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features
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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 No 
Apache Kafka No 
Apache Spark No 
C Yes 
C++ Yes 
Eclipse IDE Yes 
Hadoop No 
Java No 
Python No 
SQL No 
Scala No 

Integrations

Amazon S3 Yes 
Apache Kafka Yes 
Apache Spark Yes 
C No 
C++ No 
Eclipse IDE No 
Hadoop Yes 
Java Yes 
Python Yes 
SQL Yes 
Scala Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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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