Gestion et exploration des grandes masses de données
22 janv. 2015 Colloque Mastodons CNRS
HaoLap: a Hadoop based OLAP system for big data
21 mai 2015 HaoLap and compares that with Hive HadoopDB
HadoopDB in Action: Building Real World Applications
HadoopDB is a hybrid of MapReduce and DBMS technolo- gies designed to meet the growing demand of tends Hive [9] to provide a SQL interface to HadoopDB.
CNRS
23 janv. 2014 Hive vs HadoopDB. – Hive > HadoopDB. ? Sélection avec index. ? Group by sur requêtes non sélectives (Hadoop ne profite pas des.
HadoopDB: An Architectural Hybrid of MapReduce and DBMS
Hence we use PostgreSQL as the database layer and Hadoop as the communication layer
HadoopDB: An Architectural Hybrid of MapReduce and DBMS
HadoopDB provides a parallel database front-end to data analysts enabling them to process SQL queries. The SMS planner extends Hive [11].
Efficient Processing of Data Warehousing Queries in a Split
16 juin 2011 featuring a SQL interface (Hive). We show that HadoopDB successfully competes with other systems. Categories and Subject Descriptors.
Integration of Large-Scale Data Processing Systems and Traditional
Across a variety of data process- ing tasks HadoopDB outperformed simple SQL-into-. MapReduce translation layers (such as Hive)
Integration of Large-Scale Data Processing Systems and Traditional
Across a variety of data process- ing tasks HadoopDB outperformed simple SQL-into-. MapReduce translation layers (such as Hive)
HaoLap : A Hadoop based OLAP system for big data
multidimensional data model. Some practical data warehouses based on Hadoop have emerged such as Hive HadoopDB and HBase. Hive
When to use Hadoop HBase Hive and Pig? - Stack Overflow
Best price/performance ? data partitioned across 100-1000s of cheap commodity shared-nothing machines Clouds of processing nodes on demand pay for what you use Major Trends Data explosion: Automation of business processes proliferation of digital devices eBay has a 6 5 petabyte warehouse 2
HadoopDB: An Architectural Hybrid of MapReduce and DBMS - UMD
[22] the SCOPE project at Microsoft [6] and the open source Hive project [11] aim to integrate declarative query constructs from the database community into MapReduce-like software to allow greater data independence code reusability and automatic query optimiza-tion Greenplum and Aster Data have added the ability to write
le d-ib td-hu va-top mxw-100p>Hive Runs on AWS EMR - Industry-Leading Data Platform
2 1 Hive and Hadoop Hive [4] is an open-source data warehousing infrastructure built on top of Hadoop [2] Hive accepts queries expressed in a SQL-like language called HiveQL and executes them against data stored in the Hadoop Distributed File System (HDFS) A big limitation of the current implementation of Hive is its data storage layer
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