London Analytics Meetup #10

Hosted by DeepMind at Google UK 6 Pancras Rd, Kings Cross!

Entry to the space is here: https://maps.app.goo.gl/FiuRH1zgCuyh1zz19

We need anyone attending to correctly fill in the registration questions as these details are needed for security. We will check these responses and remove members who have not filled them in properly to not attending.

Here is the form to fill in registration questions: https://forms.gle/vCGiBryf63vrh9Rr8

Please bring some ID.

Please fill in this form so we can continue to keep this Meetup and its topics relevant to you! Don’t worry if you have filled it before.

Please unRSVP if you find you can’t make it nearer the time.

We’ll have some food and drink courtesy of DeepMind.

Talks:

Ali Overy - DeepMind Rohan Thakur - Collectors - The Efficiency Equation: Maximising Impact with Minimal Resources Javier Martin - Tesco - From data request to impact: rethinking how we do data project

New and emerging reporting regulations like CSRD will require many organizations to provide transparency into their environmental, social, and governance (ESG) sustainability progress. This poses a challenge for many companies and means collecting more environmental social and governance data than ever before. Come learn how expanded functionality in Microsoft Cloud for Sustainability, including AI, water, and waste data capabilities can help address these requirements.

To learn more, please check out these resources: * https://aka.ms/Ignite23CollectionsBRK272H * https://info.microsoft.com/ww-landing-contact-me-for-events-m365-in-person-events.html?LCID=en-us&ls=407628-contactme-formfill

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Brandon Potter * Kevin Magarian * Shefy Manayil Kareem * Alejandro Gutierrez * Ravi Gangadharan * Ed Donahue * Heather Wikene * Nikol Vladinska * Robin Smith * Rohan Jha * Shelly Bakke

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This video is one of many sessions delivered for the Microsoft Ignite 2023 event. View sessions on-demand and learn more about Microsoft Ignite at https://ignite.microsoft.com

BRK272H | English (US) | Data

MSIgnite

STRV is excited to bring the Czech-based dbt community together for the second time! Our morning meetup will shine a spotlight on data product success stories, so join us bright and early to explore strategies for boosting ROI from your data team using dbt. Great opportunity to connect with fellow analytics engineers and data enthusiasts, and even score some dbt swag.

🏠Venue Host: STRV, Rohanské nábřeží 678/23, Prague 186 00 🤝Organizer: STRV 🧍Hosts: Jozef Reginac from STRV, Michal Kolacek from Slido

📝Agenda

• 8:30 - 9:00 \| Check in/Registration
• 9:00 - 9:10 \| Welcome Remarks by Meetup Hosts
• 9:10 - 9:20 \| Lightning Talk #1: How to Deliver Data Products Fast With dbt - by Arthur Mills from EssenceMediacom
• 9:20 - 9:25 \| Q&A
• 9:25 - 9:35 \| Lightning Talk #2: TBA - by Veronika Peskova from GAMEE
• 9:35 - 9:40 \| Q&A
• 9:40 - 9:50 \| Lightning Talk #3: 27 clinics\, 12 systems\, 1 solution: integration using dbt - by Matej Novak from RevoltBI
• 9:50 - 9:55 \| Q&A
• 10:00 - 10:45 \| Panel Discussion: How to Maximize Data Team’s ROI? - by all speakers and special guest Giuliano Giannetti\, CEO of RevoltBI
• 10:45 - 12:00 \| Networking

--- 🗣️Presentation #1: How to Deliver Data Products Fast With dbt Description: Ever been roped into a project at the last minute and asked to build an end-to-end solution by yesterday? Or you just joined a company and someone asked if you can SELECT * FROM some_ideal_clean_and_pristine.table_that_you_think_exists ? In this talk, I'll be discussing how to build data products fast, based on my general experience working with dbt at an enterprise company and a ludicrously stressful project that I worked on earlier this year. --- 🗣️Presentation #2: Cheater detection: tackling a moving target with data Description: The gaming industry is in constant battle with cheaters. To tackle this problem, it's crucial to leverage data and spark collaboration with product teams and developers. The talk aims to showcase the ongoing effort to detect cheating patterns and come up with counteractive measures to ensure a fair and enjoyable gaming experience for players. --- 🗣️Presentation #3: 27 clinics, 12 systems, 1 solution: integration using dbt Description: Data Integration: Join me for a lightning talk on how we used dbt to integrate 27 clinics in 8 countries with multiple diverse source systems, showcasing the power of efficient data management. — To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

EVENT DETAILS: Our venue has capacity limits, so please only RSVP if you intend to come. Reach out to [email protected] if you need to cancel last minute or change your RSVP status on the Meetup to "Not Going."

By taking part in this event, you grant the event organizers, STRV, full rights to the use of images resulting from the photography/video filming, and any reproductions or adaptations of the images for fundraising, publicity, or other purposes. This might include (but is not limited to): the right to use them in printed and online publicity, social media, and press releases. If you do not wish to be photographed, please inform an event organizer during check-in.

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-czsk channel in dbt Slack (https://slack.getdbt.com/).

dbt is a data transformation framework that lets analysts and engineers collaborate using their shared knowledge of SQL. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/

Presto is a widely adopted distributed SQL engine for data lake analytics. With Presto, you can perform ad hoc querying of data in place, which helps solve challenges around time to discover and the amount of time it takes to do ad hoc analysis. Additionally, new features like the disaggregated coordinator, Presto-on-Spark, scan optimizations, a reusable native engine, and a Pinot connector enable added benefits around performance, scale, and ecosystem.

In this session, Philip and Rohan will introduce the Presto technology and share why it’s becoming so popular – in fact, companies like Facebook, Uber, Twitter, Alibaba, and much more use Presto for interactive ad hoc queries, reporting & dashboarding data lake analytics, and much more. We’ll also show a quick demo on getting Presto running in AWS.

Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/

Kyle chats with Rohan Kumar about hyperscale, data at the edge, and a variety of other trends in data engineering in the cloud.

Remember when you used to keep all of your data packed into data boxes and stacked up on a bunch of data shelves in your state-of-the-art data warehouse? Well, it might be time to fire up the data forklift and haul all of those boxes out of the structured order of your data warehouse and dump them into a data lake so that it can float and sink and swim around in semi-structured and unstructured waters. On this episode, Rohan Dhupelia joins the gang to talk about his thoughts and experiences from engineering just that sort of move at Atlassian. So, pop in your earbuds and strap on your data swim trunks and give it a listen! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

This episode recaps the Microsoft Build Conference.  Kyle recently attended and shares some thoughts on cloud, databases, cognitive services, and artificial intelligence.  The episode includes interviews with Rohan Kumar and David Carmona.