Open Sourcing Pinot: Scaling the Wall of Real-Time Analytics
Last fall we introduced Pinot, LinkedIn’s real-time analytics infrastructure, that we built to allow us to slice and dice across billions of rows in real-time across a wide variety of products. Today we are happy to announce that we have open sourced Pinot. We’ve had a lot of interest in Pinot and are excited to see how it is adopted by the open source community. We’ve been using it at LinkedIn fo
Open Sourcing Cubert: A High Performance Computation Engine for Complex Big Data Analytics
Open Sourcing Cubert: A High Performance Computation Engine for Complex Big Data Analytics Authors: Maneesh Varshney, Srinivas Vemuri What do you do when your Hadoop ETL script is mercilessly killed because it is hogging too many resources on the cluster, or if it starts missing completion deadlines by hours? We encountered this exact same problem more than a year ago while building the computatio
Avatara: OLAP for Web-scale Analytics Products
We recently presented a paper about Avatara at VLDB 2012. Avatara is LinkedIn's scalable, low latency, and highly-available OLAP system for "sharded" multi-dimensional queries. It has been powering our analytical products, such as "Who's Viewed My Profile?" and "Who's Viewed This Job?", for two and a half years.Read less
Avatara: OLAP for Web-scale Analytics Products
LinkedIn has many analytical insight products such as "Who's Viewed My Profile?" and "Who's Viewed This Job?". At their core, these are multidimensional queries. For example, "Who's Viewed My Profile?" takes someone's profile views and breaks them down by industry, geography, company, school, etc to show the richness of people who viewed their profiles: Online analytical processing (OLAP) has been
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http://vldb.org/pvldb/vol5/p1874_liliwu_vldb2012.pdf
