|
|
|
|
LEADER |
00000cam a22000007i 4500 |
001 |
OR_on1354557008 |
003 |
OCoLC |
005 |
20231017213018.0 |
006 |
m o d |
007 |
cr cnu---unuuu |
008 |
221213s2022 ncua ob 000 0 eng d |
040 |
|
|
|a ORMDA
|b eng
|e rda
|e pn
|c ORMDA
|d UKAHL
|d YDXIT
|d OCLCO
|
020 |
|
|
|a 9798888650073
|q electronic book
|
020 |
|
|
|z 9781680508406
|
020 |
|
|
|z 1680508407
|
029 |
1 |
|
|a AU@
|b 000073244387
|
035 |
|
|
|a (OCoLC)1354557008
|
037 |
|
|
|a 9798888650059
|b O'Reilly Media
|
050 |
|
4 |
|a QA76.62
|b .H35 2022
|
050 |
|
4 |
|a QA166
|b .H35 2022
|
082 |
0 |
4 |
|a 005.74
|2 23/eng/20221213
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Hammond, Tony,
|e author.
|
245 |
1 |
0 |
|a Exploring graphs with Elixir :
|b connect data with native graph libraries and graph databases /
|c Tony Hammond.
|
264 |
|
1 |
|a Raleigh, N.C. :
|b The Pragmatic Bookshelf,
|c [2022]
|
300 |
|
|
|a 1 online resource (1 volume) :
|b illustrations
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
490 |
1 |
|
|a The pragmatic programmers
|
504 |
|
|
|a Includes bibliographical references.
|
520 |
|
|
|a Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks. Learn how different graph models can be accessed and used from within Elixir and how you can build a robust semantics overlay on top of graph data structures. We'll start from the basics and examine the main graph paradigms. Get ready to embrace the world of connected data! Graphs provide an intuitive and highly flexible means for organizing and querying huge amounts of loosely coupled data items. These data networks, or graphs in math speak, are typically stored and queried using graph databases. Elixir, with its noted support for fault tolerance and concurrency, stands out as a language eminently suited to processing sparsely connected and distributed datasets. Using Elixir and graph-aware packages in the Elixir ecosystem, you'll easily be able to fit your data to graphs and networks, and gain new information insights. Build a testbed app for comparing native graph data with external graph databases. Develop a set of applications under a single umbrella app to drill down into graph structures. Build graph models in Elixir, and query graph databases of various stripes - using Cypher and Gremlin with property graphs and SPARQL with RDF graphs. Transform data from one graph modeling regime to another. Understand why property graphs are especially good at graph traversal problems, while RDF graphs shine at integrating different semantic models and can scale up to web proportions. Harness the outstanding power of concurrent processing in Elixir to work with distributed graph datasets and manage data at scale.
|
588 |
|
|
|a Description based on online resource; title from digital title page (viewed on January 31, 2023).
|
590 |
|
|
|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Elixir (Computer program language)
|
650 |
|
0 |
|a Graph theory
|x Data processing.
|
650 |
|
6 |
|a Elixir (Langage de programmation)
|
650 |
|
7 |
|a Elixir (Computer program language)
|2 fast
|
650 |
|
7 |
|a Graph theory
|x Data processing
|2 fast
|
776 |
0 |
8 |
|i Print version:
|a Hammond, Tony.
|t Exploring graphs with Elixir.
|d Raleigh : The Pragmatic Bookshelf, 2022
|z 9781680508406
|w (OCoLC)1289270923
|
830 |
|
0 |
|a Pragmatic programmers.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9798888650059/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
938 |
|
|
|a Askews and Holts Library Services
|b ASKH
|n AH41058031
|
994 |
|
|
|a 92
|b IZTAP
|