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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

This is accomplished through tags, annotations, and metadata (TAM). Smart content includes labeled (tagged, annotated) metadata (TAM). The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. Collect, curate, and catalog (i.e.,

Strategy 266
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Visualize Amazon DynamoDB insights in Amazon QuickSight using the Amazon Athena DynamoDB connector and AWS Glue

AWS Big Data

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. Choose Next.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations.

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Modernizing Data Architectures

Data Virtualization

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

AI-Fueled Data Governance: Artificial intelligence (AI) has been narrowly tied to the internet of things (IoT) with smart features like Alexa, Nest and self-driving cars. This year, that will change as semantic metadata comes into its own driven by Microsoft’s Common Data Model (CDM). Click here to learn more and register.

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7 data trends on our radar

O'Reilly on Data

This is also reflected by the emergence of tools that are specific to machine learning, including data science platforms, data lineage, metadata management and analysis, data governance, and model lifecycle management. A few years ago, most internet of things (IoT) examples involved smart cities and smart governments.

IoT 204
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Build an analytics pipeline that is resilient to schema changes using Amazon Redshift Spectrum

AWS Big Data

You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. You can read from all the ingested data files at a specified Amazon S3 location with different schemas through a single Amazon Redshift Spectrum table by referring to the AWS Glue metadata catalog.

IoT 94