Big Data Made Easy A Working Guide to the Complete Hadoop Toolset /
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system. As Big Data Made Easy: A Working Guide to the...
Main Author: | Frampton, Michael. (Author, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Language: | English |
Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2015.
|
Edition: | 1st ed. 2015. |
Subjects: | |
Online Access: | https://doi.org/10.1007/978-1-4842-0094-0 |
Similar Items
-
Data-intensive Systems Principles and Fundamentals using Hadoop and Spark / by Tomasz Wiktorski.
by: Wiktorski, Tomasz., et al.
Published: (2019) -
Deep Learning: Convergence to Big Data Analytics by Murad Khan, Bilal Jan, Haleem Farman.
by: Khan, Murad., et al.
Published: (2019) -
Data Scientists at Work by Sebastian Gutierrez.
by: Gutierrez, Sebastian., et al.
Published: (2014) -
Big Data SMACK A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka / by Raul Estrada, Isaac Ruiz.
by: Estrada, Raul., et al.
Published: (2016) -
Big Data Analytics with Spark A Practitioner's Guide to Using Spark for Large Scale Data Analysis / by Mohammed Guller.
by: Guller, Mohammed., et al.
Published: (2015)