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Time Series Databases - New Ways to Store and Acces Data - Brossura

Dunning, Ted; Friedman, Ellen

 
9781491914724: Time Series Databases - New Ways to Store and Acces Data
Brossura
ISBN 10: 1491914726 ISBN 13: 9781491914724
Casa editrice: O'Reilly Media, Inc, USA, 2015

Sinossi

Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You'll explore the theory behind time series databases and learn practical methods for implementing them. Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion.

You'll learn:

  • A variety of time series use cases
  • The advantages of NoSQL databases for large-scale time series data
  • NoSQL table design for high-performance time series databases
  • The benefits and limitations of OpenTSDB
  • How to access data in OpenTSDB using R, Go, and Ruby
  • How time series databases contribute to practical machine learning projects
  • How to handle the added complexity of geo-temporal data

For advice on analyzing time series data, check out Practical Machine Learning: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sugli autori

Ted Dunning is Chief Applications Architect at MapR Technologies and active in the open source community, being committer and PMC member of the Apache Mahout, Apache ZooKeeper, and Apache Drill projects and serves as a mentor for these Apache projects: Storm, Flink, Optiq, Datafu and Drill. He has contributed to Mahout clustering, classification, matrix decomposition algorithms and new Mahout Math library, and recently designed the t-digest algorithm used in several open source projects. He also architected the modifications for Open TSDB described in this book.

Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems, built fraud-detection systems for ID Analytics (LifeLock), and has issued 24 patents to date. Ted has a PhD in computing science from University of Sheffield. When he's not doing data science, he plays guitar and mandolin. Ted is on Twitter at @ted_dunning.

Ellen Friedman is a solutions consultant and well known speaker and author, currently writing mainly about big data topics. She is a committer for the Apache Mahout project and a contributor to the Apache Drill project. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics including molecular biology, nontraditional inheritance, and oceanography. Ellen is also co-author of a book of magic-themed cartoons, A Rabbit Under the Hat. Ellen is on Twitter at @Ellen_Friedman.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
O'Reilly Media, Inc, USA
Data di pubblicazione
2015
Lingua
Inglese
ISBN 10 
1491914726
ISBN 13 
9781491914724
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
60
Contatto del produttore
O'Reilly
https://oreilly.com

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