Events

We'll be exploring how the Apache Superset project (and Preset) have been making moves toward AI/LLM features, what SIPs are open on this topic, and what we consider to be the path for AI in BI as a generalized practice, as an extension to this blog post: https://preset.io/blog/ai-in-bi-the-path-to-full-self-driving-analytics/

Continuing our series on developing custom visualization plugins we'll take you through some features to help you build a better (and cleaner) control panel. We'll cover dynamic/conditional controls, pre-built controls you can leverage, and normalizing/denormalizing form data for smoother transitions between viz plugins, and more!

Join Maxime Beauchemin, the original creator of Superset and Airflow, and Founder and CEO at Preset, at OSA CON 2023. In his talk, Max will dissect the anatomy of a modern data stack and examine its key components, such as data warehousing, ETL processes, data dictionaries, and streaming solutions. He’ll delve into the robust pillars that open-source tools provide, as well as identify the gaps that still need to be addressed. By the end of this session, you’ll gain a comprehensive understanding of the opportunities and challenges that come with building a fully open-source data stack in today’s rapidly evolving tech landscape.

Open-source BI is here to stay! It’s better, it’s cheaper, and it can be everything you need it to be. In this talk, Evan Rusackas, Preset Developer Advocate, and Apache Superset PMC member, will walk you through a tour of Apache Superset — how it flows, how it fits into the modern data stack, and how you can contribute to shaping the future of open-source business intelligence and data democratization.

In this long-awaited sequel, we'll go into various ways you can enhance your plugin with additional features to bring it up to first-class feature support, adding utility and boosting adoption.

Learn how to better organize your content in Superset and Preset with the new tagging system. We'll give you a walk through of how to use it, what's on the feature's roadmap, and how Preset's offering differs from open-source Superset's

Are you new to Apache Superset, or in need of a refresher? Take a guided tour of the product from connecting data to writing queries and building datasets with it. From there, we'll create charts, build dashboards, and learn how to connect all the dots to tell a comprehensive story with your data.

The wait is over — Apache Superset 3.0 is here! Come learn about all the changes that are landing in this major release (features, fixes, and breaking changes), and talk about how and why you'll want to upgrade. We'll also look at the release roadmap and the process that we'll be using so you can get involved!

Open Source BI is here, and it's ready for prime time! We'll dig into all the reasons Apache Superset is worthy of your consideration against other proprietary BI solutions. Learn all about how Superset can save you money, improve your workflows, free your org from vendor lock-in concerns, and open the door to customization beyond what the competition can offer.

In this demo, we'll go into Superset's dashboard filters and their configuration. Whether you're new to Superset, migrating from the legacy Filter Box, or just looking to learn a few new tricks, we'll be diving into cross filters, filter indicators, and numerous other features and limitations.

Preset, the hosted version of Apache Superset, now integrates with dbt Cloud through the Preset UI! In this live demo, we'll showcase how to create charts and dashboards from datasets and metrics defined in your dbt project.
We encourage you to join even if you're using the open-source dbt Core. We'll cover how to sync your dbt project with Preset using the Preset CLI.

See how you can use Preset/Superset to build dashboards for your customers and embed them easily and securely in your own application.

In this live demo, we explore new ways that Superset and Preset users can embrace the power of GPT in their daily lives, starting today. We also look at things on the horizon including the rise of prompt engineering and text-to-SQL

In this Meetup, we talk about what’s new and what’s fixed with Superset 2.1.0, and what comes next.

In this live demo, we’ll be looking at three distinct ways to customize your Superset dashboards: styling dashboards with CSS, creating custom visualization color palettes, and a look at the current state of creating custom themes in Superset

Join us in taking a much-requested look at where Superset stands in various forms of drilling operations. We’ll cover what’s been shipped, what’s in progress currently, and what’s on the horizon of this highly requested set of features.

The Superset Community has been growing steadily since joining the Apache Software Foundation in 2017, and 2022 is no exception! In this meetup, we will discuss the major milestones and achievements for the Apache Superset project over the past year.

Data modeling is the process of creating a visual representation of either a whole information system or parts of it to communicate connections between data points and structures. In this live demo, we'll discuss data modeling best practices and walk through an illustrative use case using Snowflake, dbt, and Preset!

Looker popularized the power and usefulness of a semantic layer, but unfortunately decided to keep it (LookML) proprietary. In this event, we’ll show how Superset and Cube provide a viable, modern, and open-source alternative. You’ll see how the open-source data modeling layer of the headless BI platform (Cube) works with the modern data exploration and visualization platform (Superset), so you can deliver dashboards and embedded analytics to your end users.

In our first embedded event, we showcased how to build a simple embedded dashboard in Superset / Preset. In this event, we’ll teach you how to customize the aesthetics of both charts and dashboards to better match your web application, how to define custom row level security criteria for your users and manage embedded dashboards using source control

In episode #6, Max chats with Byron Allen, the ML Practice Lead at Contino.

In this episode, we chat about a variety of topics around the challenges of operationalizing data: organizational difficulties around data (data mesh vs centralized data warehouse / governance);what a semantic layer really is; thin vs thick semantic layers; entity / dataset centric modeling; the idea of a unified semantic layer for ML and BI; batch vs real-time ML use cases; experimentation frameworks; and much much more!

We hope you enjoy this episode!

In episode #5, Max chats with Michel Tricot, the co-founder and CEO of Airbyte.

In this episode, we talk about the challenges of data integration, the importance of establishing protocols for data connectors, how traditional REST API's fall short when it comes to data exhaust, the original idea for Airbyte that got them into YCombinator, and much much more.

If you prefer audio-only in your podcast player, head to our podcast page: https://anchor.fm/analytics-everywhere/episodes/Episode-5-Data-Integration-with-Michel-Tricot-e1nhtst

In this live demo, we'll showcase the end-to-end workflow for building and embedding a Preset dashboard in your web application. We'll cover the token authentication, the Superset Embedded SDK, iFrame sizing, and more using a real-world example.

Superset 2.0 is a major release for the project and brings forth a massive array of tech debt cleanup, UX alignment, and stability improvements. This version also adds some widely requested features, like horizontal bar charts and a faster, cleaner visualization switcher in Explore.

The Superset import and export functionality has been a useful way to manage important assets outside of the UI. In this demo, we’ll take this one step further to showcase an end-to-end workflow for managing and syncing assets (databases, datasets, charts, dashboards, etc) using the Preset SDK.

The Preset API extends the power of the Superset API in a multitude of ways, allowing you to provision workspaces on the fly, manage assets (databases, datasets, charts, and dashboards) as code, and more!

In this webinar, we'll provide an overview of the Preset API targeting users looking to scale and automate Preset operations.

Preset now integrates with dbt! In this live demo, we’ll showcase how to define databases, datasets, and metrics in dbt and sync them to your Preset Cloud workspace.

Preset Cloud is a managed service for Apache Superset. Preset extends the permissions layer in Superset in a number of ways.

In this webinar, we'll explore some of the best practices around Permissions and Sharing in Preset!

Who Should Attend? This Webinar is a great choice for some more Preset admins and users who need to collaborate on visualizations

Join us as we explore some best practices around Jinja templating. This session will cover some advanced filtering methods using Jinja!

Who Should Attend? This Webinar is a great choice for some more advanced users with SQL knowledge.

Dremio is the easy and open data lakehouse platform, enabling lightning-fast SQL on S3, ADLS and operational databases. Preset Cloud is a cloud-hosted version of Apache Superset, the leading open source data exploration and visualization platform. In this live demo, we’ll showcase how you can quickly get large datasets in your lakehouse, connect Preset to Dremio, and build a compelling dashboard in just a few minutes and all for free. Speed and ease-of-use are at the core of both platforms.

The mixed time-series visualization in Superset helps take time-series charts to the next level by enabling you to combine and situate two of these charts in a single chart container. In this workshop, Srini Kadamati will dive into how the queries are generated for this combined chart type, how to take advantage of advanced analytics, and showcase some powerful use cases along the way.

The Bing team at Microsoft have made a number of incredible customizations to Superset to meet their internal needs, ranging from visualization types to their own query designer. In this Meetup, the team will showcase the work they’ve done and start a discussion around how some of these can be brought into core Superset.

Firebolt is a modern, cloud data warehouse built from the ground up for sub-second data experiences. In this live demo, Brian Bickell and Todd Beauchene from Firebolt and Srini Kadamati from Preset will showcase how to build lightning fast dashboards in Preset Cloud (based on Apache Superset) using Firebolt.

In this live episode recording of the Analytics Everywhere podcast, Max Beauchemin and Zach Wilson will talk about how data products are built. Zach is a Tech Lead at Airbnb and is an advocate for mental health on LinkedIn (https://www.linkedin.com/in/eczachly/). Join us for the conversation and the Q&A at the end!

In this webinar, we will discuss how to use different visualization options in Superset coupled with CrateDB to derive interesting insights and findings from a time-series dataset.

In this panel, Max Beauchemin (Preset) and Tristy Handy (dbt Labs) will talk about what's new in the data ecosystem.

Can we free analytics from the confines of BI tools and let data radiate throughout more applications, workflows, and daily processes? In this talk, Max will explore how organizations can go beyond being internally “data-driven” and take a more active stance to enable customers, partners, and internal processes by surfacing interactive analytics into the existing tools they’re already using.

We’re thrilled to invite you to a very special Presto tech talk for March which will explore using Presto with Apache Superset. Join us to learn what makes Presto and Superset together a supremely powerful combo to use for data queries.

Jinja templating enables end-users to augment their SQL queries and build more dynamic dashboards. In this Live Demo, we will showcase how Jinja templating syntax works, teach some common workflows, and share some tips for building high quality analytics experiences using this feature set.

The monorepo project has changed the workflow for crafting new custom viz plugins in Superset. In this Meetup, we'll showcase the updated, end-to-end workflow with some concrete example charts created using this workflow.

In this guided session, we will walk through end-to-end how to make your first contribution to the Apache Superset project. We'll start with an overview of the different ways of contributing, then zoom in specifically on open issues that need a code contribution. Then, we'll teach how to setup your local development environment, make your first PR, and submit it for review.

Nitesh Baranwal is the Director of Product at Veeva Systems and will be speaking in our November meetup. Specifically, Nitesh will showcase how his team uses Superset in their Veeva Nitro product, an analytics platform for life sciences.

Superset has a powerful API built on top of Flask App Builder that unlocks a few new workflows for engineers. In this live demo, I’ll introduce how to authenticate & work with the API and then showcase some common workflows for accessing Superset objects using the API.

The accompanying slides & notebook can be viewed and downloaded here: https://drive.google.com/drive/u/1/folders/1CjGRhWw5V9y8MmOQ2oiPDMKYOAiU9eCc

In this talk, we'll discuss how we built a data architecture to pull in data from disparate data sources and visualize the clean, processed data using Superset. We'll also touch on effective dashboard design for community managers and developer advocates!

Apache Superset 1.3 was just released and brings a large suite of improvements. In this Meetup, we will showcase improvements to Dashboard Native Filters, new charts that were added, new supported data sources, and the numerous user experience improvements

Here we present a comparative analysis of top open-source projects to better understand what drives successful, healthy open-source communities. We created a reusable data architecture built entirely on open-source software that enables organizations to collect information on the growth and evolution of their communities.

Streaming data systems have been growing rapidly in importance to the modern data stack. Kafka’s kSQL provides an interface for analytic tools that speak SQL. Here, we review and compare methods for connecting Kafka to Superset to enable streaming analytics use cases including anomaly detection, operational monitoring, and online data integration.

In this guided session we will go through the essential steps to contributing a PR to Apache Superset. This includes:

• Finding the contribution guide and identifying good first-time contributions
• Setting Superset up for local development
• Setting up pre-commit hooksgg
• The PR process
• How to contribute new features or larger changes through SIPs
• Open Q&A

Rockset is a real-time indexing database service for serving low latency, high concurrency analytical queries at scale. In this live demo, we will showcase how to join and index real-time data from multiple data sources in Rockset and how we can visualize the results in Superset.

Superset was initially created to better support real-time use cases, where time series visualization and forecasting are both key components. In this lightning talk, Srini Kadamati will teach the key concepts behind time series analysis, visualization, and forecasting and how Pinot and Superset support these workflows.

Superset has two key workflows, designed to support all personas in an organization. SQL-savvy analysts can tap into SQL Lab, and stakeholders can use Explore, a no-code viz builder that generates SQL for you. In this talk, we’ll showcase how both workflows empower end users to visualize data from Dremio in Superset.

Query engines enable data-lake architectures by allowing SQL-queries on huge datasets in cheap cloud storage. Dremio is a high-performance data-lake query engine capable of sub-second queries over billions of datapoints. In this live demo, we will use Superset and Dremio together to enable high performance analytics on a huge dataset.

In this live demo, we will talk about a portable open-source data stack that includes Airbyte, dbt and Superset. We will also show how Preset uses open-source tools to better understand the needs of the Apache Superset community and others like it

ClickHouse is a blazing fast, open-source, OLAP database that was originally incubated at Yandex. ClickHouse is designed for analyzing data that’s frequently updated. In this talk, we’ll showcase the end-to-end workflow of connecting to ClickHouse in Superset and then crafting charts & dashboards to visualize real-time data.

What makes a dashboard effective? In this live demo, we'll draw on principles from data dashboard design to craft an effective marketing dashboard in Superset. We'll use funnel visualizations, maps, and time series visualizations to build our dashboard.

Do you want to use Superset to visualize streaming data or have a use case in mind? Do you currently use Superset with Kafka, Pulsar, or another streaming data system? Come to this discussion and let's build some knowledge on this topic in the community.

Data-lake architectures are an increasingly important part of the modern data landscape. In this Live Demo, we will explain the architectures enabled by AWS Athena, go through setup, and connect Athena to Apache Superset to enable visualization and analysis of the data stored in a data lake

In this Meetup, Amit Miran from Nielsen Israel R&D will discuss how they develop and deploy custom viz plugins for Superset in their infrastructure.

Celebrate May the 4th with this fun Star Wars themed data dashboarding demo. We'll push the customization limits of Superset and have fun playing with Star Wars datasets!

Superset was initially created to better support real-time use cases, where time series visualization and forecasting are both critical. In this live demo, Srini Kadamati will provide an overview of the Superset features specifically designed for time series visualization and forecasting.

In this live demo, Brian Olsen from the Trino project will walkthrough how to join data from MongoDB and Pinot using Trino to build some COVID activity dashboards in Superset.

Get a quick tour of Preset Cloud Beta, our hassle-free, fully managed service for Apache Superset! We will showcase the key Preset features, and how to get started from connecting your database to building your first dashboard.

In this small group setting (20 people max), let's discuss the common use cases and current challenges for embedding Superset, and brainstorm how to make Superset friendlier for embedding.

Superset at Airbnb handles 2,000 users, 50,000 SQL Lab queries, 6,000 dashboard views, and 125,000 dashboard on a weekly basis. In this talk, Erik Ritter will provide an overview of the different techniques they’ve used to scale Superset and how they’ve integrated Superset with the rest of their data tooling.

Want to contribute to Apache Superset but don't know where to start? In this bootcamp (limited to 20 people), we'll provide a gentle introduction to contributing to the Superset project!

In this small group setting (20 people max), a few committers will share context on the short-term roadmap and then will do an extensive Q&A. Bring your questions and suggestions!

Apache Druid is a column-oriented database optimized for high write volume, low latency reads, and time-series data. Learn how to load your time-series data into Druid, then take advantage of the power of Apache Superset to visualize and perform predictive analytics with Prophet.

Superset can query data from most SQL speaking data stores, as long as DB-API driver and SQLAlchemy dialect exists. In this live demo, we'll walk through a live example of adding database support in Superset.

Superset 1.0 is a monumental step forward. In this live demo, you'll get a tour of features like scheduled email reports and an overview of the design changes.

Superset has just crossed two major milestones: the release of Superset 1.0 and graduation from the Apache Software Foundation as a top level project! Join us in our first meetup of 2021, as we will recap all we accomplished in 2020 and whats in our latest 1.0 release.

Learn how to create chart annotations and how to use them effectively in different time series charts

Learn how to add date/time expressions, metrics, calculated columns, CVAS, CTAS, and saved queries. We will also offer live Q&A on things related to Superset!

In this community-wide virtual meetup, we will be going over our newly public Superset 1.0 roadmap, our most ambitious release to date!

Learn how to customize your Superset chart and dashboards: from customizing colors and fonts, chart layouts, and adding logos.  We will also offer live Q&A on things related to Superset! 

Superset basics: from integrating your datasource, importing your table, exploring charts, to creating dynamic dashboards with filters. We will also offer live Q&A on things related to Superset.