Pivotal Greenplum Database is a massively parallel processing (MPP) database server with an architecture specially designed to manage large-scale analytic data warehouses and business intelligence workloads. MPP (also known as a shared nothing architecture) refers to systems with two or more processors that cooperate to carry out an operation, each processor with its own memory, operating system and disks. Greenplum uses this high-performance system architecture to distribute the load of multi-terabyte data warehouses, and can use all of a system's resources in parallel to process a query. Greenplum Database is based on PostgreSQL open-source technology. It is essentially several PostgreSQL database instances acting together as one cohesive database management system (DBMS). It is based on PostgreSQL 8.2.15, and in most cases is very similar to PostgreSQL with regard to SQL support, features, configuration options, and end-user functionality. Database users interact with ...
To have a better understanding about IPMI Explanation: The Intelligent Platform Management Interface (IPMI) is a standardized computer system interface used by System Administrators for out-of-band management of computer systems and monitoring of their operation. Out-of-band is also referred to the LOM (Lights-Out Management) involves the use of a dedicated management channel for device maintenance. A numbers of options are available to manage the device remotely. There are vendor-specific server management technologies available. HP’s Integrated Lights-out or iLO, Dell’s Dell Remote Access Controller or DRAC and IBM’s Remote Supervisor Adapter (RSA) are a few to list. The above listed modules are vendor specific and proprietary. IPMI whereas is vendor-neutral and cross-platform. It is available on Linux distros. The functionality of IPMI can be accessed via IPMItool. IPMItool is a command prompt, which is used to manage IPMI-enabled devices. IPMItool helps in managing the ...
The Segments In Greenplum Database, the segments are where data is stored and where most query processing occurs. User-defined tables and their indexes are distributed across the available segments in the Greenplum Database system; each segment contains a distinct portion of the data. Segment instances are the database server processes that serve segments. Users do not interact directly with the segments in a Greenplum Database system, but do so through the master. In the reference Greenplum Database hardware configurations, the number of segment instances per segment host is determined by the number of effective CPUs or CPU core. For example, if your segment hosts have two dual-core processors, you may have two or four primary segments per host. If your segment hosts have three quad-core processors, you may have three, six or twelve segments per host. Performance testing will help decide the best number of segments for a chosen hardware platform. Segment Redundancy When ...
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