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5 Helpful Extract & Load Practices for High-Quality Raw Data

Meltano

Setting the Stage: We need E&L practices, because “copying raw data” is more complex than it sounds. For instance, how would you know which orders got “canceled”, an operation that usually takes place in the same data record and just “modifies” it in place. But not at the ingestion level.

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Why Data Integrity Is the Baseline for Innovation

Precisely

The success of all of those investments hinges on high levels of data integrity. Data infrastructure spending is expected to reach $200 billion in 2022, and 68% of Fortune 1000 businesses now have hired Chief Digital Officers, elevating data integrity to the level of the C-suite. What Is Data Integrity?

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ETL vs. ELT and the Evolution of Data Integration Techniques

Ascend.io

As data became the backbone of most businesses, data integration emerged as one of the most significant challenges. Today, a good part of the job of a data engineer is to move data from one place to another by creating pipelines that can be either ETL vs. ELT. This causes two issues.

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Know Before You Go – Trust ’23: the Precisely Data Integrity Summit

Precisely

Learn more The countdown is on to Trust ’23: the Precisely Data Integrity Summit! We recently announced the details of our annual virtual event , and we’re thrilled to once again bring together thousands of data professionals worldwide for two days of knowledge, insights, and inspiration for your data integrity journey.

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How to Ensure Data Integrity at Scale By Harnessing Data Pipelines

Ascend.io

So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently. Data integrity is vital to every company’s survival and growth.

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Use Data Enrichment to Supercharge AI

Precisely

The answers lie in data integrity and the contextual richness of the data that fuels your AI. If machine learning models have been trained on untrustworthy data, fixing the problem can be expensive and time-consuming. Contextual data. Data integrity is multifaceted.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ? Bronze, Silver, and Gold – The Data Architecture Olympics? The Bronze layer is the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form.