Statements (62)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
|
| gptkbp:competitor |
traditional RDBMS
NoSQL-on-Hadoop |
| gptkbp:enables |
business intelligence
data warehousing ad hoc querying ETL operations SQL queries on Hadoop data |
| gptkbp:example |
gptkb:Apache_Hive
gptkb:Presto gptkb:Apache_Drill gptkb:Spark_SQL gptkb:Apache_Phoenix Cloudera Impala Google BigQuery (inspired by SQL-on-Hadoop) IBM Big SQL |
| gptkbp:feature |
gptkb:security
batch processing user authentication scalability fault tolerance role-based access control metadata management parallel execution integration with BI tools data federation interactive querying support for large datasets cost-based optimization distributed query processing support for multiple data formats open source and commercial options schema-on-read support for ANSI SQL |
| gptkbp:field |
big data
distributed computing data analytics |
| gptkbp:goal |
bridge gap between Hadoop and relational databases
make Hadoop accessible to SQL users |
| https://www.w3.org/2000/01/rdf-schema#label |
SQL-on-Hadoop
|
| gptkbp:integratesWith |
gptkb:Impala
gptkb:Phoenix gptkb:Apache_Hadoop gptkb:Presto gptkb:HBase gptkb:Hive gptkb:HDFS gptkb:Spark_SQL Drill Big SQL |
| gptkbp:notableDriver |
adoption of Hadoop in enterprises
demand for self-service analytics need for SQL access to big data |
| gptkbp:originatedIn |
2010s
|
| gptkbp:supports |
structured data analysis
|
| gptkbp:usedBy |
data analysts
business analysts data scientists data engineers |
| gptkbp:bfsParent |
gptkb:Apache_Tajo
gptkb:Apache_Drill |
| gptkbp:bfsLayer |
7
|