07-28-2023, 11:40 PM
Apache Hive for Data Engineers (Hands On) with 2 Projects
Learn everything about Apache Hive a modern, data warehouse.
Rating: 3.5 out of 5
(21 ratings)
7,036 students
6.5 hours on-demand video
8 articles
7 downloadable resources
Description
The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command-line tool and JDBC driver are provided to connect users to Hive.
One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Hive! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Apache Hive!
Built on top of Apache Hadoop, Hive provides the following features:
Tools to enable easy access to data via SQL, thus enabling data warehousing tasks such as extract/transform/load (ETL), reporting, and data analysis.
A mechanism to impose structure on a variety of data formats
Access to files stored either directly in Apache HDFS™ or in other data storage systems such as Apache HBase™
Query execution via Apache Tez™, Apache Spark™, or MapReduce
Procedural language with HPL-SQL
Sub-second query retrieval via Hive LLAP, Apache YARN and Apache Slider.
Hive provides standard SQL functionality, including many of the later SQL:2003, SQL:2011, and SQL:2016 features for analytics.
Hive's SQL can also be extended with user code via user defined functions (UDFs), user defined aggregates (UDAFs), and user defined table functions (UDTFs).
https://www.udemy.com/course/apache-hive-for-data-engineers-hands-on/?couponCode=8B9A8946C43D5EABAD93
Enjoy!
Learn everything about Apache Hive a modern, data warehouse.
Rating: 3.5 out of 5
(21 ratings)
7,036 students
6.5 hours on-demand video
8 articles
7 downloadable resources
Description
The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command-line tool and JDBC driver are provided to connect users to Hive.
One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Hive! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Apache Hive!
Built on top of Apache Hadoop, Hive provides the following features:
Tools to enable easy access to data via SQL, thus enabling data warehousing tasks such as extract/transform/load (ETL), reporting, and data analysis.
A mechanism to impose structure on a variety of data formats
Access to files stored either directly in Apache HDFS™ or in other data storage systems such as Apache HBase™
Query execution via Apache Tez™, Apache Spark™, or MapReduce
Procedural language with HPL-SQL
Sub-second query retrieval via Hive LLAP, Apache YARN and Apache Slider.
Hive provides standard SQL functionality, including many of the later SQL:2003, SQL:2011, and SQL:2016 features for analytics.
Hive's SQL can also be extended with user code via user defined functions (UDFs), user defined aggregates (UDAFs), and user defined table functions (UDTFs).
https://www.udemy.com/course/apache-hive-for-data-engineers-hands-on/?couponCode=8B9A8946C43D5EABAD93
Enjoy!