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DataKitchen’s 2020 Honors & Awards

DataKitchen

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

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DataOps Observability: Taming the Chaos (Part 3)

DataKitchen

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. Data and tool tests. It’s not just about what happens during the operation; it’s also about what happens after the operation. Alerting paths.

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A Data Prediction for 2025

DataKitchen

This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. Enterprises are more challenged than ever in their data sprawl , so reducing risk and lowering costs drive software spending decisions. Driving new opportunities and expansion takes a back seat.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation.

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Data Observability and Monitoring with DataOps

DataKitchen

You probably imagined your career would be about helping drive insights with data instead of having to sit in endless meetings discussing analytics errors and painstaking corrective actions. Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts.

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Governing data in relational databases using Amazon DataZone

AWS Big Data

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines.

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO Business Intelligence

It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment. Their requirements lead to excessive bugs; Developers do not cover their code with low-level tests.