Franklin
Staff View
LEADER 02176ngm a22003373i 4500
005
20200205103731.0
006
m c
007
cr cna a
008
200121s2018 cau060 o o vleng d
001
9977470607903681
035
a| LDC9977470607903681
035
a| (LDC)LDC699345
040
a| linkedin.com
b| eng
050
4
a| LDC699345
100
1
a| Ponnambalam, Kumaran
e| speaker.
245
1
0
a| Data Science on Google Cloud Platform: Designing Data Warehouses/
c| with Kumaran Ponnambalam.
264
1
a| Carpenteria, CA::
b| linkedin.com,
c| 2018.
300
a| 1 online resource
306
a| 01h:00m:21s
336
a| two-dimensional moving image
b| tdi
2| rdacontent
337
a| computer
2| rdamedia
338
a| online resource
2| rdacarrier
500
a| 9/07/20181
506
a| Restricted for use by site license.
520
a| Learn how to design and build data warehouses using Google Cloud Platform solutions such as BigQuery.
511
1
a| Presenter: Kumaran Ponnambalam
520
a| Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise in the major platforms, such as Google Cloud Platform (GCP), is essential to the IT professional. This course?one of a series by veteran cloud engineering specialist and data scientist Kumaran Ponnambalam?shows how to design and build data warehouses using GCP. Explore the different types of storage options available in GCP for files, relational data, documents, and big data, including Cloud SQL, Cloud Bigtable, and Cloud BigQuery. Then learn how to use one solution, BigQuery, to perform data storage and query operations, and review advanced use cases, such as working with partition tables and external data sources. Finally, learn best practices for table design, storage and query optimization, and monitoring of data warehouses in BigQuery.
538
a| Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
655
4
a| Instructional films.
2| lcgft
655
4
a| Educational films.
2| lcgft
710
2
a| linkedin.com (Firm)