Skip to Content
Architecting modern data platforms: a guide to enterprise Hadoop at scale

Architecting modern data platforms: a guide to enterprise Hadoop at scale

Kunigk, Jan

Paperback, Book. English.
Revised edition.
Published Beijing : O'Reilly 2019
Rate this

Available at all branches.

This item is not reservable because:

  • There are no reservable copies for this title. Please contact a member of library staff for further information.
  • National College Library – 14 available in Main Lending 005.74 and Desk Reserve 005.74

    Barcode Shelfmark Loan type Status
    39006010685941 Main Lending 005.74 Main Lending Available
    39006010687434 Main Lending 005.74 Main Lending Available
    39006010687442 Main Lending 005.74 Main Lending Available
    39006010687467 Main Lending 005.74 Main Lending Available
    39006010687418 Desk Reserve 005.74 Desk Reserve Available
    39006010687475 Main Lending 005.74 Main Lending Available
    39006010685321 Main Lending 005.74 Main Lending Available
    39006010685933 Main Lending 005.74 Main Lending Available
    39006010685909 Main Lending 005.74 Main Lending Available
    39006010685891 Main Lending 005.74 Main Lending Available
    39006010687426 Main Lending 005.74 Main Lending Available
    39006010685917 Main Lending 005.74 Main Lending Available
    39006010685925 Main Lending 005.74 Main Lending Available
    39006010685339 Main Lending 005.74 Main Lending Available
    39006010687459 Main Lending 005.74 Main Lending Due back 27th February

Details

Statement of responsibility: Jan Kunigk ... [et al.]
ISBN: 149196927X, 9781491969274
Note: Includes index.
Note: Formerly CIP.
Physical Description: xxvi, 605 pages : illustrations (black and white) ; 24 cm
Subject: Electronic data processing Distributed processing.; Apache Hadoop.; File organization (Computer science)

Contents

  1. Big data technology primer
  2. Part I: Infrastructure
  3. Clusters
  4. Compute and storage
  5. Networking
  6. Organizational challenges
  7. Datacenter considerations
  8. Part II: Platform
  9. Provisioning clusters
  10. Platform validation
  11. Security
  12. Integration with identity management providers
  13. Accessing and interacting with clusters
  14. High availability
  15. Backup and disaster recovery
  16. Part III: Taking Hadoop to the Cloud
  17. Basics of virtualization for Hadoop
  18. Solutions for private clouds
  19. Solutions in the public cloud
  20. Automated provisioning
  21. Security in the cloud.