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Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone

AWS Big Data

You can now use your tool of choice, including Tableau, to quickly derive business insights from your data while using standardized definitions and decentralized ownership. Prerequisites To get started, complete these steps: Download and install the latest Athena JDBC driver for Tableau.

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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

This new JDBC connectivity feature enables our governed data to flow seamlessly into these tools, supporting productivity across our teams.” Getting started To get started, download and install the latest Athena JDBC driver for your tool of choice. Download the latest JDBC driver—version 3.x.

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Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow

AWS Big Data

With Amazon AppFlow, you can run data flows at nearly any scale and at the frequency you chooseon a schedule, in response to a business event, or on demand. You can configure data transformation capabilities such as filtering and validation to generate rich, ready-to-use data as part of the flow itself, without additional steps.

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Mastering Data Analysis Report and Dashboard

FineReport

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1. Try FineReport Now 1.1

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Advanced reporting and analytics for the Post Call Analytics (PCA) solution with Amazon QuickSight

AWS Big Data

In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes. You can apply data, agent, call duration, and language filters for targeted search. Select -PCA-Dashboard and choose Share.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

However, you might face significant challenges when planning for a large-scale data warehouse migration. The data warehouse is highly business critical with minimal allowable downtime. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring.

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How SOCAR handles large IoT data with Amazon MSK and Amazon ElastiCache for Redis

AWS Big Data

Components of the consumer application The consumer application comprises three main parts that work together to consume, transform, and load messages from Amazon MSK into a target database. The following diagram shows an example of data transformations in the handler component. RUN go mod download COPY. alpine3.16

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