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Seamless Access to ASAM ODS Data with Apache Spark

Peak ODS Adapter for Apache Spark integrates seamlessly with ASAM ODS, enabling users to access both instance and mass data directly using Apache Spark SQL and DataFrames. This capability complements the interactive experience of Peak Test Data Workplace  web client by allowing developers and data analysts to programmatically execute complex, custom queries. With Apache Spark’s high-level APIs, like Python, data professionals can leverage tools like Apache Zeppelin or Jupyter Notebooks for in-depth, interactive data exploration.

Peak ODS Adapter for Apache Spark enables deeper insights into vehicle tests

Explorative Data Analysis with Notebooks

One of the significant advantages of Peak ODS Adapter for Apache Spark is its compatibility with notebook environments. Tools like Jupyter Notebooks and Apache Zeppelin support interactive analysis, making it easy to explore, visualize, and iteratively refine data insights. By working in a notebook environment, teams can first gain a comprehensive overview of their data and then build on findings to reach their analysis goals. Sharing data is equally streamlined: notebooks can be circulated across teams, allowing authorized users to access, review, and further develop analytical findings. Browse our open source repositories for example notebooks.

Scalability and High-Performance Data Processing

A key benefit of Peak ODS Adapter for Apache Spark is its scalability. With this adapter, companies can perform complex queries and analytics on extensive datasets at high speed. Depending on the available Apache Spark cluster resources and licensed executors, users can scale from standalone local processing to high-performance clusters, making it possible to handle massive data volumes with ease. This scalability supports businesses in building out big data capabilities as needed, ensuring that infrastructure grows in line with analytical requirements.

Ready for Big Data Integration

The Peak ODS Adapter for Apache Spark also supports Peak BigODS Exporter, enabling standardized data exports in Apache AVRO or Apache Parquet file formats. These formats are compatible with big data ecosystems like Apache Hadoop, allowing seamless integration of test data into an existing big data infrastructure. This connector opens the door for automotive companies to develop a scalable, future-proof data platform that transforms test data into a valuable strategic asset—following the principle: “Start small, think big.”

Start Building Your Data-Driven Future Today

Peak ODS Adapter for Apache Spark is an ideal solution for companies aiming to unlock the full potential of their ASAM ODS data without extensive upfront IT investments. This scalable approach allows organizations to begin with existing infrastructure, progressively building out a powerful big data cluster to manage, analyze, and leverage test data at scale.

Ready to elevate your test data management strategy? Reach out to Peak Solution to learn more about Peak ODS Adapter for Apache Spark  and discover how our solutions can enhance your data-driven initiatives.