Shreyansh Gupta

@_backslashzero

💻 Software Engineer • Sharing my learnings

123 Following35 Followers136 Posts
  1. Shreyansh Gupta@_backslashzero
    #TIL about #AWS data exchange that can be used to subscribe and make use of third party datasets in #Amazon Redshift.
    000121
  2. Shreyansh Gupta@_backslashzero
    #TIL that we can view query by query analysis for every query that has run on #AWS Redshift including execution plans.
    000135
  3. Shreyansh Gupta@_backslashzero
    #TIL about the different migration strategies that we can use to migration from one #database to another. 1. One step migration 2. Two steps migration 3. Iterative migration
    000117
  4. Shreyansh Gupta@_backslashzero
    #TIL about #AWS SCT that can be used to convert the schema for a source database to any supported database that is hosted on AWS.
    00068
  5. Shreyansh Gupta@_backslashzero
    #TIL about #AWS Snow family devices that include physical devices shipped to your place. These can be used to ship data in and out of AWS.
    00058
  6. Shreyansh Gupta@_backslashzero
    #TIL about DDM that allows us to dynamically mask PII while querying data in #AWS Redshift.
    00052
  7. Shreyansh Gupta@_backslashzero
    #TIL that we can use current_namespace system variable in the view definition to create multi tenant views in #AWS Redshift.
    00049
  8. Shreyansh Gupta@_backslashzero
    #TIL that #SQL queries in modern databases can, in fact, use multiple indexes contrary to what I had earlier believed.
    00052
  9. Shreyansh Gupta@_backslashzero
    #TIL that we can use the recluster option during VACUUM operation in #AWS Redshift to sort the unsorted table portions without merging the data with the automatically sorted portions of the table.
    10060
  10. Shreyansh Gupta@_backslashzero
    Posts @_backslashzero
    VACUUM recluster option in #AWS Redshift can be useful if our queries access only the most recent data.
    00053
  11. Shreyansh Gupta@_backslashzero
    #TIL that #AWS Redshift automatically converts queries to use MVs if an appropriate MV is present that can respond to the query.
    10053
  12. Shreyansh Gupta@_backslashzero
    Posts @_backslashzero
    #AWS Redshift will even go as far as automatically creating MVs based on query patterns using the AutoMV feature.
    00045
  13. Shreyansh Gupta@_backslashzero
    #TIL about WLM in #AWS Redshift and how you can use queues, QMR along with catalog tables to optimize your workloads.
    00050
  14. Shreyansh Gupta@_backslashzero
    #TIL about concurrency scaling in #AWS Redshift and how it scales workgroups automatically to meet the change in the workloads.
    00054
  15. Shreyansh Gupta@_backslashzero
    #DoYouKnow That #AWS Redshift uses ATO (Automatic table optimization) to automatically optimize the tables by configuring sort keys, dist keys and encoding when the table is created with the AUTO option.
    00066
  16. Shreyansh Gupta@_backslashzero
    #TIL You can use Redshift ML to train and use ML models using familiar #SQL commands. No need to learn new tools.
    00072
  17. Shreyansh Gupta@_backslashzero
    #TIL about tool calling in architectures of #AI applications. The possibilities that this feature opens up are amazing.
    00077
  18. Shreyansh Gupta@_backslashzero
    #TIL The SQL Row values syntax can also be used in the WHERE clauses. It is most commonly seen in the INSERT statements. Check out the usage here - #SQL #Databases
    Download
    001106
  19. Shreyansh Gupta@_backslashzero
    #DoYouKnow Ensuring that the database executes the query in a pipelined manner is more important than a fast execution! Read more here - #SQL #Databases
    00172
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