Remove Data Analytics Remove Optimization Remove Recreation/Entertainment
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Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

One-time and complex queries are two common scenarios in enterprise data analytics. Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios.

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Accelerate your data workflows with Amazon Redshift Data API persistent sessions

AWS Big Data

Maintaining reusable database sessions to help optimize the use of database connections, preventing the API server from exhausting the available connections and improving overall system scalability. Anusha Challa is a Senior Analytics Specialist Solutions Architect focused on Amazon Redshift.

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Simplify real-time analytics with zero-ETL from Amazon DynamoDB to Amazon SageMaker Lakehouse

AWS Big Data

At AWS re:Invent 2024, we introduced a no code zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse , simplifying how organizations handle data analytics and AI workflows. This approach uses RMS for storage while maintaining data in the Iceberg format, providing an optimal balance of performance and flexibility.

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Overcoming the 6 barriers to IT modernization

CIO Business Intelligence

For instance, AT&T launched a comprehensive reskilling initiative called “Future Ready” to train employees in emerging technologies such as cloud computing, cybersecurity, and data analytics. The compay fostered a culture of innovation by involving employees in the modernization process and addressing their concerns.

IT
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What is S/4HANA? SAP’s latest ERP system explained

CIO Business Intelligence

Not only has the data model been simplified, but the graphical user interface (GUI) through which users access processes has also been redesigned. Instead of the SAP GUI optimized for transaction processing, the role-based SAP Fiori was introduced. S/4HANA Cloud With S/4HANA, SAP has also taken a new approach to its operating model.

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How the Sports and Entertainment Industry Is Reinventing the Fan Experience and Enhancing Revenues with Computer Vision

CIO Business Intelligence

Data-driven venues from sporting events and concerts to other live events are helping to bolster the entertainment industry while simultaneously helping to ensure a safer environment for all. . However, the sports and entertainment industry, like many others, experienced a huge loss of revenue over the last few years.

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The Role of Analytics and BI in the Entertainment Industry

Smart Data Collective

The explanation for this impressive personalization lies in advanced data analytics mechanisms. The privacy concerns around big data are not empty words – BI does help business owners monetize your desires. What Businesses Belong to the Entertainment Industry? However, this year’s entertainment looks different.