CLOUD.ACADEMY.OPTIMIZING.GOOGLE.BIGQUERY-STM
NFO
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.:PROUDLY PRESENTS:.
Cloud Academy Optimizing Google BigQuery
Release Date.: 06-09-2019
Type.: Bookware
Disks.: 29x15mb
Link.: https://cloudacademy.com
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▐█████▓▓▌ Release Notes ▐▓▓█████▌
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BigQuery is Google'sáincredibly fast, secure, and
surprisingly inexpensive data warehouse, but there are ways
to make it even faster, cheaper, and more secure.
Here are some examples of what you will learn in this course:
BigQuery can process billions of rows in seconds, but only
if you break the rules of relational database design.
If you are analyzing relatively small amounts of data, then
your queries wonÆt cost very much, but if you regularly
analyze huge datasets, then your costs can add up quickly.
However, with a few adjustments to how you store your data
in BigQuery, you can run queries for a fraction of the cost.
To give you the flexibility to implement fine-grained
security, BigQuery has several layers of access control
capabilities, but they can be confusing, so IÆll show you
which ones to use to meet your organizationÆs requirements.
This is a hands-on course where you can follow along with
the demos using your own Google Cloud account or a trial
account. If you donÆt already have experience with
BigQuery, then please take Introduction to Google
BigQueryáfirst. Learning Objectives
Reduce your BigQuery costs by reducing the amount of data
processed by your queries
Create, load, and query partitioned tables for daily time
series data
Speed up your queries by using denormalized data
structures, with or without nested repeated fields
Implement fine-grained access control using roles and
authorized views
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▀▓▓███▀ Greetings fly out to: ▀███▓▓▀
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▄▓▓█▓▓██▄ Kodemusen, KoseBamsen ▄██▓▓█▓▓▄
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▄▓▓██ ▓▓██▄ STM is back. ▄██▓▓ ██▓▓▄
▄▓▓██ ▓▓██▄ For all the ppl we worked with ▄██▓▓ ██▓▓▄
▄▓▓██▀ ▓▓██▄ in the past. We salute you. ▄██▓▓ ▀██▓▓▄
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▀▓▓█ ▐████▓▓▓▌ NFO by NiMiTech ▐▓▓▓████▌ █▓▓▀
▀▓▓█▄ ▐█████▓▓▌ Updated: 09/09/2002 ▐▓▓█████▌ ▄█▓▓▀
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Files
| Path | Size |
|---|---|
| stm-optimizing-google-bigquery.r00 | 14,31 MB |
| stm-optimizing-google-bigquery.r01 | 14,31 MB |
| stm-optimizing-google-bigquery.r02 | 14,31 MB |
| stm-optimizing-google-bigquery.r03 | 14,31 MB |
| stm-optimizing-google-bigquery.r04 | 14,31 MB |
| stm-optimizing-google-bigquery.r05 | 14,31 MB |
| stm-optimizing-google-bigquery.r06 | 14,31 MB |
| stm-optimizing-google-bigquery.r07 | 14,31 MB |
| stm-optimizing-google-bigquery.r08 | 14,31 MB |
| stm-optimizing-google-bigquery.r09 | 14,31 MB |
| stm-optimizing-google-bigquery.r10 | 14,31 MB |
| stm-optimizing-google-bigquery.r11 | 14,31 MB |
| stm-optimizing-google-bigquery.r12 | 14,31 MB |
| stm-optimizing-google-bigquery.r13 | 14,31 MB |
| stm-optimizing-google-bigquery.r14 | 14,31 MB |
| stm-optimizing-google-bigquery.r15 | 14,31 MB |
| stm-optimizing-google-bigquery.r16 | 14,31 MB |
| stm-optimizing-google-bigquery.r17 | 14,31 MB |
| stm-optimizing-google-bigquery.r18 | 14,31 MB |
| stm-optimizing-google-bigquery.r19 | 14,31 MB |
| stm-optimizing-google-bigquery.r20 | 14,31 MB |
| stm-optimizing-google-bigquery.r21 | 14,31 MB |
| stm-optimizing-google-bigquery.r22 | 14,31 MB |
| stm-optimizing-google-bigquery.r23 | 14,31 MB |
| stm-optimizing-google-bigquery.r24 | 14,31 MB |
| stm-optimizing-google-bigquery.r25 | 14,31 MB |
| stm-optimizing-google-bigquery.r26 | 14,31 MB |
| stm-optimizing-google-bigquery.r27 | 10,95 MB |
| stm-optimizing-google-bigquery.rar | 14,31 MB |
| stm-optimizing-google-bigquery.sfv | 1,27 KB |
| stm.nfo | 11,81 KB |