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    • Hive

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    4730 results for "hive"

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      IBM Skills Network

      Introduction to Data Analytics

      Skills you'll gain: Data Analysis, Data Management, Data Science, Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Visualization, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Business Analysis, Data Visualization Software, Extract, Transform, Load, Leadership and Management, Microsoft Excel, Professional Development

      4.8

      (10.6k reviews)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: Big Data, Data Architecture, Apache, Data Management, Databases, NoSQL, Distributed Computing Architecture, Database Theory, Database Administration, Data Structures, Database Application, Data Model, Computer Architecture, Data Analysis, Extract, Transform, Load, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Database Design, Data Warehousing, SQL, Cloud Applications, Cloud Computing, DevOps, Kubernetes, Network Architecture, Other Programming Languages, Algorithms, Computational Thinking, Computer Networking, Computer Programming, IBM Cloud, Mathematics, Theoretical Computer Science

      4.3

      (333 reviews)

      Beginner · Specialization · 3-6 Months

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      University of California San Diego

      Big Data

      Skills you'll gain: Data Management, Big Data, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Distributed Computing Architecture, Machine Learning, Business Analysis, Statistical Programming, Data Science, Graph Theory, Mathematics, Apache, Computer Architecture, Databases, Data Analysis Software, NoSQL, Data Architecture, Machine Learning Algorithms, Business, Data Model, Data Structures, Spreadsheet Software, Data Mining, Python Programming, Data Visualization, SQL, Statistical Machine Learning, Statistical Visualization, Database Application, Information Technology, Cloud Computing, Software As A Service, Applied Machine Learning, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Database Administration, Dimensionality Reduction, Feature Engineering, General Statistics, PostgreSQL, Regression, Statistical Analysis, Algorithms, Data Warehousing, Theoretical Computer Science

      4.5

      (13.5k reviews)

      Beginner · Specialization · 3-6 Months

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      Cloudera

      Modern Big Data Analysis with SQL

      Skills you'll gain: Data Management, Databases, SQL, Big Data, Statistical Programming, Data Structures, Cloud Computing, Theoretical Computer Science, Apache, Computer Architecture, Distributed Computing Architecture, Cloud Platforms, Human Computer Interaction, Software Engineering, User Experience, Cloud Storage, Computer Programming, Programming Principles, Data Model, Database Administration, Database Design, Database Theory, Data Analysis, Data Warehousing, Database Application

      4.8

      (1.4k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Introduction to Big Data with Spark and Hadoop

      Skills you'll gain: Apache, Big Data, Data Architecture, Distributed Computing Architecture, Computer Architecture, Data Management, Cloud Applications, Cloud Computing, Data Analysis, Data Warehousing, Database Administration, Databases, DevOps, Extract, Transform, Load, Kubernetes, Network Architecture, Other Programming Languages, SQL

      4.3

      (185 reviews)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Introducción al Análisis de Datos

      Skills you'll gain: Data Analysis, Data Management, Databases, SQL, Statistical Programming, Big Data, Business Analysis, Data Mining, Data Visualization, Data Visualization Software, General Statistics, NoSQL, Probability & Statistics, Accounting, Entrepreneurship, Sales

      4.8

      (405 reviews)

      Beginner · Course · 1-3 Months

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      Cloudera

      Analyzing Big Data with SQL

      Skills you'll gain: Data Management, Databases, SQL, Statistical Programming, Big Data, Apache, Cloud Computing, Cloud Platforms, Computer Architecture, Distributed Computing Architecture, Human Computer Interaction, Software Engineering, Theoretical Computer Science, User Experience, Computer Programming, Data Analysis, Programming Principles

      4.9

      (508 reviews)

      Beginner · Course · 1-3 Months

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      Universitat Autònoma de Barcelona

      Big Data: adquisición y almacenamiento de datos

      Skills you'll gain: Big Data, Business Analysis, Data Management, Accounting, Data Analysis, Financial Analysis, Apache, Computer Architecture, Distributed Computing Architecture, Databases, SQL, Statistical Programming, Business Intelligence, Graph Theory, Mathematics, NoSQL, Software Architecture, Software Engineering, Theoretical Computer Science

      4.4

      (618 reviews)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Participatory NetLogo Simulations with HubNet

      Skills you'll gain: Storytelling

      Intermediate · Guided Project · Less Than 2 Hours

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      Cloudera

      Managing Big Data in Clusters and Cloud Storage

      Skills you'll gain: Big Data, Data Management, Databases, SQL, Statistical Programming, Cloud Computing, Cloud Storage, Data Structures, Theoretical Computer Science, Apache, Computer Architecture, Computer Programming, Data Model, Distributed Computing Architecture, Programming Principles

      4.7

      (281 reviews)

      Beginner · Course · 1-3 Months

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      Alibaba Cloud Academy

      Big Data Analysis Deep Dive

      Skills you'll gain: Big Data

      4.2

      (10 reviews)

      Intermediate · Course · 1-3 Months

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      University of Illinois at Urbana-Champaign

      Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

      Skills you'll gain: Cloud Computing, Information Technology, Cloud Infrastructure, Back-End Web Development, Big Data, Cloud Engineering, Cloud Storage, Computer Science, Data Management, Data Science, Web Development, Google Cloud Platform, Software As A Service

      4.3

      (810 reviews)

      Intermediate · Course · 1-3 Months

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    In summary, here are 10 of our most popular hive courses

    • Introduction to Data Analytics: IBM Skills Network
    • NoSQL, Big Data, and Spark Foundations: IBM Skills Network
    • Big Data: University of California San Diego
    • Modern Big Data Analysis with SQL: Cloudera
    • Introduction to Big Data with Spark and Hadoop: IBM Skills Network
    • Introducción al Análisis de Datos: IBM Skills Network
    • Analyzing Big Data with SQL: Cloudera
    • Big Data: adquisición y almacenamiento de datos: Universitat Autònoma de Barcelona
    • Participatory NetLogo Simulations with HubNet: Coursera Project Network
    • Managing Big Data in Clusters and Cloud Storage: Cloudera

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Hive

    • 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.‎

    • The skills or experience you need to already have, before starting to learn Hive may include a good knowledge of the programming language SQL as well as Apache Hadoop, which is an open-source framework that is used in Hive to store and process large datasets. Having a good grasp of data warehousing software, in general, would also help you to learn what it takes to work with Hive. These would be beneficial to you for learning how to read, write, or manage large sets of data files that are the basis of Apache Hive.‎

    • The background of the people best suited for work that involves Hive would include computer literacy, strong data warehousing skills, an understanding of big data and machine learning, and knowledge of optimizing and debugging applications. Hive workers are skilled to work with large graphs, SQL queries, data analyzation, and optimization. These focused data scientists are often at the leading edge of data storage applications, and working with big data analyses. This is why they can command six-figure and higher salaries in the right circumstances.‎

    • Topics related to Hive that you can study would include data warehousing, data infrastructure, SQL programming, database management systems, and understanding applications written in C++, Java, PHP, Python, or Ruby. You may also want to dig into understanding Spark, which is a fast and general engine for large-scale data processing. Spark is used in conjunction with Hive as a distributed processing system used for big data workloads.‎

    • To know if learning Hive is right for you, you should be excited about working with big data, with a strong focus on numbers, data, and how to delineate data patterns. You might also have a passion for writing code. When learning Hive, this would help you to write Hive Query Language (HiveQL) statements that would be used for data query and analysis. If you’re interested in data sciences and data warehousing in large organizations, it would be beneficial for you to learn Hive.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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