Attendee Survey: MariaDB Server Fest Beijing / Singapore 2020

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Who are you?

Time zone: How many hours away are you from Singapore / Beijing?
Would you classify yourself primarily as a:

How did you follow the Fest?

How did you follow fest?

Your opinion of the Fest and its format

😀 = Great, 🙂 = Good, 😐 = Average, 🙁 = Bad, 😡 = Terrible, — = No opinion/not applicable

Content of presentations:
Choice and spread of topics:
Having pre-recorded talks:
Technical delivery of pre-recorded talks, video editing:
Duration of most talks being 25 minutes:
The Q&A session concept:
Subtitles being provided for the talks:
Chatting with presenter and attendees over Zulip:
Having the event in three different timezones, during day-time:
Duration – three short days, rather than two long days:
Lack of coffee breaks (pressing Stop/Play was fine by me!):

Your opinion of our future plans and ideas

😀 = Great, 🙂 = Good, 😐 = Average, 🙁 = Bad, 😡 = Terrible, — = No opinion/not applicable

Streaming the Fest also on Facebook:
Providing tutorials:
Providing iCal links to presentations:
Providing Birds-of-a-Feather type Zoom rooms for attendees:

How often should we do Server Fests?

How often should we do Server Fests?

Your opinion on the presentations

Friday

Supermetrics and the many bears: a modern day fable on the search for the perfect database:
How to help financial customers use Tencent Cloud MariaDB:
A user story: migrating from Oracle to MariaDB:
MariaDB on ARM:
sql_mode=ludicrous:
MariaDB at BiliBili.com:
Comparing ecosystems: MariaDB and Public Code:
Long-term archival with MariaDB’s S3 storage engine:
Optimizer Trace walkthrough:

Saturday

MySQL 8 vs MariaDB 10.5:
Avoiding replication delays:
MariaDB SkySQL: next generation DBaaS from the source:
Playing with the CONNECT storage engine:
AMA with Monty:
Introduction to MariaDB Galera Cluster:
Galera Clustering in MariaDB 10.5 and beyond:
MariaDB database clusters on Kubernetes:
10.5 and beyond:
How to get your bug fixed fast:

Sunday

It’s all about you: innovation that matters:
CDB & CynosDB with hardware and software integrated design:
Bringing MariaDB closer to the data science community – the MariaDB Jupyter kernel:
MariaDB meets solid-state computational storage drives: higher performance at lower cost:
Temporal tables:
ANALYZE for statements: MariaDB’s hidden gem:
Scalability improvements in MariaDB’s InnoDB storage engine:
IT Operations on Azure MariaDB:
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