Pentaho Big Data Analytics实现了通过单一平台提供可视化工具，能提取及合成数据，并且实现可视化和分析的功能，并改变你经营业务的方式。无论是什么数据源，什么样的分析要求或者部署环境，Pentaho都能允许你对大数据进行深层次的分析。
Within a single platform our solution provides visual tools to extract and prepare your data plus the visualizations and analytics that will change the way you run your business. Regardless of the data source, analytic requirement or deployment environment, Pentaho allows you to turn big data into big insights.
完整的大数据平台
紧密的耦合数据集成与商业分析平台加速了大数据的价值实现。
完整的大数据分析平台
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全方位的分析方案：数据访问权限及数据可视化与预测分析方案的集成。
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通过Pentaho自适应的大数据层支持最广泛的数据源，充分利用每个数据源的独特的优势。
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允许用户生成混合的大数据，并将它们用于更全面，更精确的分析方案。
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基于开放标准的构架，支持扩展和与现有设施集成。
交互式的分析方案、报表、可视化功能和面板
Pentaho 允许商业用户和分析师在不依赖IT和开发人员的情况下，通过多个维度轻松的实现数据的可视化，分析和反馈。
强大的大数据分析方案和反馈功能
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交互式可视化分析有数据钻取、lasso滤波、缩放和易于审查的属性高亮显示。
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实时可用的交互式可视化功能库。
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为大数据量的快速思维分析提供了极大规模的的内存数据缓存。
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自主交互式反馈到高容量，高度特化的企业报表。
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支持任何数据，包括混合了企业数据的显示面板。
高容量数据处理
提升大数据开发速度，在集群上获取更好的性能。
高效的数据处理
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支持本地连接到领先的Hadoop，NoSQL和analytic数据库。
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可视化的MapReduce任务设计器缩短了开发周期。
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支持对非结构化数据进行编制，建模和搜索。
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强大的多线程数据集成引擎，加速作业执行。
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支持集群，实现跨结点的分布式处理。
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独特的Hadoop内部执行过程，实现极高效的性能。
自适应大数据层
提高了对流行数据商店的最新版本和功能的访问权限和集成能力。
自适应大数据层用于投资保护
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一旦有了数据的访问权限，之后在任何地方都可以处理，合并和使用它。
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支持从Cloudera、Hortonworks、MapR到Intel等最新的Hadoop分布。
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包含针对Cassandra、MongoDB等NoSQL数据库的简单插件。
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支持连接到Amazon Redshift和Splunk等专业的数据商店。
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高度的灵活性，降低了大数据体系变化所带来的风险和孤立点。
Pentaho Instaview：从大数据发掘想法只需3步
Pentaho Instaview只需简单的3步就可以带领用户从数据走向分析方案，缩短访问和搜索大容量、多样化数据的时间。
Instaview用于从混合大数据集中发掘想法
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针对包括Hadoop，Cassandra，HBase，MongoDB等先进的大数据源提供自助式分析方案。
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提高了大数据的访问权限，去除了分离大数据可视化工具这一要求。
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允许IT输入和管理终端用户的大数据的访问权限，快速部署大数据分析方案。
强大的数据挖掘和预测分析方案
精密的分析模型使得组织机构可以通过历史绩效规划未来成果。
数据挖掘等等
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功能强大的算法，包括分类，回归，聚类和关联性分析。
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使用预测模型标记语言(PMML)导入第三方模型。
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使用Pentaho库对模型进行存储和版本控制。
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使用Pentaho数据集成对Hadoop 集群内外的模型优化。
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算法并入了Pentaho的可视化界面。
Comprehensive Big Data Platform
A tightly coupled data integration and business analytics platform accelerates the realization of value from big data.
Complete Big Data Analytics Platform
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Full array of analytics: data access and integration to data visualization and predictive analytics.
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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.
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Empowers users to architect big data blends at the source and stream them directly for more complete and accurate analytics.
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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.
Powerful Big Data Analytics and Reporting
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Interactive analysis, drill through, lasso filtering, zooming, and attribute highlighting for greater insight.
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Out-of-the box library of interactive visualizations.
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Extreme scale in-memory data caching for speed-of-thought analysis of large data volumes.
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Self-service interactive reporting to high volume, highly formatted enterprise reports.
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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.
High performance data processing
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Native connectivity to leading Hadoop, NoSQL and analytic databases.
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Visual designer for MapReduce jobs to reduce development cycles.
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Data preparation, modeling and exploration of unstructured data sets.
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Powerful, multi-threaded data integration engine for fast execution.
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Cluster support, enabling distributed processing of jobs across multiple nodes.
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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.
Investment Protection with Adaptive Big Data Layer
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Ability to access data once - and then process, combine and consume it anywhere.
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Support for latest Hadoop distributions from Cloudera, Hortonworks, MapR and Intel.
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Simple plug-ins to NoSQL databases such as Cassandra and MongoDB.
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Connections to specialized data stores such as Amazon Redshift and Splunk.
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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.
Instaview for insights from blended big data sets
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Self-service analytics for the leading big data stores including Hadoop, Cassandra, HBase, MongoDB and more.
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Broadens data access to data analysts and removes the need for separate big data visualization tools.
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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.
Data Mining and More
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Powerful algorithms such as classification, regression, clustering and association.
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Import of third-party models using Predictive Modeling Markup Language (PMML).
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Storing and versioning of models using the Pentaho repository.
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Operationalization of models inside or outside of a Hadoop cluster.
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Incorporation of algorithms into Pentaho's visual interface.
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