Readings in Database Systems (5th Edition) (2015)
11–20 of 22 posts
Re: Readings in Database Systems (5th Edition) (2015)
#12Oh well... https://ibb.co/BVrzQRWH
Peek: Readings in Database Systems (commonly known as the "Red Book") has offered readers an opinionated take on both classic and cutting-edge research in the field of data management since 1988. Here, we present the Fifth Edition of the Red Book — the first in over ten years. CHAPTERS Preface [HTML] [PDF] Background introduced by Michael Stonebraker [HTML] [PDF] Traditional RDBMS Systems introduced by Michael Stoneb…
Re: Readings in Database Systems (5th Edition) (2015)
#13Some might argue the Red Book to be “NSA Trusted Networks” a.k.a the ugly red book that won't fit on the shelf.
Crash & Burn <3
Re: Readings in Database Systems (5th Edition) (2015)
#14Before spidering the site for offline reading, be aware: “Rather than secure rights to the recommended papers, we have simply provided links to Google Scholar searches that should help the reader locate the relevant papers.”
Why not to Scihub?
1. You do not talk about Sci-Hub.
2. You do NOT talk about Sci-Hub.
3. If a download says "Stop," goes limp,
or taps out, that download is over.
4. Only two tries per mirror.
5. One download at a time.
6. Shirt and shoes optional.
7. Downloads will continue until publicly funded
research is widely distributed.
8. If this is your first time at Sci-Hub, you
have to download something interesting,
actually read at least part of it, learn
something, and then fight ignorance and/or
stupidity with it.Re: Readings in Database Systems (5th Edition) (2015)
#15- Vector databases and hybrid search?
- Object storage for all the things? Lake houses. Parquet and beyond.
- Continuously materialized views? I'm not sure this one has made the splash but I think about Naiad (Materialize) and Noria (Readyset)
- NewSQL went mostly mainstream (Spanner wasn't included in the last one, but there's been more here with things like CockroachDB, TiDB, etc)
Re: Readings in Database Systems (5th Edition) (2015)
#16About time for the 6th Edition, eh? What would folks include in it? - Vector databases and hybrid search? - Object storage for all the things? Lake houses. Parquet and beyond. - Continuously materialized views? I'm not sure this one has made the splash but I think about Naiad (Materialize) and Noria (Readyset) - NewSQL went mostly mainstream (Spanner wasn't included in the last one, but there's been more here with th…
Re: Readings in Database Systems (5th Edition) (2015)
#17redbook.io huh? Some might argue the Red Book to be “NSA Trusted Networks” a.k.a the ugly red book that won't fit on the shelf. Crash & Burn <3
Re: Readings in Database Systems (5th Edition) (2015)
#18About time for the 6th Edition, eh? What would folks include in it? - Vector databases and hybrid search? - Object storage for all the things? Lake houses. Parquet and beyond. - Continuously materialized views? I'm not sure this one has made the splash but I think about Naiad (Materialize) and Noria (Readyset) - NewSQL went mostly mainstream (Spanner wasn't included in the last one, but there's been more here with th…
Parquet, Iceberg, and other open formats seem good, but they may hit a complexity wall. There's already some inconsistency between platforms, eg with delete vectors.
Incremental view maintenance interests me as well, and I would like to see it more available on different platforms. It's ironic that people use dbt etc. to test every little edit of their manually coded delta pipelines, but don't look at IVM.
Re: Readings in Database Systems (5th Edition) (2015)
#19Re: Readings in Database Systems (5th Edition) (2015)
#20About time for the 6th Edition, eh? What would folks include in it? - Vector databases and hybrid search? - Object storage for all the things? Lake houses. Parquet and beyond. - Continuously materialized views? I'm not sure this one has made the splash but I think about Naiad (Materialize) and Noria (Readyset) - NewSQL went mostly mainstream (Spanner wasn't included in the last one, but there's been more here with th…
Not only D4M can cater for structured relational data, it's also suitable for non-structured and sparse data in spreadsheet, matrices and graph. It's essentially a generalization of SQL but for all things data.
There's also integration of D4M with SciDB [3].
[1] D4M: Dynamic Distributed Dimensional Data Model:
[2] GraphQL:
[3] D4M: Bringing associative arrays to database engines: