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Understanding the popular database management system: MySQL

Data Science Dojo

MySQL is a popular database management system that is used globally and across different domains. It is one of the most popular database management systems (DBMS) globally that supports all major operating systems: Linux, macOS, and Windows. Databases are stored on a server, which is typically a remote computer or a cloud server.

Database 195
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Understanding the popular database management system: MySQL

Data Science Dojo

MySQL is a popular database management system that is used globally and across different domains. It is one of the most popular database management systems (DBMS) globally that supports all major operating systems: Linux, macOS, and Windows. Databases are stored on a server, which is typically a remote computer or a cloud server.

Database 195
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Exploring the fundamentals of online transaction processing databases

Dataconomy

What is an online transaction processing database (OLTP)? But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness.

Database 159
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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning Blog

It works by analyzing the visual content to find similar images in its database. Store embeddings : Ingest the generated embeddings into an OpenSearch Serverless vector index, which serves as the vector database for the solution. To do so, you can use a vector database. Retrieve images stored in S3 bucket response = s3.list_objects_v2(Bucket=BUCKET_NAME)

AWS 114
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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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

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Database 111
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Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

Flipboard

When you run the crawler, it creates metadata tables that are added to a database you specify or the default database. This approach is ideal for AWS Glue databases with a small number of tables. Fetch information for the database tables from the Data Catalog. Each table represents a single data store. Build the prompt.

AWS 148
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Modern Data Architecture for Embedded Analytics

Download the whitepaper to see the 7 most common approaches to building a high-performance data architecture for embedded analytics. You’ll learn: 7 approaches to data architecture for embedded analytics—from a transactional database to a columnar or in memory database.