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Batch Processing vs. Stream Processing: Why Batch Is Dying and Streaming Takes Over

DZone

With this data comes the challenge of processing it in a timely and efficient way. Companies worldwide are investing in technologies that can help them better process, analyze, and use the data they are collecting to better serve their customers and stay ahead of their competitors. Let’s recap some of the basics first.

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Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain. Optimizing Data Input Make Use of Data Forma t In most cases, the data being processed is stored in a columnar format.

Big Data 269
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Medallion Architecture: Efficient Batch and Stream Processing Data Pipelines With Azure Databricks and Delta Lake

DZone

In today's data-driven world, organizations need efficient and scalable data pipelines to process and analyze large volumes of data. Medallion Architecture provides a framework for organizing data processing workflows into different zones, enabling optimized batch and stream processing.

Azure 246
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Your Guide to Automated Testing [Article and Tutorials]

DZone

It's time to automate you testing process! What Is Automated Testing? DZone Refcard: Automated Testing: Improving Application Speed and Quality — Learn more about mobile testing in Kotlin, go beyond what Selenium provides for web application testing, and take a deep dive into trends such as Behavioral-Driven Development and Visual Regression.

Testing 337
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Secrets Detection: Optimizing Filter Processes

DZone

In a previous article , we explained how we built benchmarks to keep track of those three metrics: precision, recall, and the most important here, speed. So it wasn’t a surprise to find that our engine had the same problem: more power, less speed.

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How to Kill Processes in Unix/Linux

DZone

There are different options to terminate a process in Unix/Linux flavor of operating systems. This article intends to list and provide examples of each option. You can use the kill command to terminate a process by passing the process id. PID is the process ID of the process that you want to terminate.

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How TripleLift Built an Adtech Data Pipeline Processing Billions of Events Per Day

High Scalability

Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. This processing can be summed up as the continuous aggregation and delivery of reporting data to users in a cost efficient manner.