Remove Artificial Intelligence Remove Cloud Data Remove Data Pipeline
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The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

Data engineers build data pipelines, which are called data integration tasks or jobs, as incremental steps to perform data operations and orchestrate these data pipelines in an overall workflow. Organizations can harness the full potential of their data while reducing risk and lowering costs.

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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

OMRONs data strategyrepresented on ODAPalso allowed the organization to unlock generative AI use cases focused on tangible business outcomes and enhanced productivity. Xinyi Zhou is a Data Engineer at Omron Europe, bringing her expertise to the ODAP team led by Emrah Kaya.

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How Dataiku and Snowflake Strengthen the Modern Data Stack

phData

Snowflake’s cloud-agnosticism, separation of storage and compute resources, and ability to handle semi-structured data have exemplified Snowflake as the best-in-class cloud data warehousing solution. Snowflake supports data sharing and collaboration across organizations without the need for complex data pipelines.

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Discovering the Role of Data Science in a Cloud World

Pickl AI

Key Features Tailored for Data Science These platforms offer specialised features to enhance productivity. Managed services like AWS Lambda and Azure Data Factory streamline data pipeline creation, while pre-built ML models in GCPs AI Hub reduce development time. Below are key strategies for achieving this.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning Blog

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. Tayo Olajide is a seasoned Cloud Data Engineering generalist with over a decade of experience in architecting and implementing data solutions in cloud environments.

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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

Flipboard

JuMa is tightly integrated with a range of BMW Central IT services, including identity and access management, roles and rights management, BMW Cloud Data Hub (BMW’s data lake on AWS) and on-premises databases. Furthermore, the notebooks can be integrated into the corporate Git repositories to collaborate using version control.

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