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Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning Blog

Verify the data load by running a select statement: select count (*) from sales.total_sales_data; This should return 7,991 rows. The following screenshot shows the database table schema and the sample data in the table. She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management.

Database 111
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Search enterprise data assets using LLMs backed by knowledge graphs

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Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries.

AWS 148
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Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

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Transform raw insurance data into CSV format acceptable to Neptune Bulk Loader , using an AWS Glue extract, transform, and load (ETL) job. When the data is in CSV format, use an Amazon SageMaker Jupyter notebook to run a PySpark script to load the raw data into Neptune and visualize it in a Jupyter notebook.

AWS 123
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AWS Athena and Glue a Powerful Combo?

Towards AI

The ORC and Parquet are columnal storage and they are famous in the Big Data world because of their efficient storage. First things first, load the sample data into the S3 bucket. The sample data used in this article can be downloaded from the link below, Fruit and Vegetable Prices How much do fruits and vegetables cost?

AWS 103
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An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)

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The generated images can also be downloaded as PNG or JPEG files. In the above instruction, you learned how the data explorer works with different visualizations. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. Big Data Architect. He works based in Tokyo, Japan.

SQL 159
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Unlock the value of your Azure data with Tableau

Tableau

With Tableau’s new and updated Azure connectivity you can gain more value from your data investments by adding seamless and powerful analytics to your Azure stack. Azure Data Lake Storage Gen2. Data Lakes have become a staple of enterprise data strategies. They offer a low-cost, big data storage solution.

Azure 102
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Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs

AWS Machine Learning Blog

For instance, a notebook that monitors for model data drift should have a pre-step that allows extract, transform, and load (ETL) and processing of new data and a post-step of model refresh and training in case a significant drift is noticed.

ML 113