big data

Big Data

Many organizations struggle to manage and mine data that comes from modern technology platforms. The data arriving into the organization may be in the form of a small amount of very large files, or in the form of millions of very small files arriving every day, or even every minute. Platforms such as Apache Spark™ are seen by data scientists as preferred solutions to manage and process these vast amounts of data to quickly generate insight from data found in distributed file systems. Its ability to work in-memory with extremely large datasets is in part why Spark is included in big data architectures. Altair enables organizations to work efficiently with big data in high-performance computing (HPC), modern processing and storage platforms, and cloud environments. Don’t let difficult data be a barrier to making informed decisions.

Big Data and HPC

Altair® Unlimited™ is a turnkey, state-of-the-art private appliance, available in both on-premises and cloud-based formats. Altair Unlimited delivers unlimited use of a wide range of Altair® HyperWorks® solver software for simulating mechanics, fluids, electromagnetics, and more — including modeling, visualization, and optimization. To keep it all working at maximum efficiency, HPC resource management and user-friendly web portal software comes included with every system in the industry-leading Altair® PBS Works™ package.

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

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Big Data and Data Analytics

As a productivity tool, Altair® Knowledge Studio® for Apache Spark allows users to interact with Spark using an interactive and intuitive interface to generate error-free code for use in production scripts. The ability to easily manipulate data in distributed storage architectures, including large datasets that have billions of rows and thousands of columns, is unmatched by any other solution.

One workflow is used to transform big data formats and to build and deploy many different types of predictive machine learning models.

Rapid visualization of data and easily explaining insight found in extremely large amounts of data allow enterprise data analytic teams to make informed decisions from data sources such as Hadoop HDFS, Amazon S3, and other storage supported by Spark.

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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.


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.


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.


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.

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