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Unlock innovation in data and AI at AWS re:Invent 2023

AWS Big Data

F1 uses all that data with AWS to gain insights on race strategy and car performance. They also integrate some of those insights into the live TV broadcast to entertain and educate fans. You can race slot cars while seeing AWS technologies pull data in real time.

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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. The best way to start a data strategy is to establish some real value drivers that the business can get behind. Does the data live in one or many clouds?

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Breaking down Business Intelligence

BizAcuity

For business intelligence to work out for your business – Define your data strategy roadmap. Your data strategy and roadmap will eventually lead you to a BI strategy. So, make sure you have a data strategy in place. Data Integration. Visual Analytics and Data Visualization.

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What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

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Detect, mask, and redact PII data using AWS Glue before loading into Amazon OpenSearch Service

AWS Big Data

Amazon Kinesis and Amazon MSK also have capabilities to stream data directly to a data lake on Amazon S3. S3 data lake Using Amazon S3 for your data lake is in line with the modern data strategy. With this approach, you can bring compute to your data as needed and only pay for capacity it needs to run.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Users interested in visual exploration can do so using AWS Glue DataBrew.

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Migrate your existing SQL-based ETL workload to an AWS serverless ETL infrastructure using AWS Glue

AWS Big Data

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Navigate to the Visual tab.

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