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Hive 课程

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IBM
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Social Work: Practice, Policy and Research MasterTrack CertificateUniversity of Michigan
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Master of Computer ScienceArizona State University
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AI and Machine Learning MasterTrack CertificateArizona State University
IBM
Analista de Datos de IBMIBM
Google
Google IT SupportGoogle
University of Michigan
Social Work: Practice, Policy and Research MasterTrack CertificateUniversity of Michigan
Arizona State University
Master of Computer ScienceArizona State University
University of Illinois
Master of Computer Science in Data ScienceUniversity of Illinois
Imperial College London
Global Master of Public HealthImperial College London
University of Michigan
Master of Public HealthUniversity of Michigan
Imperial College London
Master of Machine Learning and Data ScienceImperial College London
IBM
IBM AI EngineeringIBM
IBM
IBM Applied AIIBM
IBM
Ciencia de Datos de IBMIBM
CertNexus
CertNexus Certified Artificial Intelligence PractitionerCertNexus
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
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AI and Machine Learning MasterTrack CertificateArizona State University
IBM
Analista de Datos de IBMIBM
Google
Google IT SupportGoogle
University of Michigan
Social Work: Practice, Policy and Research MasterTrack CertificateUniversity of Michigan

“hive”共返回 3218 条结果

  • Modern Big Data Analysis with SQL by Cloudera
    Modern Big Data Analysis with SQL
    Cloudera
    专项课程
    评分为 4.8(满分 5 星)。861 条评论
    4.8(861)
    38k 名学生
    Beginner LevelBeginner
  • Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames by Yandex
    Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
    Yandex
    课程
    评分为 4(满分 5 星)。184 条评论
    4(184)
    25k 名学生
    Advanced LevelAdvanced
  • Python 3 Programming by University of Michigan
    Python 3 Programming
    University of Michigan
    专项课程
    评分为 4.7(满分 5 星)。14433 条评论
    4.7(14,433)
    270k 名学生
    Beginner LevelBeginner
  • Hadoop Platform and Application Framework by University of California San Diego
    Hadoop Platform and Application Framework
    University of California San Diego
    课程
    评分为 4(满分 5 星)。3202 条评论
    4(3,202)
    140k 名学生
    Mixed LevelMixed
  • Data Engineering, Big Data, and Machine Learning on GCP by Google Cloud
    Data Engineering, Big Data, and Machine Learning on GCP
    Google Cloud
    专项课程
    评分为 4.6(满分 5 星)。14357 条评论
    4.6(14,357)
    190k 名学生
    Intermediate LevelIntermediate
  • Analyzing Big Data with SQL by Cloudera
    Analyzing Big Data with SQL
    Cloudera
    课程
    评分为 4.9(满分 5 星)。319 条评论
    4.9(319)
    16k 名学生
    Beginner LevelBeginner
  • Foundations for Big Data Analysis with SQL by Cloudera
    Foundations for Big Data Analysis with SQL
    Cloudera
    课程
    评分为 4.8(满分 5 星)。697 条评论
    4.8(697)
    31k 名学生
    Beginner LevelBeginner
  • Managing Big Data in Clusters and Cloud Storage by Cloudera
    Managing Big Data in Clusters and Cloud Storage
    Cloudera
    课程
    评分为 4.7(满分 5 星)。180 条评论
    4.7(180)
    6.9k 名学生
    Beginner LevelBeginner
  • Modeling Data Warehouses using Apache Hive by Coursera Project Network
    Modeling Data Warehouses using Apache Hive
    Coursera Project Network

    新

    指导项目
    评分为 3.9(满分 5 星)。9 条评论
    3.9(9)
    Beginner LevelBeginner
  • Fake News Detection with Machine Learning by Coursera Project Network
    Fake News Detection with Machine Learning
    Coursera Project Network

    新

    指导项目
    评分为 4.6(满分 5 星)。157 条评论
    4.6(157)
    7.2k 名学生
    Beginner LevelBeginner
  • Spatial Data Science and Applications by Yonsei University
    Spatial Data Science and Applications
    Yonsei University
    课程
    评分为 4.4(满分 5 星)。362 条评论
    4.4(362)
    15k 名学生
    Intermediate LevelIntermediate
  • Big Data – Introducción al uso práctico de datos masivos by Universitat Autònoma de Barcelona
    Big Data – Introducción al uso práctico de datos masivos
    Universitat Autònoma de Barcelona
    专项课程
    评分为 4.6(满分 5 星)。2182 条评论
    4.6(2,182)
    37k 名学生
    Beginner LevelBeginner
  • Big Data: adquisición y almacenamiento de datos by Universitat Autònoma de Barcelona
    Big Data: adquisición y almacenamiento de datos
    Universitat Autònoma de Barcelona
    课程
    评分为 4.4(满分 5 星)。534 条评论
    4.4(534)
    13k 名学生
    Intermediate LevelIntermediate
  • Google Cloud Platform Big Data and Machine Learning Fundamentals 日本語版 by Google Cloud
    Google Cloud Platform Big Data and Machine Learning Fundamentals 日本語版
    Google Cloud
    课程
    评分为 4.4(满分 5 星)。118 条评论
    4.4(118)
    3.1k 名学生
    Intermediate LevelIntermediate
  • Mejores prácticas para el procesamiento de datos en Big Data by Coursera Project Network
    Mejores prácticas para el procesamiento de datos en Big Data
    Coursera Project Network

    新

    指导项目
    评分为 4.9(满分 5 星)。39 条评论
    4.9(39)
    Intermediate LevelIntermediate
  • Introduction to Data Analytics by IBM
    Introduction to Data Analytics
    IBM
    课程
    评分为 4.8(满分 5 星)。898 条评论
    4.8(898)
    31k 名学生
    Beginner LevelBeginner
  • Big Data by University of California San Diego
    Big Data
    University of California San Diego
    专项课程
    评分为 4.5(满分 5 星)。11770 条评论
    4.5(11,770)
    300k 名学生
    Beginner LevelBeginner
  • Introducción al Análisis de Datos by IBM
    Introducción al Análisis de Datos
    IBM
    课程
    Beginner LevelBeginner
  • Google Cloud Platform Big Data and Machine Learning Fundamentals en Español by Google Cloud
    Google Cloud Platform Big Data and Machine Learning Fundamentals en Español
    Google Cloud
    课程
    评分为 4.7(满分 5 星)。583 条评论
    4.7(583)
    17k 名学生
    Intermediate LevelIntermediate
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure by University of Illinois at Urbana-Champaign
    Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
    University of Illinois at Urbana-Champaign
    课程
    评分为 4.2(满分 5 星)。672 条评论
    4.2(672)
    45k 名学生
    Intermediate LevelIntermediate

Searches related to hive

big data analysis: hive, spark sql, dataframes and graphframes

modeling data warehouses using apache hive

hierarchical clustering

hiv/aids

hibernate (framework)

hiv

hierarchical clustering: customer segmentation

hibernation (computing)

1234…50Chevron Right

总之,这是我们最受欢迎的 hive 门课程中的 10 门

  • Modern Big Data Analysis with SQL: Cloudera
  • Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames: Yandex
  • Python 3 Programming: University of Michigan
  • Hadoop Platform and Application Framework: University of California San Diego
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Analyzing Big Data with SQL: Cloudera
  • Foundations for Big Data Analysis with SQL: Cloudera
  • Managing Big Data in Clusters and Cloud Storage: Cloudera
  • Modeling Data Warehouses using Apache Hive: Coursera Project Network
  • Fake News Detection with Machine Learning: Coursera Project Network

您可以在 Machine Learning 中学到的技能

Python 程序设计 (33)
Tensorflow (32)
深度学习 (30)
人工神经网络 (24)
大数据 (18)
统计分类 (17)
强化学习 (13)
代数 (10)
贝叶斯定理 (10)
线性代数 (10)
线性回归 (9)
Numpy (9)

关于 Hive 的常见问题

  • Apache Hive is a software program for data warehouse applications that seek to harness petabyte-scale datasets. It allows for the fast reading, writing, and managing of data on a big data scale, including the ability to project structure onto unstructured datasets that are already in storage. Hive has thus become an important tool to enable data scientists and data engineers to conduct typical data warehousing activities like extract/transform/load (ETL), reporting, and data analysis with today’s extraordinarily large and complex datasets.

    While Hive allows for the use of an SQL interface for queries similar to those used by traditional, centralized database management systems (DMBS), it is built to work with distributed file systems that integrate with the popular, open-source Apache Hadoop framework. Thus, it offers maximum scalability, performance, fault tolerance, and loose-coupling with input formats, and works with other programs in the Apache ecosystem like Apache Spark and MapReduce.

  • Today’s data engineers must work with increasingly unwieldy datasets, creating data infrastructure that can take structured, unstructured, and real-time big data-scale datasets and deliver them to data scientists and the software applications they build in a usable form. Thus, Hive has become indispensable for many data engineers, especially those working at leading tech companies that may pull data from diverse sources such as shopping histories, social media activity, geographic location, and more.

    Unsurprisingly, data engineers capable of working on these big data projects are in high demand - and are highly paid. According to Glassdoor, the average base salary for data engineers is $102,864 per year.

  • Absolutely! Coursera is a fantastic place to build a wide variety of computer science and data science skills, including working with Hive and the rest of the Apache Hadoop ecosystem. You can learn from top-ranked schools like University of California San Diego, industry leaders like Cloudera and Yandex, or by completing step-by-step tutorials alongside experienced instructors as part of Coursera’s Guided Projects. Regardless of how you choose to learn, Coursera lets you view course materials and complete assignments on a flexible schedule, ensuring you can pick up valuable skills in Hive and other data science topics alongside your existing studies or career.

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