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Books > Computing & IT > Computer communications & networking > Network security
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Big Data Processing Using Spark in Cloud (Paperback, Softcover reprint of the original 1st ed. 2019)
Loot Price: R2,653
Discovery Miles 26 530
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Big Data Processing Using Spark in Cloud (Paperback, Softcover reprint of the original 1st ed. 2019)
Series: Studies in Big Data, 43
Expected to ship within 18 - 22 working days
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The book describes the emergence of big data technologies and the
role of Spark in the entire big data stack. It compares Spark and
Hadoop and identifies the shortcomings of Hadoop that have been
overcome by Spark. The book mainly focuses on the in-depth
architecture of Spark and our understanding of Spark RDDs and how
RDD complements big data's immutable nature, and solves it with
lazy evaluation, cacheable and type inference. It also addresses
advanced topics in Spark, starting with the basics of Scala and the
core Spark framework, and exploring Spark data frames, machine
learning using Mllib, graph analytics using Graph X and real-time
processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It
then goes on to investigate Spark using PySpark and R. Focusing on
the current big data stack, the book examines the interaction with
current big data tools, with Spark being the core processing layer
for all types of data. The book is intended for data engineers and
scientists working on massive datasets and big data technologies in
the cloud. In addition to industry professionals, it is helpful for
aspiring data processing professionals and students working in big
data processing and cloud computing environments.
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