AWS Snowball User Guide
isn't frequently requested, CloudFront might evict the object (remove the object
before its expiration date) to make room for objects that are more popular.
exbibyte A contraction of exa binary byte, an exbibyte is 2^60 or
1,152,921,504,606,846,976 bytes. An exabyte (EB) is 10^18 or
1,000,000,000,000,000,000 bytes. 1,024 EiB is a zebibyte (p. 159).
expiration For CloudFront (p. 110) caching, the time when CloudFront stops responding
to user requests with an object. If you don't use headers or CloudFront
distribution (p. 128) settings to specify how long you want objects to stay in
an edge location (p. 130), the objects expire after 24 hours. The next time a
user requests an object that has expired, CloudFront forwards the request to the
origin (p. 143).
explicit launch permission An Amazon Machine Image (AMI) (p. 112) launch permission granted to a
specific AWS account (p. 109).
exponential backoff A strategy that incrementally increases the wait between retry attempts in order
to reduce the load on the system and increase the likelihood that repeated
requests will succeed. For example, client applications might wait up to 400
milliseconds before attempting the first retry, up to 1600 milliseconds before the
second, up to 6400 milliseconds (6.4 seconds) before the third, and so on.
expression Amazon CloudSearch (p. 110): A numeric expression that you can use to control
how search hits are sorted. You can construct Amazon CloudSearch expressions
using numeric fields, other rank expressions, a document's default relevance
score, and standard numeric operators and functions. When you use the sort
option to specify an expression in a search request, the expression is evaluated for
each search hit and the hits are listed according to their expression values.
extract, transform, and load
(ETL)
A process that is used to integrate data from multiple sources. Data is collected
from sources (extract), converted to an appropriate format (transform), and
written to a target data store (load) for purposes of analysis and querying.
ETL tools combine these three functions to consolidate and move data from one
environment to another. AWS Glue (p. 118) is a fully managed ETL service for
discovering and organizing data, transforming it, and making it available for
search and analytics.
F
Numbers and Symbols (p. 108) | A (p. 108) | B (p. 121) | C (p. 122) | D (p. 126) | E (p. 129) | F (p. 132) |
G (p. 133) | H (p. 134) | I (p. 135) | J (p. 137) | K (p. 137) | L (p. 138) | M (p. 139) | N (p. 141) | O (p. 142)
| P (p. 143) | Q (p. 146) | R (p. 146) | S (p. 149) | T (p. 155) | U (p. 157) | V (p. 158) | W (p. 159) | X, Y,
Z (p. 159)
facet Amazon CloudSearch (p. 110): An index field that represents a category that you
want to use to refine and filter search results.
facet enabled Amazon CloudSearch (p. 110): An index field option that enables facet
information to be calculated for the field.
FBL See feedback loop.
feature transformation Amazon Machine Learning: The machine learning process of constructing more
predictive input representations or “features” from the raw input variables to
optimize a machine learning model’s ability to learn and generalize. Also known
as data transformation or feature engineering.
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