Next Tuesday marks the start of the Spark Summit Conference in San Francisco. This year, LinkedIn engineers and data scientists are presenting four separate talks at the conference, and we’ll be hosting a meetup at our San Francisco office on the final day. All of this is an indication of the significant impact that Apache Spark has had on the way people process...
Spark Articles
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- Topics:
- Spark,
- Hadoop,
- research,
- Dr. Elephant,
- events
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This post has been updated to note the release of Pepperdata's Application Profiler, a commercial project based on Dr. Elephant. Last April, we announced the first open source release of Dr. Elephant, a performance monitoring and tuning service for Hadoop and Spark jobs. That announcement marked the culmination of two years of internal development work and more...
- Topics:
- Spark,
- Hadoop,
- Dr. Elephant,
- Open Source
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Machine learning is a key component of LinkedIn’s relevance-driven products. We use machine learning to train the ranking algorithms for our feed, advertising, recommender systems (such as People You May Know), email optimization, search engines, and more. For an in-depth example, check out these posts (part one and two) on how LinkedIn applies machine learning...
- Topics:
- Spark,
- Relevance Science,
- Dr. Elephant,
- Open Source,
- relevance,
- Photon ML,
- machine learning
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We are proud to announce today that we are open sourcing Dr. Elephant, a powerful tool that helps users of Hadoop and Spark understand...
- Topics:
- Spark,
- Hadoop,
- Dr. Elephant,
- Open Source