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Around 70 percent of embedded systems use this OS and the RTOS market is expected to grow by 23 percent CAGR within the 2023–2030 forecast period, reaching a market value of over $2.5 When it comes to data integration, RTOS can work with systems that employ data warehousing, API management, and ETL technologies.
billion by 2030, with an impressive CAGR of 27.3% from 2023 to 2030. For instance, businesses are adopting generative AI to create automated reports that adapt to different audiencestechnical teams receive detailed data visualisations, while executives get concise summaries. billion in 2022, it is projected to surge to USD 279.31
Key components of data warehousing include: ETL Processes: ETL stands for Extract, Transform, Load. ETL is vital for ensuring data quality and integrity. Data Pipelines Data pipelines are automated systems that move data from one or more sources to a destination, typically a data warehouse or a data lake.
The following diagram illustrates this architecture. on Amazon Bedrock, with different prompting strategies to evaluate document retrieval and response formation. Anthropic Claude Instant Anthropic Claude 2.0
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