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Your Introduction To CFO Dashboards & Reports In The Digital Age

datapine

But, while working efficiently with fiscal data was once a colossal challenge, we live in the digital age and have incredible solutions available to us. CFO dashboards exist to enhance the strategic as well as the analytical efforts related to every financial aspect of your business. What Is A CFO Dashboard?

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

For complete getting started guides, refer to Working with Aurora zero-ETL integrations with Amazon Redshift and Working with zero-ETL integrations. Refer to Connect to an Aurora PostgreSQL DB cluster for the options to connect to the PostgreSQL cluster. Choose Query data to open the query editor v2.

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Obtain Business Development With Data Intelligence Tools & Technologies

datapine

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so. click to enlarge**.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. For more information, refer to Notions of Time: Event Time and Processing Time. For more information, refer to Dynamic Tables.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. At the top of the hierarchy is the metadata file, which stores information about the table’s schema, partition information, and snapshots. Choose an S3 path for Workspaces backup.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards.