11 Matching Annotations
  1. Nov 2022
  2. Jul 2022
    1. Scalability: Cosmos DB is horizontally scalable to support hundreds of millions of reads and writes per second

      Since it is a Platform as a Service, it isolates the configuration required to perform scaling from the users, allowing them to focus on their data manipulation.

    2. replicated

      so they said replicated, not fragmented.

  3. Apr 2022
    1. Traditional one-off pentesting rarely focuses on speed, automation and agility, leading to delays in the release cycle and more. To keep up with modern technology and business security practices, pentesting has begun evolving into Pentest as a Service (PtaaS)

      What tools are relevant here?

  4. Mar 2022
    1. take an action that helps them to achieve something

      Take action such as remediating a vulnerability

    2. Maybe they can see some important information

      Such as a metric.

    1. Type

      Is Type here a column on both tables or is it a SQL keyword? And why is it not one of the columns selected on the Supplier table?

    1. The FULL OUTER JOIN keyword returns all matching records from both tables whether the other table matches or not. So, if there are rows in "Customers" that do not have matches in "Orders", or if there are rows in "Orders" that do not have matches in "Customers", those rows will be listed as well

      So this makes it so that there are no duplications since matches for one part of the joining. The other two parts are:

      • data from table1 not matching
      • data from table2 not matching
    1. MS Access uses an asterisk (*) instead of the percent sign (%), and a question mark (?) instead of the underscore (_)

      This is as is obtainable in Linux.

    1. VALUES ('Lars','Monsen')

      Since we're not inserting any Age here, this means the value for Age against this record will be null