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Big Data Scala

Spark Summit 2014: Big Data Scala Rising. I’ve attended the second Spark Summit on 6/30-7/1, and here’s a summary of what I’ve seen. Matei Zaharia showed his signature state of Spark histograms, where the rightmost bar follows Moore law on everything – contributors, lines of code, libraries, patches. I’ve talked with Ali at length last fall and was impressed by his scientific rigor and overall erudition. Now he proved an awesome engineering lead, driving a fantastic project to the result which ...Mike Ol...

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Big Data Scala | bigdatascala.com Reviews
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Spark Summit 2014: Big Data Scala Rising. I’ve attended the second Spark Summit on 6/30-7/1, and here’s a summary of what I’ve seen. Matei Zaharia showed his signature state of Spark histograms, where the rightmost bar follows Moore law on everything – contributors, lines of code, libraries, patches. I’ve talked with Ali at length last fall and was impressed by his scientific rigor and overall erudition. Now he proved an awesome engineering lead, driving a fantastic project to the result which ...Mike Ol...
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Big Data Scala | bigdatascala.com Reviews

https://bigdatascala.com

Spark Summit 2014: Big Data Scala Rising. I’ve attended the second Spark Summit on 6/30-7/1, and here’s a summary of what I’ve seen. Matei Zaharia showed his signature state of Spark histograms, where the rightmost bar follows Moore law on everything – contributors, lines of code, libraries, patches. I’ve talked with Ali at length last fall and was impressed by his scientific rigor and overall erudition. Now he proved an awesome engineering lead, driving a fantastic project to the result which ...Mike Ol...

INTERNAL PAGES

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1

Big Data Scala | The $2,000 Apache Spark Demo, Free at SF Data...

http://bigdatascala.com/post/88429484580/data-mining-with-apache-spark

The $2,000 Apache Spark Demo, Free at SF Data Mining. On Thursday, 6/5/2014, Reynold Xin talked about Apache Spark. At the SF Data Mining meetup. The meetup is usually held at Trulia, and as of the time of this writing has about 6,000 members, called “data scientists.”. Reynold showcased Spark SQL integration, where an RDD can be viewed as a table and queried. At Scala By the Bay. We’ll do a two-day post-conference course on Spark. Posted on June 10, 2014. Designed by Manasto Jones.

2

Big Data Scala

http://bigdatascala.com/tagged/Spark

Spark Summit 2014: Big Data Scala Rising. I’ve attended the second Spark Summit on 6/30-7/1, and here’s a summary of what I’ve seen. Matei Zaharia showed his signature state of Spark histograms, where the rightmost bar follows Moore law on everything – contributors, lines of code, libraries, patches. I’ve talked with Ali at length last fall and was impressed by his scientific rigor and overall erudition. Now he proved an awesome engineering lead, driving a fantastic project to the result which ...Mike Ol...

3

Big Data Scala | SF Scala: Martin Odersky, Scala -- the Simple...

http://bigdatascala.com/post/86662477995/sf-scala-martin-odersky-scala-the-simple-parts

SF Scala: Martin Odersky, Scala – the Simple Parts. Martin Odersky is the creator of Scala, and he feels the pressure of the functional wing to make it more Haskell or Idris or Coq, while the beginners keep harping on “Scala complexity.” At a previous SF Scala panel, Scala in 2018. Posted on May 24, 2014. Designed by Manasto Jones.

4

Big Data Scala | SF Scala: Jay Kreps, I

http://bigdatascala.com/post/85741425720/sf-scala-jay-kreps-kafka-intro

SF Scala: Jay Kreps, I 3 Logs. Jay Kreps is a tech lead at LinkedIn for data archietctures, and the creator of Kafka, the distributed, high-performance queue. Previously, producers connected directly to consumers, leading to a web of data pipes and multiple replication semantics. Very quickly it got out of hand. Something like a single hub, or enterprise message bus, was needed. That’s how. Kafka allows producers to publish messages on. Kafka is a natural example of streaming data, and it is no wonder th...

5

Big Data Scala | SF Scala: Jay Kreps, I

http://bigdatascala.com/random

SF Scala: Jay Kreps, I 3 Logs. Jay Kreps is a tech lead at LinkedIn for data archietctures, and the creator of Kafka, the distributed, high-performance queue. Previously, producers connected directly to consumers, leading to a web of data pipes and multiple replication semantics. Very quickly it got out of hand. Something like a single hub, or enterprise message bus, was needed. That’s how. Kafka allows producers to publish messages on. Kafka is a natural example of streaming data, and it is no wonder th...

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Spark Summit 2014: Big Data Scala Rising. I’ve attended the second Spark Summit on 6/30-7/1, and here’s a summary of what I’ve seen. Matei Zaharia showed his signature state of Spark histograms, where the rightmost bar follows Moore law on everything – contributors, lines of code, libraries, patches. I’ve talked with Ali at length last fall and was impressed by his scientific rigor and overall erudition. Now he proved an awesome engineering lead, driving a fantastic project to the result which ...Mike Ol...

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