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Building Data Visualization Expertise for Your Business  

InsightOut

In this data-driven world, building a team of data analysts can be a challenge. Implementing data visualization and analytics dashboards can be the beginning of the data transformation journey.

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Alteryx to Dataiku: AutoML

Dataiku

In our last three blogs, we covered how Dataiku’s visual flow can help enhance collaboration and visibility, differences in how you work with datasets , and one of the key tools to accelerate data transformations: recipes. Welcome back to part four of the Alteryx to Dataiku series!

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

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From Disparate Data to Visualized Knowledge Part I: Moving from Spreadsheets to an RDF Database

Ontotext

And all of them are asking hard questions: “Can you integrate my data, with my particular format?”, “How well can you scale?”, “How many visualizations do you offer?”. Nowadays, data analytics doesn’t exist on its own. You have to take care of data extraction, transformation and loading, and of visualization.

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Accelerate analytics on Amazon OpenSearch Service with AWS Glue through its native connector

AWS Big Data

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue provides both visual and code-based interfaces to make data integration effortless. Choose Create job and Visual ETL.

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How HR&A uses Amazon Redshift spatial analytics on Amazon Redshift Serverless to measure digital equity in states across the US

AWS Big Data

This dynamic tool, powered by AWS and CARTO, provided robust visualizations of which regions and populations were interacting with our survey, enabling us to zoom in quickly and address gaps in coverage. Figure 1: Workflow illustrating data ingesting, transformation, and visualization using Redshift and CARTO.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

While quantitative analysis, operational analysis, and data visualizations are key components of business analytics, the goal is to use the insights gained to shape business decisions. What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics.