xREL.v3

.:PROUDLY PRESENTS:.
Cloud Academy Optimizing Google BigQuery
Release Date.: 06-09-2019
Type.: Bookware
Disks.: 29x15mb
Link.: https://cloudacademy.com

Release Notes

BigQuery is Google's incredibly 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 won't 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 I'll show you
which ones to use to meet your organization's 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 don't already have experience with
BigQuery, then please take Introduction to Google
BigQuery first. 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

Greetings fly out to:

Kodemusen, KoseBamsen

STM is back.
For all the ppl we worked with
in the past. We salute you.

NFO by NiMiTech
Updated: 09/09/2002