis

Cost-effective batch-based migration strategies for NewSQL-based big data systems

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Cost-effective batch-based migration strategies for NewSQL-based big data systems
Συγγραφείς: Vadlamudi, Naveen Kumar, University of Lethbridge. Faculty of Arts and Science
Συνεισφορές: Osborn, Wendy
Στοιχεία εκδότη: University of Lethbridge, Dept. of Mathematics and Computer Science
Department of Mathematics and Computer Science
Arts and Science
Έτος έκδοσης: 2024
Συλλογή: University of Lethbridge Institutional Repository
Θεματικοί όροι: batch-based migration algorithms, cloud computing, NewSQL systems, data migration, data pipelines, documentation, Dissertations, Academic, SQL (Computer program language), Big data, Algorithms, Electronic data processing--Batch processing--Documentation, Data mining
Περιγραφή: Modern, high-performance applications demand scalable and efficient databases, leading to the evolution of NewSQL systems. The challenge lies in migrating data from Shardingsphere with PostgreSQL to AWS (AmazonWeb Services) cloud object storage. Implementing batch migration algorithms in Apache Spark, specifically targeting Delta Lake format, introduces complexities to ensure seamless data integration and storage within AWS environments. This thesis explores tailored batch-based migration algorithms for transferring data from Shardingsphere with PostgreSQL to AWS cloud object storage, emphasizing performance optimization by transferring the data faster. The study evaluates various batch loading techniques in Apache Spark, including sequential and concurrent strategies for shard-by-shard and aggregated-shards based algorithms. These techniques aim to maximize efficiency in storing data in Delta Lake format within AWS cloud storage, facilitating effective data management, visualization, and utilization for modern applications, business intelligence, AI and ML. Leveraging the Lakehouse architecture for integrated data processing and analytics.
Τύπος εγγράφου: thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: Thesis (University of Lethbridge. Faculty of Arts and Science); https://hdl.handle.net/10133/6939
Διαθεσιμότητα: https://hdl.handle.net/10133/6939
Αριθμός Καταχώρησης: edsbas.EE476C9B
Βάση Δεδομένων: BASE
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