# \[Sydney\] 2017 Dec 7 - Intro to Julia from a Data Perspective - Can it be the fastest too?

**URL:** <https://discourse.julialang.org/t/sydney-2017-dec-7-intro-to-julia-from-a-data-perspective-can-it-be-the-fastest-too/7208>\
**Category:** Meetups\
**Tags:** meetup\
**Created:** [November 21, 2017, 1:40am UTC](https://discourse.julialang.org/t/sydney-2017-dec-7-intro-to-julia-from-a-data-perspective-can-it-be-the-fastest-too/7208 "2017-11-21T01:40:38Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![xiaodai](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/xiaodai/32/15937_2.png) [@xiaodai](https://discourse.julialang.org/u/xiaodai)\
**Post date:** [November 21, 2017, 1:40am UTC](https://discourse.julialang.org/t/sydney-2017-dec-7-intro-to-julia-from-a-data-perspective-can-it-be-the-fastest-too/7208/1 "2017-11-21T01:40:39Z")

</div>

**Update** : slides from talk

> **[Introduction to Julia](https://prezi.com/view/FBgx6GGnrBLX5DNNxfZv/)**
>
> Introduction to Julia - data perspective About me Name: ZJ Independent consultant 10 years in banking R and SAS background 3 months into Julia Contact Me Contact Me LinkedIn: https://linkedin.com/in/daizj Github: @xiaodaigh Email:...

> **[Login to Meetup | Meetup](https://www.meetup.com/Sydney-Julia-Julialang-Meetup/events/245264572/)**
>
> Not a Meetup member yet? Log in and find groups that host online or in person events and meet people in your local community who share your interests.

Feel free to come early around 5.45pm to mingle and watch a Julia video. Talk starts at 6.30pm

Intro to Julia from a Data perspective - Can Julia be the fastest in-memory data manipulation language too?

Presenter: Dai ZJ ([http://www.linkedin.com/in/daizj](http://www.linkedin.com/in/daizj))

Bio: ZJ has worked in banking & data science related fields since 2007. He is part of a startup in stealth where being able to manipulate 50GB size datasets reasonably quickly without expensive hardware/software is important.

Abstract:

We all know Julia is meant to be fast. But there is an important caveat - it is fast at compute tasks but is it fast at data tasks where R’s data.table is king? Can it be faster than data.table? This talk will offer an introduction to Julia’s data ecosystem and gives an “into the future” look at what’s around the corner for Julia as a data manipulation tool.

---

<div class="post-metadata">

**Author:** ![xiaodai](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/xiaodai/32/15937_2.png) [@xiaodai](https://discourse.julialang.org/u/xiaodai)\
**Post date:** [December 7, 2017, 9:56pm UTC](https://discourse.julialang.org/t/sydney-2017-dec-7-intro-to-julia-from-a-data-perspective-can-it-be-the-fastest-too/7208/2 "2017-12-07T21:56:24Z")

</div>

slides from talk

> **[Introduction to Julia](https://prezi.com/view/FBgx6GGnrBLX5DNNxfZv/)**
>
> Introduction to Julia - data perspective About me Name: ZJ Independent consultant 10 years in banking R and SAS background 3 months into Julia Contact Me Contact Me LinkedIn: https://linkedin.com/in/daizj Github: @xiaodaigh Email:...