Video : ER/Studio Data Architect

Model Data for Hadoop Hive

Hadoop Hive is a data warehouse system built on top of Apache Hadoop. Its design enables it to store and process large datasets efficiently. Hadoop Hive enables data summarization, querying, and analysis of data. You can write queries in HiveQL, which is a query language similar to SQL. Hive allows you to project structure on largely unstructured data.

Data modeling is an essential aspect of Hadoop Hive because it structures data into well-understood database concepts, such as tables, rows, columns, and partitions. That facilitates easy data summarization, ad hoc queries, and large dataset analysis stored in Hadoop-compatible file systems. HiveQL, a query language similar to SQL, is used to query and analyze large datasets stored in the Hadoop distributed file system. Hive converts its queries into MapReduce tasks, which access the Hadoop MapReduce system.

Watch this video to discover how ER/Studio Data Architect helps you model data for Hadoop Hive.

Topics : Data Modeling,

Products : ER/Studio Data Architect,ER/Studio Enterprise Team Edition,

ER/Studio Data Architect provides unique capabilities including universal mappings, business data objects, and agile change management that help data professionals to map, describe, and audit their data models. With an extensive feature set, ER/Studio Data Architect offers superior data modeling for single- and multi-platform environments.

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