Locke Data Talks

Ethical Data Science: Tools and Practices

Fri, 21 Sep 2018 00:00:00 +0000

Let’s talk ethics

Abstract

We want to do no harm but sometimes our models have unintended consequences. Come learn about some of the ethical challenges we as data scientists may face, how we can put checklists and frameworks around ourselves to help ensure we don’t do unethical things accidentally, and what tools we can use to check our models for issues.

Slides

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Presentation history

September 21, 2018 - techfest

Hands-on intro to SQL and R

Mon, 03 Sep 2018 00:00:00 +0000

SQL is an important skill for everyone!

Abstract

Learn SQL from the comfort of RStudio in this 2.5 hour hands-on workshop. Using SQLite as our database of choice, we’ll learn the fundamentals of good data structures, querying single datasets, and combining multiple datasets for getting answers from across your database. Bring your laptop with RStudio and we’ll send more info closer to the date on packages to install.

Slides

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Presentation history

September 3rd, 2018 - R Ladies Oslo

Shipping Data Science Products with R and Docker

Mon, 13 Aug 2018 00:00:00 +0000

How do we get our R code into production more quickly?

Abstract

There’s no point being a data scientist if your work never makes it to production. This session explores a solution for getting your code live, scalable, and easily managed.

Covering models, dashboards, and other products built in R, you’ll look at how Docker containers can make managing dependencies a breeze, allow your code to be hosted anywhere, and have it work in high-scale systems.

Slides

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Videos

InfiniteConf vid

Presentation history

July 5th, 2018 - InfiniteConf
August 13th, 2018 - PASS Hybrid VC

From Excel to R

Sat, 09 Jun 2018 00:00:00 +0000

Welcome to this training space for journalists looking to see if R can be of use in the day job. Learn about the fundamentals of working with key formats in R. manipulating the data, and visualising it.

Notebooks

Clone these notebooks to tackle the exercises or just browse them to learn!

Presentation history

June 21st, 2018 - European Data and Computational Journalism Conference

Tidy Data Science

Sat, 09 Jun 2018 00:00:00 +0000

Cut the lines of code you need to build awesome stuff. Going from getting data to deploying a model in three hours, you’ll get hands-on with the cutting-edge tidyverse packages that can at least halve the code you need to write!

Notebooks

Clone these notebooks to tackle the exercises or just browse them to learn!

Presentation history

June 23rd, 2018 - satRdays Cardiff

Modern R for data science

Fri, 25 May 2018 00:00:00 +0000

What are the cutting edge R packages that’ll make doing data science a breeze?

Abstract

R’s pace of change has been increasing and even the caret package is being supplanted by newer, easier to use packages. In this session, I’ll walk you through what the latest workflows for data science can look like from getting data to deploying models.

Slides

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Presentation history

May 24th, 2018 - SQL Glasgow

Preparing your business for data science

Fri, 23 Feb 2018 00:00:00 +0000

What do you need to be ready for data science?

Abstract

So you’re thinking about doing implementing data science project in your business?

You might be considering one or all of these options:

Hiring a data scientist
Using existing staff
Engaging a consultant

Like with most things in business, if you fail to plan, you plan to fail.

Starting out on a project without adequate planning, risks wasted time and money when you hit unexpected roadblocks. Additionally, putting a data science project into production without sufficient testing, monitoring, and due diligence around legal obligations, can expose you to substantial problems.

I want to help you avoid as much as risk as possible by taking you through my data science readiness checklist, including topics like:

Application development processes and capabilities
Data platform maturity
Use of data products within the business
Skillsets of existing business intelligence and other analytical teams
Analytical teams processes and capabilities
IT and analytical teams alignment to business goals
Recruitment, induction, and professional development processes
Legal, ethical, and regulatory considerations

Armed with the checklist, there’ll be fewer “unknown unknowns” that could derail your project or cause extra cost. Let’s get planning!

Slides

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Presentation history

February 23rd, 2018 - SQLBits

R for ETL

Sat, 10 Feb 2018 00:00:00 +0000

Learn about R for moving data about.

Abstract

Slides

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Presentation history

February 10th, 2018 - Tech Outbound

Picking the right Microsoft tool for the data science job

Thu, 25 Jan 2018 00:00:00 +0000

Microsoft have a lot of great tools for doing data science. The trouble is they have a lot of great tools for doing data science! This session gives you a framework to help you decide on the right tool to fit your needs so that you can get started sooner.

View the decision tree full screen

Presentation history

January 24th, 2018 - Tech Summit Birmingham
May 18th, 2018 - Data Science Ecomomy

Using Microsoft ML Server for data science

Thu, 16 Nov 2017 00:00:00 +0000

Explore one of Microsoft’s data science products to see if it’s useful for you.

Abstract

Microsoft’s ML Server can help you overcome in-memory restrictions of R and allows you to build and deploy models that can be used natively in SQL or accessible via a web service. This demo-packed session will take you through the end to end data science process using Microsoft ML Server so that you can see if it’s right for you.

Slides

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Presentation history

November 16th, 2017 - Big Data Ldn
April 24th, 2018 - Advanced Analytics Belgium
May 18th, 2018 - Data Science Economy

R for Reporting

Thu, 09 Nov 2017 00:00:00 +0000

What does it take to use R for reporting?

Abstract

Urgh! There’s data science, machine learning, artificial intelligence, and tons of buzz words flying around that make R & Python sound like you need a big fat budget to hire a bevvy of boffins and racks of servers.

This isn’t the case. R is actually a really nice, practical language that you can use to do ETL and reporting. You can do it for free and you don’t even need a Coursera course in stats to be able to use it.

In this talk, we’re going to look at how we can get started using R for reporting.

We’ll look at building dashboards, from connecting to our database, wrangling our data, to presenting good looking charts back to the user.

Slides

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Other materials

Presentation history

November 9th, 2017 - Microsoft Data Platform Group - Birmingham
May 8th, 2018 - MancDB
June 9th, 2018 - SQLSat Cork

DataOps - DevOps for analytics

Tue, 17 Oct 2017 00:00:00 +0000

What’s DevOps? How can we implement it’s lessons as data professionals? How we can we spend time doing cool things?

Abstract

DevOps is a movement focused on improving quality and time to deliver value by tackling the thorny issues of infrastructure, testing, integration, and deployment.

These are big issues that have faced the data & analytics world for years, and tools have been slow to be delivered. This is changing though, so now we can start using the concepts from DevOps and applying them to analytics.

Taking you through the principles, the tools, and the journey to DataOps, this session will help you do work with data.

Slides

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This is an embedded Microsoft Office presentation, powered by Office Online.

Presentation history

October 7th, 2017 - SQL Saturday #656 Copenhagen

Build your first bot - no code required!

Fri, 13 Oct 2017 00:00:00 +0000

Learn how to build a bot without having to learn to code.

Abstract

Learn how to build a bot that will answer questions asked by users. Learn how to customise it and embed it on your website. Learn how to do all of this without having to write a single line of code.

I’ll be using Microsoft’s qnamaker.io site to build an FAQ bot and the putting it live with an Azure Bot Service and the Skype Web Control. The end result is a little snippet you can add to any web page, making implementation a breeze.

You can follow along as I build the bot live, or just soak it all in. Either way, you’ll see how easy it is to build a bot and you’ll know the next steps to follow to start building more complex bots.

Slides

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Other materials

Presentation history

September 16th, 2017 SQL Saturday Katowice
October 7th, 2017 SQL Saturday Copenhagen
October 13th, 2017 SQL Relay Bristol

Data Science Fundamentals

Sat, 09 Sep 2017 00:00:00 +0000

Get an overview about data science.

Abstract

Data scientists know the “magic” of making accurate predictions over time.

Magic is just sufficiently advanced technology, and most of a data scientist’s magic is a good process, a robust understanding of data, and the ability to sensibly apply some recipes.

Let’s go behind the curtains and see the process and the fundamentals employed in making any prediction. Learn enough to start adding magic to your own work.

Slides

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Presentation history

September 9th, 2017 - sqlsaturday.com
January 24th, 2018 - BirminghamR
February 10th, 2018 - Tech Outbound
September 1st, 2018 - SQL Saturday Oslo

Is the cloud cost effective?

Wed, 05 Jul 2017 00:00:00 +0000

Is it worth putting your stuff on the cloud? Let’s talk numbers!

Abstract

Yes, the cloud is cool. Yes, it can be easy. But… will it save or even make the company money? That is the all important question!

Learning to build a financial business case for a technology decision is a smart move. Transform the techy topic that C-suite people don’t feel like they can discuss into something they can discuss by making it a financial topic. Help people make the right decision for the business.

In this talk, we’ll look at how we can determine the Total Cost of Ownership (TCO) and any potential Return on Investment (ROI) for a variety of scenarios, from starting in the cloud, migrating to the cloud, and staying on premises.

We’ll see if there are any tipping points when one or the other becomes sensible. We’ll take into account basic principles like the future value of money, and even incorporate a measurement of opportunity costs for implementing each solution.

By the end of this talk, you’ll have a grasp of basic accounting and you’ll be able to talk business i.e. money!

Slides

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Additional resources

Presentation history

July 5th, 2017 - DevTeach
April 19th, 2018 - Pass Cloud Virtual Chapter

Coping with x2,000 data volumes growth

Tue, 04 Jul 2017 00:00:00 +0000

Experience my pain as I try to build an Azure Data Platform that scales.

Abstract

I worked in a startup and our volumes started small, really small. I was the data scientist but I needed to actually build a data platform first. By the end of 6 months, daily volumes were 2,000 times the size. This talk takes you through my 6 months of learning how to build a high-scale data platform whilst requirements, scale, and technology were all changing. We’ll look at the various bits of Azure I used, how they started off or became wrong for my situation, how I designed the system to cope with the constant swapping and changing of technologies, and then we’ll look at the system I ended up with that could cope with the scale and at then some.

Slides

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Presentation history

July 4th, 2017 - Devteach
June 5th, 2018 -SQL Ireland

Solving Power BI painpoints with R

Thu, 29 Jun 2017 00:00:00 +0000

Power BI is pretty nifty but it has some areas that R can help make easier.

Abstract

This session will look at how PowerBI dashboard developers can use R to solve data import and data visualisation challenges.

By the end of this session, you’ll know how you can use R to connect to more data sources, do sophisticated data transformation easily, avoid spatial data point limitations, and build custom graphics.

Slides

Get the materials from GitHub. Alternatively, download them as a zip file. Note the Power BI report is the slides.

Presentation history

June 29th, 2017 - London Power BI User Group
July 15th, 2017 - SQL Saturday Manchester
October 26th, 2017 - Manchester Power BI User Group
May 22nd, 2018 - South East Power BI Group

Data Science Executive Briefing

Tue, 27 Jun 2017 00:00:00 +0000

Understand what data science is and isn’t, how you go from business goals to data science problems, and how you acquire talented data scientists.

Abstract

Data science aims to use data to build processes that help automate away low-value work, help people take the most effective action, and help people adapt more quickly to changing circumstances. Data science is identifying when to send out engineers, which customers to talk to, and which patients to send to a consultant. Data science is saving people money and helping them make more of it.

In this briefing, we’ll join the dots between the challenges your organisation is facing and data science to help you determine if data science is a good strategic fit. We’ll then go on to provide tactical advice from the field to help you deliver a data science initiative successfully.

Slides

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Presentation history

June 27th, 2017 - OneZeero

R & SQL Server for real-time predictions

Tue, 27 Jun 2017 00:00:00 +0000

Putting data science models with SQL Server can be a great and simple way to operationalise your data science models. Learn how to do it.

Abstract

Embedding your R (and soon Python!) models in SQL Server enables you to add predictive capabilities to your applications and analytics in place of buying expensive components or making substantial changes to your systems. In this demo-packed talk, you’ll see how you can go from a model built in R to making predictions on the fly in SQL Server 2016.

Slides

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Additional resources

Presentation history

June 27th, 2017 - Data Science Technologies
September 30th, 2017 - SQL Saturday Utrecht
December 9th, 2017 - SQL Saturday Slovenia

Data + Docker = Discombobulating?

Mon, 26 Jun 2017 00:00:00 +0000

Learn about Docker and how you can store data in Docker containers safely.

Abstract

If you’re like me, you like your data to stick around for a long time and most importantly you want to know it’s safe.

In the Docker world, there’s the maxim of “never patch”, always make a new container with the latest version of the application. If we’re sticking in our database in a container like Microsoft are doing with SQL Server now, what happens when we need to apply the latest patches? Will we lose our data?

In this talk, we’ll look at the sorts of data we need to think about (it’s not just databases!) and how Docker containers work. We’ll then look at how we can save our data from disappearing when we load a new version of our Docker container. Once we know how to safeguard ourselves, we’ll look at some of the architectural options you have when working with data and Docker.

Slides

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Get more info and supporting scripts in the repository.

Videos

Presentation history

November 3rd, 2016 - Bris.tech
January 18th, 2017 - NDC London
June 26th, 2017 - R & SQL Northeast
July 4th, 2017 - Devteach

Failing my way to success with Azure

Fri, 02 Jun 2017 00:00:00 +0000

Experience my pain as I try to build an Azure Data Platform that scales.

Abstract

Azure is a constantly evolving area, with more new features per day than I could shake a stick at. It’s awesome, you can use PowerShell, it’s cheaper than tin. It’s the future, so they tell me. It’s also a real PITA when you’re trying to achieve a task and you don’t know which bit is best! This talk takes you through my path to a cool analytics platform, showing you where, how, and why I failed. I’ll show you the gotchas, the ways to quickly prototype a solution, and how to clean up after you make a mess.

Slides

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Presentation history

December 3rd, 2016 - Cloudbrew
June 2nd, 2017 - SQLGrillen

Anchor Modelling - agile databases

Sat, 20 May 2017 00:00:00 +0000

Yes, there’s normal forms beyond third, and yes they can be really useful!

Abstract

Anchor Modelling is a fantastic database modelling paradigm that uses sixth normal form (6NF) to store data and provides third normal form (3NF) views for ease of use.

This session deep dives into all the concepts behind Anchor Modelling (and indeed databases generally!) and then takes you through how Anchor Modelling uses these concepts to move away from the traditional data warehouse paradigm to deliver a purely additive, agile database.

Slides

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Resources and old slides

Read more in our post.
Check out AnchorModeling.com
Old slides
For examples and glossaries, checkout lockedata/pres-6nf

Presentation history

May 20th, 2017 - SQL Saturday #616 Kyiv
December 5th, 2017 - SQL Saturday #467 Southampton
January 19th, 2018 - NDC London
May 15th, 2018 - SQL Bristol
August 10th, 2018 - DPS10

Logistic Regressions in R

Wed, 19 Apr 2017 00:00:00 +0000

Learn what logistic regressions are. See how we can use R to prepare data, build models, and evaluate them.

Abstract

Learn about a fundamental type of model used to make classification prredictions and probabilities of an outcome’s likelihood.

Logistic regressions are a core model in machine learning, inherited from statistics, and it’s vital to understand them if you’re interested in data science.

The neat thing is they’re pretty simple!

Learn about how they works and how you go about programming a logistic regression from end to end in R.

Slides

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You can also check out a more extended workshop on Logistic Regressions

Videos

Presentation history

April 19th 2017, Plymouth University Psychology faculty

data.table power hour

Fri, 07 Apr 2017 00:00:00 +0000

Learn how to use this fantastic package in R for high-speed, low-code table wrangling.

Abstract

The package data.table is super-fast and super-powerful and can turn your long-winded and slow R code into a lean, mean, data-crunching machine. This hour takes you through the key aspects of the package and how it can make your life better.

We’ll be looking at:

Basic syntax
Data I/O
Joins
Within group activities
Pivoting data
Cool hacks

Slides

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Videos

Presentation history

April 7th, 2017 - SQLBits XVI

data.table in 5 minutes

Wed, 15 Mar 2017 00:00:00 +0000

Get a quick overview about the R package data.table

Abstract

The package data.table is super-fast and super-powerful and can turn your long-winded and slow R code into a lean, mean, data-crunching machine. This quick talk takes you through the most important features and benefits.

Slides

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Presentation history

March 15th, 2017 - Data Science Exeter

The You in Community

Sat, 18 Feb 2017 00:00:00 +0000

Keynote about why and how peoeple can get involved in the R community.

Slides

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Videos

Presentation history

February 18th, 2017 - SatRdays Cape Town

Reproducible R docs in github

Mon, 13 Feb 2017 00:00:00 +0000

Learn how to build awesome docs in R and github.

Abstract

We can combine R and Github to make fantastic data driven documents, blogs, books and more. This talk takes you through the building blocks and how you can use them for different types of documents.

Slides

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Presentation history

February 13th, 2017 - R-Ladies London

Personal Branding for Data Scientists

Tue, 24 Jan 2017 00:00:00 +0000

Slides

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Presentation history

January 24th, 2017 - Bristol Data Scientists

Get going with modern R in SQL Server in 30 minutes

Mon, 24 Oct 2016 00:00:00 +0000

Learn about provisioning data science machines for production, programmatically.

Abstract

Description Starting with provisioning a SQL Server on Azure, this end to end demo shows you how get everything set up to start using the best R packages available in realtime.

Slides

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Get more info in the repository

Videos

Presentation history

October 24th, 2016 - UK TechDays Online at Future Decoded
October 24th, 2016 - SQL Bristol

Board Packs: Combining Shiny, LaTeX And Databases For Full Effect

Sat, 03 Sep 2016 00:00:00 +0000

Making complex report compilation easy is something we can do in R. Learn how!

Abstract

The monthly report pack for the Board – with lots of information from different sources and all requiring commentary from lots of people – these things can take weeks to produce, send for commentary, and then compile into one pack. This full hour takes you through a framework for a single core source document, a shiny interface, hooks into the database for commentary, and the LaTeX (or markdown) document structure needed for developing a single interface through which lots of people can contribute to a single document.

Slides

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Presentation history

June 30th, 2015 - caRdiff
September 15th, 2015 - EARL

Infrastructure for R peeps

Sat, 03 Sep 2016 00:00:00 +0000

It’s important to know how to work your operating systems – if only so you know how to avoid working with your operating systems!

Abstract

Continuous integration, Docker, openCPU, shiny server, RStudio server, Microsoft R Server, R in Hadoop, your laptop, your grid computer … There’s a lot of infrastructure out there and someone has to configure it. This session whistle-stops through networking, Linux basics, and other key concepts to help get you up to speed because one day, the person configuring the server could be you.

Slides

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Videos

Presentation history

September 3rd, 2016 - SatRdays Budapest

Git in 5 minutes

Wed, 27 Jul 2016 00:00:00 +0000

Learn about source control – it’ll save your bacon!

Abstract

Git can seem scary but once you know a few key terms it’s pretty easy day to day. This lightning talk helps fasttrack you through the basics.

Slides

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Presentation history

July 27th, 2016 - SQL Guerilla talks
June 23rd, 2018 - satRdays Cardiff

Getting better with data

Wed, 08 Jun 2016 00:00:00 +0000

Aimed at security folks, this talk is about how people involved with protecting our data can use some of it to improve protection.

Abstract

So many alerts and dashboards, so little time. It’s incredibly tough to know what to focus on when monitoring your network. This talk takes you through some ways of using the data available to you to reduce unimportant alerts, and liberating your time.

Slides

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Videos

Presentation history

June 8th, 2016 - London BSides

Cut the R Learning Curve

Sat, 21 May 2016 00:00:00 +0000

Avoid the pain of learning R by finding out about the best bits.

Abstract

R is a powerful language to add to the BI, analytics and data science technologies you may already be using. This session circumvents the painful experience of on-boarding a new technology and will give you the foundation needed to use R effectively.Topics covered will include effective R coding, development best-practices, using R as a reporting tool, and how to build and administer a solid platform for analysis.

Slides

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Presentation history

May 6th, 2016 - SQLBits XV
May 21st, 2016 - TUGA IT
September 6th, 2017 - Inspiring Women In Data Science

My ways of being lazy with infrastructure

Tue, 17 May 2016 00:00:00 +0000

Learn how we can take some of the effort out of infrastructure work

Abstract

Oops, I never made one apparently!

Slides

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Presentation history

May 17th, 2016 - IT Pro Portugal

Skilling up to code with data

Wed, 13 Apr 2016 00:00:00 +0000

Coding helps you scale as an analyst - learn some important concepts to help you get started.

Abstract

It’s starting to feel like every data project is a software project. It’s becoming essential to have some coding skills to really analyse your data. This session will cover how you can get to grips with programming.

Why code with data
What coding languages can be used
Coding best practices
Source control
Testing
Continuous testing (& deployment)
Coding your infrastructure

Slides

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Presentation history

April 13th, 2016 - London Business Analytics

Statistics 101

Sat, 12 Mar 2016 00:00:00 +0000

Take a visual, intuitive tour through some important concepts of statistics.

Abstract

We can be better at our jobs if we have a good grasp of basic statistics.

It doesn’t matter if you’re a DBA looking to understand query plan performance, a data warehouse person needing to come up with ETL load time estimates, or an analyst needing to report figures to managers. Statistics can help you all.

If only maths classes hadn’t been so darn boring!

Instead of going all mathsy, we’ll be doing some real-time data capture and taking an intuitive and visual approach through summary statistics right up to understanding how to produce simple predictive models.

By the end of the session, you’ll understand concepts like sampling, error, regression, and outliers – important day-to-day stuff and a great base upon which to build. By the end of the session, you’ll wonder how people could have it made seem so hard for so many years.

App

Get the latest iteration of the app to explore statistics.

(old) Slides

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Videos

Presentation history

March 12th, 2016 - SQLSaturday #496 Exeter
September 1st, 2017 - Group By
January 18th, 2018 - LBAG
July 4th, 2018 - Southampton Data Platform and Cloud Group
August 9th, 2018 - DPS10

Analytical web services

Thu, 10 Mar 2016 00:00:00 +0000

“Works on my machine” isn’t useful - learn how we can get our models into production.

Abstract

In your day job you build some awesome bit of analysis in R but now people want this information available real time and against every thing that comes into the business - you need an R web service but not being a developer you have no clue how to go about it.

This session takes you through how to convert your analysis into a web service and how to take into account important stuff like security, scalability and error handling. We discuss the technologies and the defensive programming you should be using to help get you through.

Slides

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Videos

Presentation history

October 12th, 2015 - SQL Relay
October 21st, 2015 - RBelgium
March 10th, 2016 - LIDNUG

Knowing your Rs from your elbow

Sun, 04 Oct 2015 00:00:00 +0000

Learn the fundamentals of R.

Abstract

R, a fantastic open-source language, will rock your world.

Instead of showing you how to do dry old statistics and worrying about your random trees and bagging methods, this session is going to take you through the super-cool stuff. No TLAs allowed in this session, only cool terms like shiny & LaTeX!

We’re gonna get your data out of SQL Server in just a few lines, then we’re going to chart it for awesomeness, and then the fun begins.

We’ll go through the easy experience of using shiny to make interactive, real-time reports.

I’ll show you how you can add markdown & LaTeX to the mix to replace Excel, PowerPoint & Word so that you can save yourself months over your lifetime formatting bullet points and headers.

By the end of this session, you’ll truly know your Rs from your elbow.

Slides

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Videos

Presentation history

October 14th, 2015 SQL Relay
September 8th, 2015 SQLNE

R for Developers

Thu, 24 Sep 2015 00:00:00 +0000

Learn about R from a developer perspective.

Abstract

Whether you’re interested in picking up another language, or you need to understand what those new data scientists have written and how you go about implementing their crazy new algorithms in your front-end, this session will take you through the R fundamentals, drawing comparisons against other languages, and give you a load of tips to make getting started easier.

Slides

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Presentation history

September 24th, 2015 - Application Development PASS Virtual Chapter
April 19th, 2018 - Data Platform Geeks
July 19th, 2018 - DeveloperSouthCoast

Agile BI

Sat, 16 May 2015 00:00:00 +0000

Work smart not hard. BI needs to scale and this talk helps you do that.

Abstract

Agile methodologies are widely used in the dev world and are becoming increasingly adopted in the database world. But what about BI? Covering the technology and process sides of enabling agile BI, this session is designed to give you practical tips to get things moving more quickly for you.

Slides

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This is an embedded Microsoft Office presentation, powered by Office Online.

Presentation history

May 16th, 2015 - SQL Saturday #369 Lisbon

Intro to R

Fri, 04 Jul 2014 00:00:00 +0000

Learn the fundamentals of R.

Abstract

R, the statistical programming language, is another open-source program making inroads into the Microsoft world.

R was originally for doing stats, but it now does database CRUD, reporting, documentation, and even websites. It can be awkward to know where to start, so this session fast tracks you to the sections you need to know about to save yourself pains you didn’t even know you had.

Slides

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Videos

Presentation history

July 2014 - SQLBits XII
May 24th, 2018 - SQL Glasgow