Cargando…

Cleaning up the data lake with an operational data hub

Detalles Bibliográficos
Autor principal:	Ungerer, Gerhard
Lenguaje:	eng
Publicado:	O'Reilly Media 2018
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2659135

Ejemplares similares

Clean data
por: Squire, Megan
Publicado: (2015)

Data Lake for enterprises: leveraging Lambda architecture for building Enterprise Data Lake
por: John, Tomcy, et al.
Publicado: (2017)

Practical enterprise data lake insights: handle data-driven challenges in an enterprise big data lake
por: Gupta, Saurabh, et al.
Publicado: (2018)

Operationalizing the data lake: building and extracting value from data lakes with a cloud-native data platform
por: Ackerman, Holden, et al.
Publicado: (2019)

Managing the data lake: moving to big data analysis
por: Oram, Andrew
Publicado: (2015)

A data scientist's guide to acquiring, cleaning, and managing data in R
por: Buttrey, Samuel, et al.
Publicado: (2018)

Prototype of the Russian Scientific Data Lake
por: Alekseev, Aleksandr, et al.
Publicado: (2021)

Federated data storage evolution in HENP: data lakes and beyond
por: Zarochentsev, Andrey, et al.
Publicado: (2020)

The enterprise big data lake: delivering the promise of big data and data science
por: Gorelik, Alex
Publicado: (2019)

Data Lake development with Big Data: explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies
por: Pasupuleti, Pradeep, et al.
Publicado: (2015)

Data lake maturity model: charting a course for data success
por: Gidley, Scott, et al.
Publicado: (2019)

Data visualization with Python and JavaScript: scrape, clean, explore & transform your data
por: Dale, Kyran
Publicado: (2016)

A Scientific Data Lake for Open Science
por: Espinal, Xavier
Publicado: (2021)

Architecting data lakes: data management architectures for advanced business use cases
por: Sharma, Ben
Publicado: (2018)

Architecting data lakes: data management architectures for advanced business use cases
por: LaPlante, Alice, et al.
Publicado: (2016)

The security data lake: leveraging big data technologies to build a common data repository for security
por: Marty, Raffael
Publicado: (2015)

Architecture and prototype of a WLCG data lake for HL-LHC
por: Bird, Ian, et al.
Publicado: (2019)

ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data
por: Di Maria, Riccardo, et al.
Publicado: (2021)

Practical data science: a guide to building the technology stack for turning data lakes into business assets
por: Vermeulen, Andreas François
Publicado: (2018)

Mastering Azure analytics: architecting in the Cloud with Azure Data Lake, HDInsight, and Spark
por: Tejada, Zoiner
Publicado: (2017)

Data infrastructure for next-gen finance: tools for cloud migration, customer even hubs, governance & security
por: Roberts, Jane
Publicado: (2016)

Python: end-to-end data analysis : leverage the power of Python to clean, scrape, analyze, and visualize your data : a course in three modules
por: Vo T H, Phuong
Publicado: (2017)

Python social media analytics: analyze and visualize data from Twitter, YouTube, GitHub, and more
por: Chatterjee, Siddhartha, et al.
Publicado: (2017)

Web Operations: Keeping the Data On Time
por: Allspaw, John, et al.
Publicado: (2010)

GitHub for dummies
por: Haack, Phil
Publicado: (2019)

Distributed data fusion for network-centric operations
por: Hall, David L
Publicado: (2013)

Data communication components: characteristics, operation, applications
por: Held, Gilbert
Publicado: (1979)

GitHub essentials: unleash the power of collaborative development workflows using GitHub
por: Pipinellis, Achilleas
Publicado: (2018)

Exploring Patterns and Correlations in CMS Computing Operations Data with Big Data Analytics Techniques
por: Bonacorsi, Daniele, et al.
Publicado: (2015)

Indico: A Collaboration Hub
por: Ferreira, P, et al.
Publicado: (2012)

Data Transfers: Connecting Science Mesh and ESCAPE Data Lakes
por: Trompert, Ron
Publicado: (2023)

Learning concurrency in Python: speed up your Python code with clean, readable, and advanced concurrency techniques
por: Forbes, Elliot
Publicado: (2017)

Scala: guide for data science professionals : Scala will be a valuable tool to have on hand during your data science journey for everything from data cleaning to cutting-edge machine learning : a course in three modules
por: Bugnion, Pascal, et al.
Publicado: (2017)

Data-driven computational methods: parameter and operator estimations
por: Harlim, John
Publicado: (2018)

Monitoring data transfer latency in CMS computing operations
por: Bonacorsi, D, et al.
Publicado: (2015)

Data hiding: exposing concealed data in multimedia, operating systems, mobile devices, and network protocols
por: Raggo, Michael T, et al.
Publicado: (2013)

Clean agile: back to basics
por: Martin, Robert C
Publicado: (2020)

Splunk: enterprise operational intelligence delivered : demystify big data and discover how to bring operational intelligence to your data to revolutionize your work
por: Sigman, Betsy Page, et al.
Publicado: (2017)

The ESCAPE Data Lake: The machinery behind testing, monitoring and supporting a unified federated storage infrastructure of the exabyte-scale
por: Dona, Rizart, et al.
Publicado: (2021)

Version control with Git and GitHub
por: Magana, Alex, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_lvki0rtt1ijbc4abnpjkucib0n