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doppelganger1

HN member
Joined
Tue, Nov 16, 2021, 11:02 AM UTC
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9
Public activity
11 items

About doppelganger1

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Recent public activity

  1. comment
    Comment #29307656

    Hadoop was built on the notion that commodity hardware, when pooled together, can be extremely cheap and powerful. The problem is, to manage it, is a nightmare. Cloudera/HWX and ot…

  2. comment
    Comment #29268242

    Actually, you would expect that in an OLTP world. DW's for the longest time, even Oracle, recommends you disable txn to get better performance. The logic is implemented in the ETL …

  3. comment
    Comment #29268162

    What about my comment above is pro-Databricks? Snowflake works the same way. So do most large scale DW insert Exadata, Netezza, etc... Does anyone else notice people questioning co…

  4. comment
    Comment #29239399

    Also, if a sales rep or manager are struggling to make their numbers, they will audit customers.

  5. comment
    Comment #29239361

    What I find comical is they accuse Databricks of lacking integrity but they don’t actually call out anything except their benchmark was faster than what Databricks did in Snowflake…

  6. comment
    Comment #29239307

    Have you ever tried to train models on large data sets over JDBC/ODBC? it’s terrible even with parallelism. Having direct access to the underlying storage and being able to bypass …

  7. comment
    Comment #29239285

    Big Query&Data Proc, Redshift&EMR, Synapse&HDR are tied to the cloud vendors. You can’t move easily from AWS stack to GCP without refactoring. Switching costs are higher. Snowflake…

  8. comment
    Comment #29239226

    SF spreads a lot of FUD saying that DB can’t perform, and it was true. DB then went out and hired a lot of engineering talent with a diverse background and has been investing a lot…

  9. comment
    Comment #29239198

    The first thing unbreakable Linux did was break.

  10. comment
    Comment #29239189

    Oracle Exadata is very fast but expensive. I bet it would beat a similarly sized cluster from these 2 vendors. The problem is price to performance and elasticity. Because DB and SF…

  11. comment
    Comment #29239154

    The larger your data, the more that indexing and maintaining them hurt you. This is why they do much better at larger datasets vs small data sets. It’s all about trade offs. To ove…