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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154
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Turbocharge Your Apache Spark Jobs for Unmatched Performance

DZone

Apache Spark is a leading platform in the field of big data processing, known for its speed, versatility, and ease of use. Understanding Apache Spark Apache Spark is a unified computing engine designed for large-scale data processing. However, getting the most out of Spark often involves fine-tuning and optimization.

Big Data 130
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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.

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What Should You Know About Graph Database’s Scalability?

DZone

Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task. There is a countless number of enterprises, particularly Internet giants, that have explored ways to make graph data processing scalable.

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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Big Data 111
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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

His favorite TV shows: Ozark, Breaking Bad, Black Mirror, Barry, and Chernobyl Since I joined Netflix back in 2011, my favorite project has been designing and building the first version of our entertainment knowledge graph. I was later hired into my first purely data gig where I was able to deepen my knowledge of big data.

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Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices

The Morning Paper

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.