In the era of big data, corporations and businesses are increasingly collecting immense amounts of unstructured data in the form of free text, from customer service conversations to market research surveys. While it is clear that such member feedback, or “Voice of the Member” (VOM), contains valuable information, it is often less clear how to best analyze such...
Data Articles
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In modern data-driven businesses, the complexity that arises from fast-paced analytics, data mining and ETL processes makes metadata increasingly important. In this blog post, we share our own journey and a new open source effort that aims to boost productivity and data provenance. WhereHows, a project of the LinkedIn Data team, works by creating a central...
- Topics:
- Data,
- Open Source,
- WhereHows
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Update Apr 13, 2016: There are numerous improvement to Samza cachestore (SAMZA-658, SAMZA-812, SAMZA-873 etc.) since our last test runs. Those fixes improve two cases' (rocksdb only and rocksdb with changelog) performance dramatically. We reran those two cases and are reposting the numbers here. Per node throughput is about 1.1 million messages / sec with...
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If you had the right data, what could you do to create economic opportunity for every professional in the world? Since we announced...
- Topics:
- Data
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Less than a year ago, we announced the first open source release of Apache Incubator Samza, a framework for processing big data...
- Topics:
- Stream Processing,
- Data,
- Data Streams,
- Performance,
- Agility,
- Kafka,
- Samza
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I joined LinkedIn about six years ago at a particularly interesting time. We were just beginning to run up against the limits of our...
- Topics:
- Logs,
- Stream Processing,
- Hadoop,
- Data,
- Distributed Systems,
- ETL,
- Kafka