大数据

大数据

许多组织都在努力管理和挖掘来自现代技术平台的数据。到达组织的数据可能采用少量的大型文件形式,或者以每天甚至每分钟到达的数百万个小文件的形式。数据科学家将 Apache Spark 等平台视为管理和处理大量数据,以从分布式文件系统中发现的数据中快速生成洞察力。它能在内存中处理超大型数据集,其一部分原因就是 Spark 包含在大数据架构中。Altair 使组织能在高性能计算 (HPC)、现代处理和存储平台和云环境中有效地处理大数据。别让复杂数据成为做出明智决策的障碍。

大数据和 HPC

Altair® Unlimited™ 是一种先进的交钥匙私有设备,具有本地版和云版两种版本。Altair Unlimited 支持无限使用各种 Altair® HyperWorks® 求解器软件执行力学、流体、电磁等仿真,包括建模、可视化和优化。为了尽可能地全面提高效率,行业领先的 Altair® PBS Works™ 软件包的每个系统都集成了 HPC 资源管理、界面友好的 web 门户软件。

Altair Unlimited boxes up software, system administration, and infrastructure as a service into a single, intuitive platform.

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大数据与数据分析

作为提高工作效率的工具,Altair® Knowledge Studio® 能使用户通过直观的交互式界面连接 Apache Spark,生成无错误代码,用于生产脚本。并可在分布式存储体系结构中轻松操作数据(包括具有数十亿行和数千列的大型数据集),这是任何其他解决方案所无法比拟的。

这样一种工作流:用于转换大数据格式,并构建和部署许多不同类型的预测机器学习模型。

企业数据分析团队能够快速实现数据可视化并从大量数据中获得易于理解的信息,从而利用 Hadoop HDFS、Amazon S3,以及 Spark 支持的其他存储等数据源做出明智的决策。

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全新云原生解决方案

做出数据驱动型决策

动态工具和协作环境可解决复杂的问题,加速转型和提升业务价值

探索 Altair® SmartWorks™

特色资源

Altair Knowledge Studio for Apache Spark™

Knowledge Studio for Apache Spark™ is unique because it allows users scale up, scale-wide and scale-down. It not only leverage’s Apache Spark’s ability to operate on datasets with very large numbers of records, it is also capable of generating improved SparkSQL queries on datasets that have thousands of columns. Further, Knowledge Studio for Apache Spark provides the ability to scale down by avoiding the overhead costs of parallelization when datasets are very small.

Datasheets

The Future of Altair's Data Analytics Solutions

Altair solver technology helps to unleash the limitless potential of the creative mind. We seek through our technology to inspire and empower people to solve the greatest engineering challenges. The 2020 software release further advances forward-looking technologies for simulation and optimization from concept to in-service across multiple disciplines encompassing structures, fluids, thermal management, electromagnetics, and electronics. With major additions to our multi-physics solver portfolio, we get ever closer to being able to reliably predict design performance.

Data Anaytics Summit 2020

Overcome Big Data Access Challenges with Knowledge Studio for Apache Spark™

In combination with its market-leading data visualization approach for building, exploring and segmenting data, and building explainable predictive models, Altair Knowledge Studio for Apache Spark&tradel enables data science teams to build machine learning models from data located in distributed file systems without having to code. Data preparation and profiling allows for easy data extraction and manipulation. Knowledge Studio’s efficient use of compute resources, especially in cloud environments, shortens processing cycles and reduces costs. Large datasets with billions of rows and thousands of columns can be efficiently mined for better decision intelligence.

Webinars

Panopticon Explainer: Introduction to Panopticon Streaming Analytics

Managing critical IoT, telecommunications, and energy infrastructures requires real-time insight into massive amounts of information. Business analysts and engineers can’t wait for end-of-day reports to make decisions that directly affect their operations. They must be able to see and understand what is happening in real time – as it happens. They must also be able to examine all the events leading up a problem in fantastic detail. Altair Panopticon provides people working for the world’s largest corporations with the tools they need to build and deploy their own real-time analytics applications. With Panopticon, engineers and analysts can spot emerging trends, clusters, and outliers in seconds. They can also rewind and look at every single step in a series of events with nanosecond accuracy. Panopticon handles data directly from any data source you’re likely to use, including real-time message buses, time series database, CEP engines, SQL databases, and Big Data repositories.

Product Overview Videos
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