Books > Computing & IT > Applications of computing > Databases
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Disk-Based Algorithms for Big Data (Hardcover)
Loot Price: R1,946
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Disk-Based Algorithms for Big Data (Hardcover)
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Disk-Based Algorithms for Big Data is a product of recent advances
in the areas of big data, data analytics, and the underlying file
systems and data management algorithms used to support the storage
and analysis of massive data collections. The book discusses hard
disks and their impact on data management, since Hard Disk Drives
continue to be common in large data clusters. It also explores ways
to store and retrieve data though primary and secondary indices.
This includes a review of different in-memory sorting and searching
algorithms that build a foundation for more sophisticated on-disk
approaches like mergesort, B-trees, and extendible hashing.
Following this introduction, the book transitions to more recent
topics, including advanced storage technologies like solid-state
drives and holographic storage; peer-to-peer (P2P) communication;
large file systems and query languages like Hadoop/HDFS, Hive,
Cassandra, and Presto; and NoSQL databases like Neo4j for graph
structures and MongoDB for unstructured document data. Designed for
senior undergraduate and graduate students, as well as
professionals, this book is useful for anyone interested in
understanding the foundations and advances in big data storage and
management, and big data analytics. About the Author Dr.
Christopher G. Healey is a tenured Professor in the Department of
Computer Science and the Goodnight Distinguished Professor of
Analytics in the Institute for Advanced Analytics, both at North
Carolina State University in Raleigh, North Carolina. He has
published over 50 articles in major journals and conferences in the
areas of visualization, visual and data analytics, computer
graphics, and artificial intelligence. He is a recipient of the
National Science Foundation's CAREER Early Faculty Development
Award and the North Carolina State University Outstanding
Instructor Award. He is a Senior Member of the Association for
Computing Machinery (ACM) and the Institute of Electrical and
Electronics Engineers (IEEE), and an Associate Editor of ACM
Transaction on Applied Perception, the leading worldwide journal on
the application of human perception to issues in computer science.
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