tristanz

12 ms·

61.
by tristanz 11y ago
No. They're basically totally unrelated despite the name. GraphQL is a way to build and query a typed API that exposes nested resources. It's an alternative to REST. There is no graph computation happening. I'd view it a
62.
by tristanz 11y ago
Where is this documented?
63.
by tristanz 11y ago
Interesting comment on that article by Siddharth Agarwal: "(I work on source control at Facebook.) Every problem you mentioned with monolithic repositories is a well-known problem with Git (though some of them do have workarounds, such
64.
On Monolithic Repositories(gregoryszorc.com)
84 points by tristanz 11y ago|72 comments
65.
by tristanz 11y ago
Sense - https://sense.io - San Francisco (SOMA) We're building a next-generation platform for data science. We're looking for a backend engineer to help build and scale our data science infrastructure. This is the per
66.
by tristanz 11y ago
Are there any plans to release the Relay (client side) component of this?
67.
by tristanz 11y ago
The web components spec is starting to look like a huge mess in comparison with modern JS framework component models. I think it's unlikely web components will much traction as a first tier approach to application development.
68.
by tristanz 11y ago
Very necessary. A few questions: - How big can records be? Are they stored as a single object in the persistence layer or using something like materialized paths. The firebase data model is one huge JSON structure, so this looks differen
69.
by tristanz 11y ago
They are competitors, but life isn't simple. The reality is many frameworks currently only run on Mesos or YARN, and Kubernetes has not reached V1, so larger installations typically need multiple frameworks. Mesos is a proven way to r
70.
by tristanz 11y ago
Sense - San Francisco - https://sense.io - VP of Engineering We’re building a cloud data science platform to power the future of science and business. We're a VC-backed seed stage company and are working with some of the l
71.
by tristanz 11y ago
The problem with this is there is no way to replay the log when clients connect without replaying the whole topic, which can be huge.
72.
by tristanz 11y ago
Yeah, this is a good way to look at it. But it's also my point. Partitions are about parallelism and don't always fit the data model or domain. While you can reduce the partitions to 1, this is limits parallelism. It's no
73.
by tristanz 11y ago
Martin's talks and blog posts are aways awesome. I'm really excited to see how this plays out for real applications. The one thing I'm always somewhat confused by though is how a "totally ordered log" intersects wi
74.
by tristanz 11y ago
Can somebody explain to me the underlying theory of this type of book? The only books that have ever felt coherent to me start with p(data, unknown) as being an approximate model of some domain. Everything then follows smoothly as inferenc
75.
by tristanz 12y ago
I'd love to see an easy to manage version for containerized cloud stacks like Kubernetes and Mesos. I think the AWS move here validates that NFS is still an ok pattern to use for some applications. I've had mixed experiences with
76.
by tristanz 12y ago
Are there any more details on how Google is designing these new API endpoints? The information here is pretty sparse. It seems like a big strategic initiative to unify API design though.
77.
Data Pipelines – The Second Step of an Effective Data Strategy(blog.sense.io)
3 points by tristanz 12y ago|0 comments
78.
by tristanz 12y ago
You can upload small to medium files directly into your project, which lives on a distributed filesystem. For larger data, we typically recommend pulling data directly from S3 or production databases.
79.
by tristanz 12y ago
SAS is the huge incumbent, but open source tools like R and Spark and cloud-centric platforms are going to win, no question. We're already well into this transition and tools like Sense should accelerate it.
80.
by tristanz 12y ago
Sorry about that! We just got a huge spike in traffic from HN and VentureBeat so are trying to handle the demand.
81.
by tristanz 12y ago
Hey all. We just opened up Sense to the public. Happy to answer any questions you may have about Sense and building a modern data science platform. Tristan
82.
Introducing Sense – A Next-Generation Platform for Data Science(blog.sense.io)
81 points by tristanz 12y ago|25 comments
83.
by tristanz 12y ago
Sense - Modern Platform for Data Science - San Francisco -- https://sense.io We're building a modern platform for data science -- a platform to help find new cures for diseases, build intelligent systems, and accelerate the
84.
by tristanz 12y ago
Simple examples looks fine, but try a setup where you have dozens of environmental variables being set, data volume-containers that need to match the lifecycle of the main container, pulling images that don't exist, ambassadors contain
85.
by tristanz 12y ago
In my experience it works, but is a mess. You end up with really crazy unit files that aren't actually managing the docker daemon, they're managing the docker client. CoreOS created Rocket in part because the match between docker
86.
by tristanz 12y ago
This architecture seems great for analytics apps, but when expanded beyond that (e.g., Pete Hunt's Full Stack Flux talk) I never see explanations of basic patterns like validation. Where does validation happen and how are errors sent
87.
Facebook Fixed Data Table: A React component for building and presenting data(facebook.github.io)
3 points by tristanz 12y ago|0 comments
88.
by tristanz 12y ago
How do you handle disconnects and missed messages? What's required to make this a robust sync solution, including syncing the first query and then changes, akin to Firebase? Are there plans to support direct access from web clients a
89.
by tristanz 12y ago
Almost all the evidence is based on lotteries and addresses attrition. Expelling bad students is a potential problem, but students are tracked across schools. Some students are lost, of course. However, the evidence in the KIPP study show
90.
by tristanz 12y ago
Most of the lottery evidence suggests that the gains from charter schools are largest for students that that are more disadvantaged (limited english, learning disabilities, and low initial test scores). So while these studies only give cau

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