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1.

Data-Processing Frameworks Benchmark: Redshift, Hive, Shark, Impala (amplab.cs.berkeley.edu)

100 points

13 years ago

2.

Spin up a Spark cluster with Docker (amplab.cs.berkeley.edu)

29 points

13 years ago

3.

Big Data, Hype, the Media and Other Provocative Words to Put in a Title (amplab.cs.berkeley.edu)

15 points

12 years ago

4.

CrowdDB: uses SQL to crowdsource queries that database systems cannot answer (amplab.cs.berkeley.edu)

10 points

15 years ago

5.

Disk-Locality in Datacenter Computing Considered Irrelevant (amplab.cs.berkeley.edu)

7 points

15 years ago

6.

My Last Lecture: How to Be a Bad Professor (Dave Patterson, UC Berkeley) (amplab.cs.berkeley.edu)

6 points

10 years ago

7.

UC Berkeley AMP Camp 5 Big Data Bootcamp (Nov 20-21) (amplab.cs.berkeley.edu)

5 points

12 years ago

8.

Big Data, Hype, the Media and Other Provocative Words to Put in a Title (amplab.cs.berkeley.edu)

4 points

11 years ago

9.

The Berkeley Data Analytics Stack (amplab.cs.berkeley.edu)

4 points

12 years ago

10.

David Patterson is Retiring (amplab.cs.berkeley.edu)

4 points

cokernel_hacker

11 years ago

11.

Announcing SparkR: R on Spark (amplab.cs.berkeley.edu)

3 points

11 years ago

12.

Passing the Baton – AMPLab – UC Berkeley (amplab.cs.berkeley.edu)

3 points

10 years ago

13.

David Patterson: Moore's Law Is Dead (amplab.cs.berkeley.edu)

2 points

11 years ago

14.

Comparing Large Scale Query Engines (amplab.cs.berkeley.edu)

2 points

13 years ago

15.

Performance analysis of Hive, Redshift, Impala, and Shark (amplab.cs.berkeley.edu)

2 points

13 years ago

16.

Scientific Matrix Factorizations in Spark at Scale (amplab.cs.berkeley.edu)

2 points

10 years ago

17.

(2014) Big Data, Hype, the Media and Other Provocative Words to Put in a Title (amplab.cs.berkeley.edu)

2 points

10 years ago

18.

Fight Cancer with Big Data (amplab.cs.berkeley.edu)

1 point

11 years ago

19.

Apache Spark and Java 8: the big data team for 2015 (amplab.cs.berkeley.edu)

1 point

11 years ago

20.

Latest Data-Processing Benchmark: Redshift, Hive, Shark, Impala, Stinger (amplab.cs.berkeley.edu)

1 point

12 years ago

21.

Comparing Large Scale Queries (amplab.cs.berkeley.edu)

1 point

13 years ago

22.

For Big Data, Moore’s Law means better decisions (amplab.cs.berkeley.edu)

1 point

13 years ago

23.

Dominant Resource Fairness: Fair Allocation of Multiple Resource Types [pdf] (amplab.cs.berkeley.edu)

1 point

a month ago

24.

The Datacenter Needs an Operating System (2011) [pdf] (amplab.cs.berkeley.edu)

1 point

3 years ago

25.

Passing the Baton (amplab.cs.berkeley.edu)

1 point

11 years ago