Remove Data Validation Remove Data Warehouse Remove Data Workflow Remove Hadoop
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DataOps Tools: Key Capabilities & 5 Tools You Must Know About

Databand.ai

Poor data quality can lead to incorrect or misleading insights, which can have significant consequences for an organization. DataOps tools help ensure data quality by providing features like data profiling, data validation, and data cleansing.

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The DataOps Vendor Landscape, 2021

DataKitchen

Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively.

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DataOps: What Is It, Core Principles, and Tools For Implementation

phData: Data Engineering

This commonly introduces: Database or Data Warehouse API/EDI Integrations ETL software Business intelligence tooling By leveraging off-the-shelf tooling, your company separates disciplines by technology. Instead of manually working with the data, software, and data products, extract the data to unlock the ability to generate insights.

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