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The Race For Data Quality in a Medallion Architecture

DataKitchen

For instance, suppose a new dataset from an IoT device is meant to be ingested daily into the Bronze layer. For example, if data about online customer interactions is delayed due to source system lags, the Gold layer’s customer segmentation analysis may fail to reflect recent behavior, leading to irrelevant or poorly targeted campaigns.

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Optimizing the IoT Infrastructure for Enhanced Big Data Performance

Smart Data Collective

According to a report by Gartner, the economic impact of all products connected to the IoT will exceed $300 billion by next year. A number of factors are contributing to the proliferation of the IoT. Big data is the foundation of the IoT. Here are some reasons that big data advances will improve the IoT.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. This article reflects some of what Ive learned. And guess what?

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

Insurance 250
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From data lakes to insights: dbt adapter for Amazon Athena now supported in dbt Cloud

AWS Big Data

Athena plays a critical role in this ecosystem by providing a serverless, interactive query service that simplifies analyzing vast amounts of data stored in Amazon Simple Storage Service (Amazon S3) using standard SQL. Next, use the dbt Cloud interactive development environment (IDE) to deploy your project.

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The unreasonable importance of data preparation

O'Reilly on Data

For example, a pre-existing correlation pulled from an organization’s database should be tested in a new experiment and not assumed to imply causation [3] , instead of this commonly encountered pattern in tech: A large fraction of users that do X do Z. In particular, determining causation from correlation can be difficult.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Another increasing factor in the future of business intelligence is testing AI in a duel. Today, managers and workers need to interact differently as they face an always-more competitive environment.