mrry

15 ms·

91.
The private cloud is dead(cohodata.com)
1 points by mrry 11y ago|0 comments
92.
by mrry 11y ago
A lot of the differences between the systems arise from the implementation choice of how to do aggregation in Hadoop 2.4.0 and Spark 1.3. There's nothing inherent in the RDD model, for example, that says the aggregation has to be done
93.
Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics [pdf](vldb.org)
70 points by mrry 11y ago|11 comments
94.
An introduction to differential dataflow, part 1(github.com)
32 points by mrry 11y ago|0 comments
95.
An introduction to differential dataflow, part 1(github.com)
2 points by mrry 11y ago|0 comments
96.
Introducing U-SQL, a language for big data processing(blogs.msdn.com)
83 points by mrry 11y ago|15 comments
97.
Introducing U-SQL, a language for big data processing(blogs.msdn.com)
2 points by mrry 11y ago|0 comments
98.
25th ACM Symposium on Operating Systems Principles(sigops.org)
4 points by mrry 11y ago|0 comments
99.
An introduction to timely dataflow, part 3(github.com)
3 points by mrry 11y ago|0 comments
100.
Partially evaluating a bytecode interpreter using C++ templates(cl.cam.ac.uk)
15 points by mrry 11y ago|1 comments
101.
An introduction to timely dataflow, part 2(github.com)
70 points by mrry 11y ago|6 comments
102.
Bringing Chaos to Order(amitabharoy.wordpress.com)
1 points by mrry 11y ago|0 comments
103.
An introduction to timely dataflow in Rust(github.com)
2 points by mrry 11y ago|0 comments
104.
Busting graph processing myths with Chaos(amitabharoy.wordpress.com)
3 points by mrry 11y ago|0 comments
105.
Searching a 128B–node graph with BFS on a laptop(github.com)
17 points by mrry 11y ago|1 comments
106.
Sorting out graph processing(github.com)
107 points by mrry 11y ago|11 comments
107.
What does it take to make Google work at scale?(docs.google.com)
247 points by mrry 11y ago|130 comments
108.
Lasp: A language for distributed, coordination-free programming(blog.acolyer.org)
33 points by mrry 11y ago|5 comments
109.
One trillion edges: graph processing at Facebook scale [pdf](vldb.org)
201 points by mrry 11y ago|25 comments
110.
An Empirical Study of Implicit Type Conversions in JavaScript(blog.acolyer.org)
10 points by mrry 11y ago|1 comments
111.
The impact of fast networks on graph analytics, part 2(frankmcsherry.org)
14 points by mrry 11y ago|0 comments
112.
The emperor's new clothes: distributed machine learning(fastml.com)
1 points by mrry 11y ago|0 comments
113.
Miscomputation: Learning to live with errors(tomasp.net)
4 points by mrry 11y ago|0 comments
114.
The impact of fast networks on graph analytics, part 1(frankmcsherry.org)
17 points by mrry 11y ago|0 comments
115.
A more realistic perspective on country sizes(flowingdata.com)
1 points by mrry 11y ago|0 comments
116.
Why my car cost more than taking Uber everywhere(da-data.blogspot.com)
4 points by mrry 11y ago|2 comments
117.
Differential dataflow(blog.acolyer.org)
4 points by mrry 11y ago|0 comments
118.
Naiad: a timely dataflow system(blog.acolyer.org)
4 points by mrry 11y ago|0 comments
119.
A bridging model for parallel computation(blog.acolyer.org)
1 points by mrry 11y ago|0 comments
120.
GraphX: Graph Processing in a Distributed Dataflow Framework(blog.acolyer.org)
1 points by mrry 11y ago|0 comments

More ›