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ease
features
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support

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Description

Capital Embedded AR Classic is a scalable AUTOSAR Classic software platform developed by Siemens for modern automotive embedded systems. It addresses the challenges of increasingly complex vehicle software by providing a reliable and standards-compliant foundation. Capital Embedded AR Classic supports recent AUTOSAR Classic releases and complies with ISO 26262 requirements up to ASIL D. The platform includes comprehensive communication protocol support, including CAN, CAN-FD, LIN, Ethernet, and FlexRay. It enables efficient development of multibus gateways and distributed embedded architectures. Capital Embedded AR Classic supports multicore processors and flexible partitioning of software components. Engineers can execute time-critical applications using built-in profiling capabilities. The solution is designed to scale from small-footprint ECUs to high-performance platforms. OEM-specific extensions are available, including cybersecurity enhancements. Capital Embedded AR Classic integrates seamlessly with other Siemens tools for streamlined ECU configuration.

Description

Traditional Data Lakes frequently simplify their role to merely serving as inexpensive raw data repositories, overlooking crucial elements such as data transformation, quality assurance, and security protocols. Consequently, data scientists often find themselves dedicating as much as 80% of their time to the processes of data acquisition, comprehension, and cleansing, which delays their ability to leverage their primary skills effectively. Furthermore, the establishment of traditional Data Lakes tends to occur in isolation by various departments, each utilizing different standards and tools, complicating the implementation of cohesive analytical initiatives. In contrast, Smart Data Lakes address these challenges by offering both architectural and methodological frameworks, alongside a robust toolset designed to create a high-quality data infrastructure. Essential to any contemporary analytics platform, Smart Data Lakes facilitate seamless integration with popular Data Science tools and open-source technologies, including those used for artificial intelligence and machine learning applications. Their cost-effective and scalable storage solutions accommodate a wide range of data types, including unstructured data and intricate data models, thereby enhancing overall analytical capabilities. This adaptability not only streamlines operations but also fosters collaboration across different departments, ultimately leading to more informed decision-making.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Apache Kafka
Apache Spark
C
C++
Eclipse IDE
Hadoop
Java
Python
SQL
Scala

Integrations

Amazon S3
Apache Kafka
Apache Spark
C
C++
Eclipse IDE
Hadoop
Java
Python
SQL
Scala

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Siemens

Founded

1847

Country

United States

Website

plm.sw.siemens.com/en-US/capital/products/capital-embedded-ar-classic/

Vendor Details

Company Name

ELCA Group

Founded

1968

Country

Switzerland

Website

www.elca.ch/en/smart-data-lake-builder-efficient-way-lay-foundations-smarter-data-lake

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