Meetup Google BigQuery powered by ai

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How and why you should optimize Google BigQuery to improve performance and speed

Software

EXTENDED SEOUL
BigQuery DB
driven by AI
Making BQ faster & smarter

EXTENDED SEOUL
Agenda
● What does the next-gen AI DB
look like?
● The good & bad on databases
● Alternative DBs to build an AI
on top of.
● BigQuery best practices &
hacks
● BigQuery AI demo

EXTENDED SEOUL
What is a Managed Database?

EXTENDED SEOUL
The Good
● Maintenance
● Support for large queries
● Support for large tables
● HTTP access
● Simplicity

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● Billing
● Response time
● Management tools
● Security / anonymization
The Bad

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Alternatives
● SQL Server / Oracle?
● Elastic search
● Athena
● Vertica
● Hadoop

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Best practices
● Partitioning
● Clustering
● Limits
● Caching
● Knowledge base

EXTENDED SEOUL
BigQuery AI
Optimization
Engine

EXTENDED SEOUL
BigQuery
dry-run
by Deep
Learning

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Questions?
Making BQ faster, smarter, and
efficient with the superQuery neural
engine
email: avi@superquery.io

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What exactly are we predicting?
● The cost of a query
● Avoiding BQ dry-run functionality
Why?
● Speed
● Platform-agnostic

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How? → Software architecture

EXTENDED SEOUL
Data
super
heroes
unite!
BigQuery dry-run by
Deep Learning

EXTENDED SEOUL
Engineering Query Features
● SQL string/code
● Underlying data
● User behaviour for a specific SQL

EXTENDED SEOUL
Optimising queries with AI
● Cost and cost prediction
● Cost savings prediction
● Real-time query optimisation for scanning less data
● Query recommendations
● Smart caching

EXTENDED SEOUL
APIs
/ query → predict cost, query recommendations
/ user → user analytics
/ domain → domain analytics
/ all → business growth

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Meetup Google BigQuery powered by ai

1. EXTENDED SEOUL BigQuery DB driven by AI Making BQ faster & smarter

2. EXTENDED SEOUL Agenda ● What does the next-gen AI DB look like? ● The good & bad on databases ● Alternative DBs to build an AI on top of. ● BigQuery best practices & hacks ● BigQuery AI demo

3. EXTENDED SEOUL

4. EXTENDED SEOUL What is a Managed Database?

5. EXTENDED SEOUL The Good ● Maintenance ● Support for large queries ● Support for large tables ● HTTP access ● Simplicity

6. EXTENDED SEOUL ● Billing ● Response time ● Management tools ● Security / anonymization The Bad

7. EXTENDED SEOUL Alternatives ● SQL Server / Oracle? ● Elastic search ● Athena ● Vertica ● Hadoop

8. EXTENDED SEOUL Best practices ● Partitioning ● Clustering ● Limits ● Caching ● Knowledge base

9. EXTENDED SEOUL BigQuery AI Optimization Engine

10. EXTENDED SEOUL It’s time for an AI demo

11. EXTENDED SEOUL It’s time for an AI demo

12. EXTENDED SEOUL BigQuery dry-run by Deep Learning

13. EXTENDED SEOUL Questions? Making BQ faster, smarter, and efficient with the superQuery neural engine email: avi@superquery.io

14. EXTENDED SEOUL

15.

16.

17.

18. EXTENDED SEOUL What exactly are we predicting? ● The cost of a query ● Avoiding BQ dry-run functionality Why? ● Speed ● Platform-agnostic

19. EXTENDED SEOUL How? → Software architecture

20. EXTENDED SEOUL How? → The stack

21. EXTENDED SEOUL Data super heroes unite! BigQuery dry-run by Deep Learning

22. EXTENDED SEOUL Engineering Query Features ● SQL string/code ● Underlying data ● User behaviour for a specific SQL

23. EXTENDED SEOUL Optimising queries with AI ● Cost and cost prediction ● Cost savings prediction ● Real-time query optimisation for scanning less data ● Query recommendations ● Smart caching

24. EXTENDED SEOUL APIs / query → predict cost, query recommendations / user → user analytics / domain → domain analytics / all → business growth

25. EXTENDED SEOUL 대단히 감사합니다.

Notas del editor

this is me on the right, Avi the CEO in the middle. We had a small booth, on the 3rd floor, at a bad location. And we were concerned that people wont noticed us , so we brought a magician to do some magic tricks and attract attention. That’s the guy with the red suite. He was amazing and our booth was packed. We were the 1st ones in and last ones out every day! after we analyzed the data (as a big data company) we realized that 90% of the people that visited our booth used Google BigQuery, 70% of them extensively over the past 2 years. I’m sure you are using BQ as well, Let’s see a quick show of hands, who here uses BigQuery? (raise your hand if you use BigQuery)

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