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Pentaho Big Data Analytics (已停止與廠商的商業(yè)合作) (產(chǎn)品編號：13342)

全面的、統(tǒng)一的大數(shù)據(jù)分析解決方案，支持完整的數(shù)據(jù)生命周期

標簽：大數(shù)據(jù)BI 數(shù)據(jù)分析 Pentaho

開發(fā)商： Pentaho

當前版本：

產(chǎn)品類型：控件

產(chǎn)品功能：大數(shù)據(jù)分析工具

平臺語言：

開源水平：不提供源碼

本產(chǎn)品的分類與介紹僅供參考，具體以商家網(wǎng)站介紹為準，如有疑問請來電 023-68661681 咨詢。

Pentaho Big Data Analytics實現(xiàn)了通過單一平臺提供可視化工具，能提取及合成數(shù)據(jù)，并且實現(xiàn)可視化和分析的功能，并改變你經(jīng)營業(yè)務的方式。無論是什么數(shù)據(jù)源，什么樣的分析要求或者部署環(huán)境，Pentaho都能允許你對大數(shù)據(jù)進行深層次的分析。

* 關于本產(chǎn)品的分類與介紹僅供參考，精準產(chǎn)品資料以官網(wǎng)介紹為準，如需購買請先行測試。

完整的大數(shù)據(jù)平臺

緊密的耦合數(shù)據(jù)集成與商業(yè)分析平臺加速了大數(shù)據(jù)的價值實現(xiàn)。

完整的大數(shù)據(jù)分析平臺

全方位的分析方案：數(shù)據(jù)訪問權限及數(shù)據(jù)可視化與預測分析方案的集成。
通過Pentaho自適應的大數(shù)據(jù)層支持最廣泛的數(shù)據(jù)源，充分利用每個數(shù)據(jù)源的獨特的優(yōu)勢。
允許用戶生成混合的大數(shù)據(jù)，并將它們用于更全面，更精確的分析方案。
基于開放標準的構架，支持擴展和與現(xiàn)有設施集成。

交互式的分析方案、報表、可視化功能和面板

Pentaho 允許商業(yè)用戶和分析師在不依賴IT和開發(fā)人員的情況下，通過多個維度輕松的實現(xiàn)數(shù)據(jù)的可視化，分析和反饋。

強大的大數(shù)據(jù)分析方案和反饋功能

交互式可視化分析有數(shù)據(jù)鉆取、lasso濾波、縮放和易于審查的屬性高亮顯示。
實時可用的交互式可視化功能庫。
為大數(shù)據(jù)量的快速思維分析提供了極大規(guī)模的的內存數(shù)據(jù)緩存。
自主交互式反饋到高容量，高度特化的企業(yè)報表。
支持任何數(shù)據(jù)，包括混合了企業(yè)數(shù)據(jù)的顯示面板。

高容量數(shù)據(jù)處理

提升大數(shù)據(jù)開發(fā)速度，在集群上獲取更好的性能。

高效的數(shù)據(jù)處理

支持本地連接到領先的Hadoop，NoSQL和analytic數(shù)據(jù)庫。
可視化的MapReduce任務設計器縮短了開發(fā)周期。
支持對非結構化數(shù)據(jù)進行編制，建模和搜索。
強大的多線程數(shù)據(jù)集成引擎，加速作業(yè)執(zhí)行。
支持集群，實現(xiàn)跨結點的分布式處理。
獨特的Hadoop內部執(zhí)行過程，實現(xiàn)極高效的性能。

自適應大數(shù)據(jù)層

提高了對流行數(shù)據(jù)商店的最新版本和功能的訪問權限和集成能力。

自適應大數(shù)據(jù)層用于投資保護

一旦有了數(shù)據(jù)的訪問權限，之后在任何地方都可以處理，合并和使用它。
支持從Cloudera、Hortonworks、MapR到Intel等最新的Hadoop分布。
包含針對Cassandra、MongoDB等NoSQL數(shù)據(jù)庫的簡單插件。
支持連接到Amazon Redshift和Splunk等專業(yè)的數(shù)據(jù)商店。
高度的靈活性，降低了大數(shù)據(jù)體系變化所帶來的風險和孤立點。

Pentaho Instaview：從大數(shù)據(jù)發(fā)掘想法只需3步

Pentaho Instaview只需簡單的3步就可以帶領用戶從數(shù)據(jù)走向分析方案，縮短訪問和搜索大容量、多樣化數(shù)據(jù)的時間。

Instaview用于從混合大數(shù)據(jù)集中發(fā)掘想法

針對包括Hadoop，Cassandra，HBase，MongoDB等先進的大數(shù)據(jù)源提供自助式分析方案。
提高了大數(shù)據(jù)的訪問權限，去除了分離大數(shù)據(jù)可視化工具這一要求。
允許IT輸入和管理終端用戶的大數(shù)據(jù)的訪問權限，快速部署大數(shù)據(jù)分析方案。

強大的數(shù)據(jù)挖掘和預測分析方案

精密的分析模型使得組織機構可以通過歷史績效規(guī)劃未來成果。

數(shù)據(jù)挖掘等等

功能強大的算法，包括分類，回歸，聚類和關聯(lián)性分析。
使用預測模型標記語言(PMML)導入第三方模型。
使用Pentaho庫對模型進行存儲和版本控制。
使用Pentaho數(shù)據(jù)集成對Hadoop 集群內外的模型優(yōu)化。
算法并入了Pentaho的可視化界面。

Pentaho Big Data Analytics

Comprehensive Big Data Platform

A tightly coupled data integration and business analytics platform accelerates the realization of value from big data.

Pentaho Big Data Analytics - Complete Big Data Analytics Platform

Complete Big Data Analytics Platform

Full array of analytics: data access and integration to data visualization and predictive analytics.
Supports the broadest spectrum of big data sources with Pentaho adaptive big data layer, which takes advantage of the specific and unique capabilities of each source.
Empowers users to architect big data blends at the source and stream them directly for more complete and accurate analytics.
Open, standards based architecture, easy to integrate with or extend existing infrastructure.

Interactive Analysis, Reporting, Visualizations and Dashboards

Pentaho empowers business users and analysts to easily visualize, analyze, and report on data across multiple dimensions without depending on IT or developers.

Pentaho Big Data Analytics - Powerful Big Data Analytics and Reporting

Powerful Big Data Analytics and Reporting

Interactive analysis, drill through, lasso filtering, zooming, and attribute highlighting for greater insight.
Out-of-the box library of interactive visualizations.
Extreme scale in-memory data caching for speed-of-thought analysis of large data volumes.
Self-service interactive reporting to high volume, highly formatted enterprise reports.
Dashboards from any big data source including data blended with enterprise data sources.

High-Volume Data Processing

Speed development time for big data and achieve exceptional in-cluster performance.

Pentaho Big Data Analytics - High performance data processing

High performance data processing

Native connectivity to leading Hadoop, NoSQL and analytic databases.
Visual designer for MapReduce jobs to reduce development cycles.
Data preparation, modeling and exploration of unstructured data sets.
Powerful, multi-threaded data integration engine for fast execution.
Cluster support, enabling distributed processing of jobs across multiple nodes.
Unique in-Hadoop execution for extremely fast performance.

Adaptive Big Data Layer

Accelerate access and integration to the latest versions and capabilities of popular big data stores.

Pentaho Big Data Analytics - Investment Protection with Adaptive Big Data Layer

Investment Protection with Adaptive Big Data Layer

Ability to access data once - and then process, combine and consume it anywhere.
Support for latest Hadoop distributions from Cloudera, Hortonworks, MapR and Intel.
Simple plug-ins to NoSQL databases such as Cassandra and MongoDB.
Connections to specialized data stores such as Amazon Redshift and Splunk.
Greater flexibility and insulation from changes in the big data ecosystem.

Pentaho Instaview: 3 Steps from Big Data to Big Insights

Pentaho Instaview takes users from data to analytics in three simple steps, reducing the time to access and explore large volumes of complex and diverse data.

Pentaho Big Data Analytics - Instaview for insights from blended big data sets

Instaview for insights from blended big data sets

Self-service analytics for the leading big data stores including Hadoop, Cassandra, HBase, MongoDB and more.
Broadens data access to data analysts and removes the need for separate big data visualization tools.
Allows IT to streamline and manage end user access to big data stores and deploy big data analytics faster.

Powerful Data Mining and Predictive Analytics

Sophisticated analytical modeling empowers organizations to plan for future outcomes by understanding historical business performance.

Pentaho Big Data Analytics - Data Mining and More

Data Mining and More

Powerful algorithms such as classification, regression, clustering and association.
Import of third-party models using Predictive Modeling Markup Language (PMML).
Storing and versioning of models using the Pentaho repository.
Operationalization of models inside or outside of a Hadoop cluster.
Incorporation of algorithms into Pentaho's visual interface.

更新時間:2014-09-01 11:44:13.000 | 錄入時間:2013-11-11 15:33:19.000 | 責任編輯:陳俊吉

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