Remove Data Warehouse Remove Data Workflow Remove High Quality Data Remove Python
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How to Use DBT to Get Actionable Insights from Data?

Workfall

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

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Data Quality Engineer: Skills, Salary, & Tools Required

Monte Carlo

These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders. About 61% request you also have a formal computer science degree.

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Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. __init__ covers the Python language, its community, and the innovative ways it is being used.

Data Lake 262
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Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Contact Info yingjunwu on GitHub Personal Website LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

SQL 173
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DataOps For Business Analytics Teams

DataKitchen

They need high-quality data in an answer-ready format to address many scenarios with minimal keyboarding. What they are getting from IT and other data sources is, in reality, poor-quality data in a format that requires manual customization. ETL, SQL, Python, XML, tableau workbooks, etc.)

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Modern Customer Data Platform Principles

Data Engineering Podcast

A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Data Lake 147
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What is Data Orchestration?

Monte Carlo

While data orchestration tools might not be required for a pipeline to be considered “functional,” they’re nonetheless an essential component of the modern data stack, and serve as the connective tissue among various data warehouses. Automating data workflows. What is Metaflow? What is Prefect?