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IBM software defined infrastructure for big data analytics workloads / Dino Quintero [and six others].
- Format:
- Book
- Author/Creator:
- Quintero, Dino, author.
- De Souza Casali, Daniel, author.
- Lima, Marcelo Correia, author.
- Szabo, Istvan Gabor, author.
- Olejniczak, Maciej, author.
- Rodrigues de Mello, Tiago, author.
- Carlos dos Santos, Nilton, author.
- Series:
- IBM redbooks.
- IBM redbooks
- Language:
- English
- Subjects (All):
- Electronic digital computers--Workload--Management--Computer programs.
- Electronic digital computers.
- Business enterprises--Computer networks.
- Business enterprises.
- Electronic data processing--Distributed processing--Management.
- Electronic data processing.
- Data mining.
- Big data.
- Cloud computing.
- Physical Description:
- 1 online resource (1 volume) : illustrations.
- Edition:
- First edition.
- Place of Publication:
- Poughkeepsie, NY : IBM Corporation, International Technical Support Organization, 2015.
- System Details:
- text file
- Summary:
- This IBM® Redbooks® publication documents how IBM Platform Computing, with its IBM Platform Symphony® MapReduce framework, IBM Spectrum Scale (based Upon IBM GPFS™), IBM Platform LSF®, the Advanced Service Controller for Platform Symphony are work together as an infrastructure to manage not just Hadoop-related offerings, but many popular industry offeringsm such as Apach Spark, Storm, MongoDB, Cassandra, and so on. It describes the different ways to run Hadoop in a big data environment, and demonstrates how IBM Platform Computing solutions, such as Platform Symphony and Platform LSF with its MapReduce Accelerator, can help performance and agility to run Hadoop on distributed workload managers offered by IBM. This information is for technical professionals (consultants, technical support staff, IT architects, and IT specialists) who are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems™ to help uncover insights among client’s data so they can optimize product development and business results.
- Notes:
- Description based on online resource; title from cover (Safari, viewed July 22, 2015).
- Number from resource description page: SG24-8234-00.
- ISBN:
- 9780738440774
- 0738440779
- OCLC:
- 914345528
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