Shelnutt2

10 ms·

31.
by Shelnutt2 6y ago
Disclaimer: I'm a member of the TileDB team. > embedded, immutable, syncable relational database. TileDB Embedded ( https://github.com/TileDB-Inc/TileDB ) checks all four of these boxes. It is a universal storage
32.
by Shelnutt2 6y ago
Millimeter wave frequencies are just one aspect of "5G", the standard of 3GPP Release 15 (and newer) are improvements and build off the existing standards of LTE (releases 8-14). Its quite possible, and likely that "5G"
33.
by Shelnutt2 6y ago
Yes this looks like a workable problem. We've reached out to their support. I'm seeing if I refresh the page 4-5 times I get it to finally load. Apologize for the inconvenience!
34.
by Shelnutt2 6y ago
We are also looking for several geospatial/geoscience positions including a PostgreSQL developer to take advantage of pluggable storage for PostGIS usage with TileDB.
35.
by Shelnutt2 6y ago
The 4a is looking nice, especially at the price point and for a "stock" android experience. I've started looking for a replacement to my Essential PH-1 since my USB port is getting very loose, and charging is becoming diffic
36.
by Shelnutt2 6y ago
TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com TileDB, Inc. is the company behind TileDB, the first universal data engine. TileDB allows analytics professionals and data scientists to access, analyze, and
37.
by Shelnutt2 6y ago
I agree that many use cases of sparse data, uniqueness of the dimensions can't be guaranteed or you might not want to enforce the uniqueness. With the recent TileDB 2.0 release we introduced support for duplicates in sparse arrays whic
38.
by Shelnutt2 6y ago
Seth from TileDB here. There are several differences from Redis or S3. Redis is primarily a in-memory key-value store. There is an option for persistence but it's not primarily designed for persisting data. TileDB is designed first and
39.
by Shelnutt2 6y ago
Seth from TileDB here. Thanks for reporting this, we've fixed the incorrect link.
40.
by Shelnutt2 6y ago
TileDB is designed around supporting multiple compressors or filters. We have architected the code so that we can add different filters as we find use cases or customer requests. Currently we support compressors such as gzip, bzip2, zstd, l
41.
by Shelnutt2 6y ago
Time series data can vary and I'd agree that most time series is immutable. There are however use cases in which updates can happen. For instance, at my previous job before TileDB Inc, we had a case where 99% of our data was immutable
42.
by Shelnutt2 6y ago
Please see my comment above in the thread for a full description of TileDB[1]. Compared to Apache Arrow we have some similarities but also some significant differences. Arrow as a project has many components, the most directly comparable ar
43.
by Shelnutt2 6y ago
Seth from TileDB here. The foundational invention is the TileDB universal storage engine based on dense and sparse multi-dimensional arrays. Genomic variants are 2D sparse arrays. Images and video are dense arrays. KV are interestingly spar
44.
by Shelnutt2 6y ago
You can certainly store ML models in TileDB. I've been working on an example notebook showing how to store an opencv model in TileDB, its not quite finished yet but will be published soon. Using python as an example language, TileDB-Py
45.
NetApp to Acquire Spot.io for $450M(calcalistech.com)
5 points by Shelnutt2 6y ago|0 comments
46.
by Shelnutt2 6y ago
I've never heard of dbml before, seems like its been out for about a year. I'm always interested in managing schemas in a db-agnostic fashion. Seems like overtime everything always devolves into db specific schemas (spatial indexe
47.
by Shelnutt2 6y ago
Please see my response here: https://news.ycombinator.com/item?id=23117117
48.
by Shelnutt2 6y ago
Disclosure: I am a member of the TileDB team. Several important concepts are being conflated here, so I'll elaborate on each separately. S3 eventual consistency: TileDB is fully aware and designed around the eventual consistency guaran
49.
by Shelnutt2 6y ago
Disclosure: I am a member of the TileDB team. Iceberg, similar to Delta Lake, is another layer you have to add on top of Parquet, which limits your mobility of compute. You can currently use it either with Spark or Presto, but not directly
50.
by Shelnutt2 6y ago
Disclosure: I am a member of the TileDB team. TileDB fully supports multi-writer/multi-reader, so scaling compute to multiple nodes is mostly about choosing the computation layer. We have integrations with Spark, Dask and PrestoDB for
51.
by Shelnutt2 6y ago
Disclosure: I am a member of the TileDB team. Yes you are correct, TileDB introduces a storage format, but is also a full-fledged storage engine that implements it. Having the complete storage engine is what allows us to make accessing the
52.
by Shelnutt2 6y ago
Disclosure: I am a member of the TileDB team. TileDB is designed primarily for persistent storage, similar to HDF5, Zarr and Parquet. TileDB is a cloud-optimized, dense and sparse multi-dimensional array storage engine, which is broader tha
53.
Amtrak Cancels Acela Service Due To COVID-19(usatoday.com)
2 points by Shelnutt2 7y ago|0 comments
54.
by Shelnutt2 7y ago
Another option to consider here is storing your data in TileDB[1] which allows you to access it via Python/Pandas, MariaDB for SQL (embeddable or standalone), Spark, R and more. With embedded MariaDB[2] you can query directly into pand
55.
by Shelnutt2 7y ago
TileDB can handle most of your requirements today and we are working on the "row id labels" which we call axes labels[1]. We are looking to get axes labels support completed in the next 2-3 months. TileDB supports fixed size and v
56.
by Shelnutt2 7y ago
TileDB is more than a format. At its core, it is an engine that allows you to store and access multi-dimensional arrays (dense and sparse) very fast. Similar to Parquet, its sparse array support can capture dataframes[1]. It is more general
57.
by Shelnutt2 7y ago
TileDB[1] offers an embedded SQL experience for python[2]. We use MariaDB built in embedded mode to allow running sql against TileDB Arrays. This can be combined with pandas.read_sql to load the results directly into a pandas array. I wrote
58.
A year since Proton's launch(codeweavers.com)
3 points by Shelnutt2 7y ago|0 comments
59.
DOJ formally OKs Dish deal to enable Sprint/T-Mobile merger(seekingalpha.com)
1 points by Shelnutt2 7y ago|0 comments
60.
by Shelnutt2 7y ago
There is also the fact that the social security card is a flimsy piece of paper, not plastic or other more durable material. Even just getting social security cards on plastic would be an improvement for something you are expected to keep a

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