Cargando…
Using Flume : integrating Flume with Hadoop, HBase and Spark /
"In this webcast, Hari Shreedharan, the author of Using Flume will discuss how to use Flume to write data to HDFS, HBase and Spark. Hari will discuss strategies or partitioning and serializing the data in formats friendly with other systems. Flume can also be used to feed Spark Streaming to pro...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
[2015]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cgm a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | OR_ocn914797084 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
| 007 | cr cna|||||||| | ||
| 007 | vz czazuu | ||
| 008 | 150728s2015 xx 057 o vleng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d OCLCF |d UAB |d TOH |d OCLCO | ||
| 035 | |a (OCoLC)914797084 | ||
| 037 | |a CL0500000621 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.D5 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Shreedharan, Hari, |e speaker. | |
| 245 | 1 | 0 | |a Using Flume : |b integrating Flume with Hadoop, HBase and Spark / |c with Hari Shreedharan. |
| 246 | 3 | 0 | |a Integrating Flume with Hadoop, HBase and Spark |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c [2015] | |
| 300 | |a 1 online resource (1 streaming video file (56 min., 12 sec.)) : |b digital, sound, color. | ||
| 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 | ||
| 500 | |a Title from title screen (viewed July 21, 2015) | ||
| 500 | |a Date of publication taken from resource description page. | ||
| 511 | 0 | |a Presenter, Hari Shreedharan. | |
| 520 | |a "In this webcast, Hari Shreedharan, the author of Using Flume will discuss how to use Flume to write data to HDFS, HBase and Spark. Hari will discuss strategies or partitioning and serializing the data in formats friendly with other systems. Flume can also be used to feed Spark Streaming to process data in real-time which we be shown in a demo at the end of the webcast."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a Apache Hadoop. |
| 630 | 0 | 0 | |a Spark (Electronic resource : Apache Software Foundation) |
| 630 | 0 | 7 | |a Apache Hadoop. |2 fast |0 (OCoLC)fst01911570 |
| 630 | 0 | 7 | |a Spark (Electronic resource : Apache Software Foundation) |2 fast |0 (OCoLC)fst01938143 |
| 650 | 0 | |a Electronic data processing |x Distributed processing. | |
| 650 | 6 | |a Traitement réparti. | |
| 650 | 7 | |a Electronic data processing |x Distributed processing. |2 fast |0 (OCoLC)fst00906987 | |
| 655 | 4 | |a Electronic videos. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781491934609/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||