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Connecting Microsoft SQL Server Integration Services and Microsoft SQL Server Data Tools to Oracle…

 Oracle Developers

Oracle Autonomous Database (ADB) is becoming a popular database cloud platform. Several customers have asked how to configure Microsoft SQL Server Integration Services (SSIS) applications to connect t...

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The Top 3 Ways to Get Started With DataOps Pipelines

 Towards Data Science

The proliferation of data and data systems — spurred by an increasing number of use cases for advanced data analytics — has catapulted DataOps into the mainstream for modern organizations.

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Want to be data-driven? Better start thinking about DataOps

 Towards Data Science

Everyone’s talking data. Data is the key to unlocking insight, the secret sauce that will help you get predictive, the fuel for business intelligence. The transformative potential in AI? It relies on…...

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What DataOps is exactly

 Towards Data Science

An overview of DataOps and what makes it different from the other DevOps practices Continue reading on Towards Data Science

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Bridging DataOps and MLOps

 Towards Data Science

ML model inferences as a new Data Source Continue reading on Towards Data Science

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DataOps — What Is It And Why Should You Care?

 Better Programming

Basic concepts and available tools to achieve the data pipeline you dream for Continue reading on Better Programming

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Getting to Know DataOps

 Towards Data Science

When I was told to lead the DataOps initiatives at work, I didn’t know where to begin. So I started from where it was the easiest, by googling it. Okay, so anything to do with processes, policies…

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Big Data Integration

 Towards Data Science

Data integration is a set of processes used to retrieve and combine data from disparate sources into meaningful and valuable information. A complete data integration solution delivers trusted data…

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Integration Services Catalogs — 101

 Analytics Vidhya

Simple tutorial to explain how to create, import and export .dtsx packages. “Integration Services Catalogs — 101” is published by Ganesh Chandrasekaran in Analytics Vidhya.

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Data Science with Optimus. Part 2: Setting your DataOps Environment.

 Towards Data Science

We started this journey talking about Optimus, Spark and creating out environment. For that we are using MatrixDS: We will create a simple (but robust) DataOps environment in the platform using the…

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Why DataOps Is Here to Stay

 Towards Data Science

The emergence of AI and machine learning in the past decade has forever transformed the data landscape. It is estimated that businesses worldwide will spend more than $1.8 trillion annually by 2021…

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The Rise of DataOps

 Towards Data Science

Have we found a fix for today’s data chaos and collaboration challenges? Photo by Chris Liverani on Unsplash Data is getting even bigger, and traditional data management just doesn’t work. DataOps is...

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