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Greenplum is described to be a big data technology that is based on the architecture of the MPP as well as the Postgres which is an open-source database technology. The technology was created initially by a company of the same name and its headquarters was in San Mateo California in the Year 2005. The Greenplum was able to be acquired by the corporation of the EMC in the year 2010. The company was founded in September 2003 and it was a merger of the two small companies of the Metapa as well as the Federal. The Greenplum database is massively parallel processing along with an architecture that is specially designed to manage large-scale analytic data as well as Warehouse and the workload of business intelligence. The Greenplum is good to be an Open Source Hardware agnostic database for the process of analysis it is developed by Pivotal who later was able to acquire the VMware. The architectural V was specially designed in order to manage Beethoven houses as well as workloads of the BI and it permitted the user and the developer the ability to spread the user data across a multitude of the servers. It was able to introduce a lot of features that were unavailable within the PostgreSQL just like the parallel loading of the data, resource management, enhancement of the storage as well as query optimization which was advanced, and finally being able to make it an attractive offering whenever the user is comparing the two. Similarly, it could leverage one master server or even a host which is known to be the entry-level and entry point of the database and can accept connections as well as queries of the SQL. It does the ability to use the stickman horse which is responsible for storing and processing the data and the segments are independent and each has a store and can store a portion of the data via a handle and the processing of the majority of the query. It permits the user to leverage as few as two segments host and to scale to an unlimited capacity. The Greenplum has a data pipeline that is uniquely designed and it can be efficiently streamed is from the disc to the CPU of the user without having to rely on the data fitting into the memory RAM. It has a high performance which element the challenges of most of the RDBMS scaling to the level of the data as it can scale efficiently as well as process the data.
BI & Data Visualization
The fastest and easiest way is provided by the drivers to the users and developers to connect to the real-time data of Greenplum with the business intelligence, reporting as well as data visualization, and even Analytics. They are capable of providing a query that is unmatched and has a performance as well as comprehensive access to the data as well as metadata of the Greenplum and also to integrate with the user’s favorite tools of Analytics seamlessly. The connectors are capable of extending the favorite application of the user along with access which is live to the data sources through the established standards such as the JDBC and last but not least the ODBMC. It should be noted that there are also capable of delivering very comprehensive access to the source of the data and deliver depth as well as performance.
ETL & Replication
Starting from the adaptors as well as the driver they are capable of extending the users favorite tools of the ETL with the connectivity to the tools for the process of replication and hence the Greenplum the integration can provide a robust as well as reliable and at the same time a data movement which is secured to the users and developers. It can connect to the user RDBMS or even the data warehouse to facilitate the process or operational reporting as well as offloading the queries to increase the performance.
It supports the popular database protocols as well as the via protocol interfaces for the services of SQL as well as MySQL and it is very easy to connect as well as manage the data of the Greenplum from a huge range of database management as well as applications.
It is known to be integrating with the information of the virtualization technology.