Apache Hive

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Coursera's Apache Hive catalogue teaches you to manage large datasets residing in distributed storage using SQL structure. You'll learn how to interact with Hive via HiveQL, implementing data summarization, query, and analysis. In addition, you'll gain familiarity with principles of data warehousing, ETL processes, and data storage in Hive, while mastering concepts like partitioning and bucketing of data. By the end of your learning journey, you'll be equipped to handle big data operations and develop efficient data processing strategies using Apache Hive.
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Results for "apache hive"

  • Status: Free Trial

    Illinois Tech

    Skills you'll gain: NoSQL, Big Data, Apache Hadoop, Apache Spark, Data Infrastructure, Real Time Data, Apache Kafka, Data Management, Apache Cassandra, Apache Hive, Data Lakes, Data Storage Technologies, MongoDB, Databases, Data Architecture, Database Management Systems, Distributed Computing, Data Processing, Informatics, Cloud Computing

  • Skills you'll gain: Databricks, Real Time Data, PySpark, Apache Hive, Apache Spark, Big Data, Data Processing, SQL, Data Manipulation, Pandas (Python Package)

  • Status: New
    Status: Preview

    O.P. Jindal Global University

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Hive, Databases, Analytics, Data Storage Technologies, Data Mining, NoSQL, Applied Machine Learning, Real Time Data, Distributed Computing, SQL, Data Processing, Query Languages, Scripting Languages

  • Status: Free Trial

    Skills you'll gain: Data Visualization Software, Big Data, Apache Hadoop, Apache Spark, Apache Hive, Distributed Computing, Data Processing, Data Warehousing, Data Analysis, Data Integration, Cloud Security, Artificial Intelligence and Machine Learning (AI/ML), SQL

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: NoSQL, Apache Hadoop, Apache Hive, Big Data, Database Systems, Artificial Intelligence, Distributed Computing, Data Processing, Scalability, Business Intelligence, Data Management

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