Big Data Processing Using Spark in Cloud

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mittal, Mamta (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Balas, Valentina E. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Goyal, Lalit Mohan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kumar, Raghvendra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Big Data, 43
• Θέματα: Big data.; Computer security.; Big Data.; Systems and Data Security.; Big Data/Analytics.

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 o...

Πίνακας περιεχομένων:

• Concepts of Big Data and Apache Spark
• Big Data Analysis in Cloud and Machine Learning
• Security Issues and Challenges related to Big Data
• Big Data Security Solutions in Cloud
• Data Science and Analytics
• Big Data Technologies
• Data Analysis with Casandra and Spark
• Spin up the Spark Cluster
• Learn Scala
• IO for Spark
• Processing with Spark
• Spark Data Frames and Spark SQL
• Machine Learning and Advanced Analytics
• Parallel Programming with Spark
• Distributed Graph Processing with Spark
• Real Time Processing with Spark
• Spark in Real World
• Case Studies. .