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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Announcing GA of DataFlow Functions

Cloudera

Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. Fig2: DataFlow Functions runtime environments are available in AWS Lambda, Azure Functions, and Google Cloud Functions.

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Lumigo raises $29M for its cloud-native application monitoring platform

TechCrunch

The company started with a focus on distributed tracing for serverless platforms like AWS’ API Gateway, DynamoDB, S3 and Lambda. It offers both a paid SaaS service (which includes a free tier ), as well as a free command line tool for analyzing and tuning services based on AWS Lambda and Kinesis. Image Credits: Lumigo.

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How a Serverless Architecture Can Help You Secure Cloud-Native Applications

Tenable

However, it can be challenging to protect cloud-native applications that leverage serverless functions like AWS Lambda, Google Cloud Functions, and Azure Functions and Azure App Service. In this article, we’ll discuss what a serverless architecture is and how it can help you secure cloud-native applications.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

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