<>.
I ❤ Logs : Apache Kafka and Real-time Data Integration /
This webcast talk will discuss how logs and stream-processing can form a backbone for data flow, ETL, and real-time data processing. It will describe the challenges and lessons learned as LinkedIn built out its real-time data subscription and processing infrastructure. It will also discuss the role...
Autor principal: | |
---|---|
Autor Corporativo: | |
Formato: | Electrónico Video |
Idioma: | Inglés |
Publicado: |
[Place of publication not identified] :
O'Reilly Media, Incorporated,
2014.
|
Edición: | 1st edition. |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
LEADER | 00000cgm a22000007i 4500 | ||
---|---|---|---|
001 | OR_on1228510150 | ||
003 | OCoLC | ||
005 | 20231017213018.0 | ||
006 | m o c | ||
007 | cr cn||||||||| | ||
007 | vz czazuu | ||
008 | 150614s2014 xx 051 e o vleng d | ||
040 | |a TOH |b eng |c TOH |d OCLCO |d NZCPL |d OCLCF |d OCLCQ |d OCLCO |d OCLCQ | ||
066 | |c Zsym | ||
019 | |a 1232115558 |a 1305899366 | ||
020 | |a 9781491908310 | ||
020 | |a 1491908319 | ||
024 | 8 | |a 9781491908310 | |
029 | 1 | |a AU@ |b 000071521333 | |
029 | 1 | |a AU@ |b 000067117133 | |
035 | |a (OCoLC)1228510150 |z (OCoLC)1232115558 |z (OCoLC)1305899366 | ||
049 | |a UAMI | ||
100 | 1 | |a Kreps, Jay, |e author. | |
245 | 0 | 0 | |6 880-01 |a <>. |
250 | |a 1st edition. | ||
264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, Incorporated, |c 2014. | |
300 | |a 1 online resource (1 video file, approximately 51 min.) | ||
336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a video file | ||
365 | |b 99.99 | ||
520 | |a This webcast talk will discuss how logs and stream-processing can form a backbone for data flow, ETL, and real-time data processing. It will describe the challenges and lessons learned as LinkedIn built out its real-time data subscription and processing infrastructure. It will also discuss the role of real-time processing and its relationship to offline processing frameworks such as MapReduce. | ||
542 | |f Copyright © O'Reilly Media, Incorporated. | ||
550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
588 | 0 | |a Online resource; Title from title screen (viewed June 12, 2014). | |
590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
710 | 2 | |a O'Reilly for Higher Education (Firm), |e distributor. | |
710 | 2 | |a Safari, an O'Reilly Media Company. | |
856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781491908310/?ar |z Texto completo (Requiere registro previo con correo institucional) |
880 | 1 | 0 | |6 245-01/Zsym |a I ❤ Logs : |b Apache Kafka and Real-time Data Integration / |c Kreps, Jay. |
936 | |a BATCHLOAD | ||
994 | |a 92 |b IZTAP |