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Kickstart Your 2023 with these 6 Articles – The Meltano Teams Favorite Data Articles of 2022

Meltano

The data world is in turmoil and lots of exciting things happen every day, week and year. At Meltano we’re ourselves avid users of data, data engineers, data PMs, and data enthusiasts through and through. At the end of 2022 we decided to collect the blogs we enjoyed the most over the year.

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Analysts make the best analytics engineers

dbt Developer Hub

So let’s say that you have a business question, you have the raw data in your data warehouse , and you’ve got dbt up and running. You’re in the perfect position to get this curated dataset completed quickly! You’ve got three steps that stand between you and your finished curated dataset. Or are you?

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Data Journey First DataOps

DataKitchen

Constant Data And Tool Errors In Production Teams cannot see across all tools, pipelines, jobs, processes, datasets, and people. No Time For Data Validation Testing Teams must learn what, where, and how to check raw, integrated, or ‘data in use’ to ensure the correct outputs.

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Data Quality Score: The next chapter of data quality at Airbnb

Airbnb Tech

In fact, more data, especially if you can’t rely on its quality, can hinder a company by slowing down decision-making or causing poor decisions. billion cumulative guest arrivals as of year-end 2022, Airbnb’s growth pushed us to an inflection point where diminishing data quality began to hinder our data practitioners.

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Data Engineering Weekly #105

Data Engineering Weekly

The author narrates the data contract, why it is the foundation for building data mesh, and how it glue data catalogs, glossary and data quality systems. link] Tomasz Tunguz: 9 Predictions for data in 2023 It is almost the end of 2022, and it's time for 2023 predictions.

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Re-Imagining Data Observability

Databand.ai

Re-Imagining Data Observability Ryan Yackel 2022-11-04 10:36:35 Data observability has become one of the hottest topics of the year – and for good reason. Data observability provides an end-to-end view into exactly what’s happening with data pipelines across an organization’s data fabric.

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Visionary Data Quality Paves the Way to Data Integrity

Precisely

New technologies are making it easier for customers to process increasingly large datasets more rapidly. Read our eBook 4 Ways to Measure Data Quality and learn more about the variety of data and metrics that organizations can use to measure data quality.