TY  - ART
AU  - Bacvanski,Vladimir
AU  - Stryker,Ruth
AU  - Shapira,Gwen
AU  - Nathan,Paco
AU  - Lorica,Ben
AU  - Brown,Kurt
AU  - Yang,Fangjin
AU  - Ogievetsky,Vadim
AU  - Maden,Anil
AU  - Kleppmann,Martin
AU  - Eslick,Ian
AU  - Carnahan,John
AU  - Braeger,Matthias
AU  - Devgan,Manish
AU  - Abbott,Michael
AU  - Grover,Mark
AU  - Malaska,Ted
AU  - Seidman,Jonathan
AU  - McFadin,Patrick
ED  - Safari eBooks.
TI  - Learning path: Architect and build big data applications
AV  - QA76.9.B45 
PY  - 2015///
CY  - [Place of publication not identified]
PB  - O'Reilly Media
KW  - Apache (Computer file : Apache Group)
KW  - Apache Cassandra
KW  - Apache Kafka
KW  - Spark (Electronic resource : Apache Software Foundation)
KW  - Time series package
KW  - Big data
KW  - Application software
KW  - Electronic books
KW  - local
N1  - Title from resource description page (Safari, viewed March 14, 2016 ); Learning big data and NOSQL / [by Vladimir Bacvanski] -- Learning Apache Cassandra / [by Ruth Stryker] -- Introduction to Apache Kafka / with Gwen Shapira -- Introduction to Apache Spark / with Paco Nathan -- [Building big data platforms / with Ben Lorica, Kurt Brown, Fangjin Yang, Vadim Ogievetsky, Anil Maden, Martin Kleppmann, Ian Eslick, John Carnahan, Matthias Braeger, Manish Devgan, Michael Abbott] -- Architectural considerations for Hadoop applications / with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira -- An introduction to Time Series with Team Apache / with Patrick McFadin; Presenters, Vladimir Bacvanski, Ruth Stryker, Gwen Shapira, Paco Nathan, Ben Lorica, Kurt Brown, Fangjin Yang, Vadim Ogievetsky, Anil Maden, Martin Kleppmann, Ian Eslick, John Carnahan, Matthias Braeger, Manish Devgan, Michael Abbott, Mark Grover, Ted Malaska, Jonathan Seidman, Patrick McFadin
N2  - "With datasets growing increasingly large, the need for custom data solutions has soared as well. This Learning Path will take you through the entire process of designing and building data applications that can visualize, navigate, and interpret reams of data. Get a thorough introduction to the most important tools in the big data ecosystem."--Resource description page
UR  - http://ezproxy.alfaisal.edu/login?url=http://academic.safaribooksonline.com/?uiCode=sdl&xmlId=9781491958124
ER  -