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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Explore visualizations with AWS Glue interactive sessions

AWS Big Data

AWS Glue interactive sessions offer a powerful way to iteratively explore datasets and fine-tune transformations using Jupyter-compatible notebooks. This post is part of a series exploring the features of AWS Glue interactive sessions. To get started today, refer to Developing AWS Glue jobs with Notebooks and Interactive sessions.

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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

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How To Interact With Power BI Data In A PowerPoint Presentation

Smart Data Collective

Microsoft Power BI is a Business Intelligence and Data Visualization tool which assists organizations to analyze data from multiple sources, convert it into an interactive dashboard and share insights. Data Processing, Data Integration, and Data Presenting form the nucleus of Power BI.

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Building Best-in-Class Enterprise Analytics

Speaker: Anthony Roach, Director of Product Management at Tableau Software, and Jeremiah Morrow, Partner Solution Marketing Director at Dremio

Tableau works with Strategic Partners like Dremio to build data integrations that bring the two technologies together, creating a seamless and efficient customer experience. As a result of a strategic partnership, Tableau and Dremio have built a native integration that goes well beyond a traditional connector.

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GraphDB in Action: Putting the Most Reliable RDF Database to Work for Better Human-machine Interaction

Ontotext

In today’s world, we increasingly interact with the environment around us through data. For all these data operations to flow smoothly, data needs to be interoperable, of good quality and easy to integrate. As a result of these data quality issues, the need for integrity checks arises.

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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

Figure 1 includes a good illustration of different data sets and how they fall along these two size-related dimensions (For the interested reader, check out the figure in an interactive graphic ). For data sets in the upper left quadrant of Figure 1, we know many facts about a few people.