Apache Hive Reviews and details

Social recommendations and mentions

• Apache Iceberg as storage for on-premise data store (cluster)

  Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie. Source: about 1 year ago

• In One Minute : Hadoop

  Hive, A data warehouse infrastructure that provides data summarization and ad hoc querying. - Source: dev.to / over 1 year ago

• Apache Spark, Hive, and Spring Boot — Testing Guide

  In this article, I'm showing you how to create a Spring Boot app that loads data from Apache Hive via Apache Spark to the Aerospike Database. More than that, I'm giving you a recipe for writing integration tests for such scenarios that can be run either locally or during the CI pipeline execution. The code examples are taken from this repository. - Source: dev.to / about 2 years ago

• Jinja2 not formatting my text correctly. Any advice?

  ListItem(name='Apache Hive', website='https://hive.apache.org/', category='Interactive Query', short_description='Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.'),. Source: over 2 years ago

• Understanding SQL Dialects

  Apache Hive takes in a specific SQL dialect and converts it to map-reduce. - Source: dev.to / over 2 years ago

• Open Source SQL Parsers

  Apache Calcite is a popular parser/optimizer that is used in popular databases and query engines Like Apache Hive, BlazingSQL and many others. - Source: dev.to / over 2 years ago

• 5 Best Big Data Frameworks You Can Learn in 2021

  Both Fortune 500 and small companies are looking for competent people who can derive useful insight from their huge pile of data and that's where Big Data Framework like Apache Hadoop, Apache Spark, Flink, Storm, and Hive can help. - Source: dev.to / about 3 years ago

• how to get into data eng pt.2

  How to flesh this idea out more? Start ingesting different types of events and putting them in different tables. Definitely try an OLAP solution (Hive? Most of my experience sits with closed source projects that only a company can afford) and think about column optimised file formats. Get the raw data into an OLAP solution and do aggregations into another systems based off of the OLAP solution. Source: almost 3 years ago