June 27–30, 2022
SPECIAL EVENT
Databricks Experience
June 27–30, 2022
To help you get the most from Data + AI Summit,, we’ve introduced the Databricks Experience (DBX) — for customers, those new to Databricks and everyone in-between. Through a curated set of content and sessions, explore and learn how to build a modern data stack using the Databricks Lakehouse Platform. These sessions are designed for data teams looking to implement a simple, open, multicloud data platform that supports high-performance streaming, data engineering, data science, data warehousing, machine learning, and business intelligence capabilities. With the Databricks Experience, you’ll get access to technical content focused on:
- Product deep dives covering the Databricks Lakehouse Platform, with sessions on Delta Lake, Unity Catalog, Databricks SQL, Delta Live Tables, MLflow and more
- Training and certification on everything Databricks, from Apache Spark™ programming to building ETL pipelines to building models and managing the machine learning workflow
- News on the latest products, features and innovations
Agenda
Tuesday
10:45 AM
Session
10:45 AM-11:20 AMDestination Lakehouse: All Your Data, Analytics and AI on One Platform
The data lakehouse is the future for modern data teams seeking to innovate with a data architecture that simplifies data workloads, eases collaboration, and maintains the flexibility and openness to stay agile as a company scales. The Databricks Lakehouse Platform realizes this idea by unifying analytics, data engineering, machine learning, and streaming workloads across clouds on one simple, open data plat...
Erika Ehrli
Databricks
Bharath Gowda
Databricks
+1
And one more
Session
10:45 AM-11:20 AMUnity Catalog: Journey to unified governance for your Data and AI assets on Lakehouse
Modern data assets take many forms: not just files or tables, but dashboards, ML models, and unstructured data like video and images, all of which cannot be governed and managed by legacy data governance solutions. Join this session to learn how data teams can use Unity Catalog to centrally manage all data and AI assets with a common governance model based on familiar ANSI SQL, ensuring much better native p...
Todd Greenstein
Databricks
Yuyuan Tang
Databricks
11:30 AM
Session
11:30 AM-12:05 PMScaling Your Workloads with Databricks Serverless
Databricks SQL provides a first-class user experience for BI and SQL directly on the lakehouse platform. But you still need to administer and maintain clusters of virtual machines. What if you could focus on your Databricks SQL queries and never need to worry about the underlying compute infrastructure? Learn how Databricks Serverless, built into the Databricks Lakehouse Platform, eliminates cluster managem...
Nikhil Jethava
Databricks
Aaron Davidson
Databricks
+1
And one more
2:05 PM
Session
2:05 PM-2:40 PMDelta Lake, the Foundation of Your Lakehouse
Delta Lake is the open source storage layer that makes the Databricks Lakehouse Platform possible by adding reliability, performance, and scalability to your data, wherever it is located. Join this session for an inside look at what is under the hood of Databricks - see how Delta Lake, by adding ACID transactions and versioning to Parquet files together with the Photon engine, provides customers with huge p...
Hagai Attias
Akamai Technologies
Himanshu Raja
Databricks
2:50 PM
Session
2:50 PM-3:25 PMHassle-Free Data Ingestion into the Lakehouse
Ingesting data from hundreds of different data sources is critical before organizations can execute advanced analytics, data science, and machine learning. Unfortunately, ingesting and unifying this data to create a reliable single source of truth is usually extremely time-consuming and costly. In this session, discover how Databricks simplifies data ingestion, at low latency, with SQL-only ingestion capabi...
Benyue Liu
Databricks
Burak Yavuz
Databricks
Session
2:50 PM-3:25 PMDatabricks SQL Under the Hood: What's New with Live Demos
With serverless SQL compute and built-in governance, Databricks SQL lets every analyst and analytics engineer easily ingest, transform, and query the freshest data directly on your data lake, using their tools of choice like Fivetran, dbt, PowerBI or Tableau, and standard SQL. There is no need to move data to another system. All this takes place at virtually any scale, at a fraction of the cost of tradition...
Miranda Luna
Databricks
Can Efeoglu
Databricks
4:00 PM
Session
4:00 PM-4:35 PMDelta Sharing - A New Paradigm for Secure Data Sharing and Data Collaboration on Lakehouse
Data sharing and data collaboration have become important in today's hyper connected digital economy. But to date, a lack of standards-based data sharing protocol has resulted in data sharing solutions tied to a single vendor or commercial product introducing vendor lock-in risks. What the industry deserves is an open approach to data sharing. Additionally, with stringent privacy regulations, data collabora...
Jay Bhankaria
Databricks
Celia Kung
Databricks
+1
And one more
4:45 PM
Session
4:45 PM-5:20 PMA Practitioner's Guide to Unity Catalog—A Technical Deep Dive
As a practitioner, managing and governing data assets and ML models in the data lakehouse is critical for your business initiatives to be successful. With Databricks Unity Catalog, you have a unified governance solution for all data and AI asserts in your lakehouse, giving you much better performance, management and security on any cloud. When deploying Unity Catalog for your lakehouse, you must be prepared...
Zeashan Pappa
Databricks
Ifi Derekli
Databricks
+1
And one more
5:30 PM
Session
5:30 PM-6:05 PMAdministrator Best Practices and Tips for Future-proofing your Databricks Account
You’ve started using Databricks. Your initial set of users, access controls, and workspace are configured. Everything is great, but you’re onboarding more and more teams to the platform. That initial pilot has become an enterprise deployment. How do you make the most of the Databricks administration capabilities to operate at scale? In this session, you will receive best practice guidance from our product t...
Vicky Avison
Plexure
Gaurav Bhatnagar
Databricks
+1
And one more
Wednesday
10:45 AM
Session
10:45 AM-11:20 AMEnable Production ML with Databricks Feature Store
Productionalizing ML models is hard. In fact, very few ML projects make it to production, and one of the hardest problems is data! Most AI platforms are disconnected from the data platform, making it challenging to keep features constantly updated and available in real-time. Offline/online skew prevents models from being used in real-time or, worse, introduces bugs and biases in production. Building systems...
Aakrati Talati
Databricks
Avesh Singh
Databricks
Session
10:45 AM-11:20 AMDive Deeper into Data Engineering on Databricks
To derive value from data, engineers need to collect, transform, and orchestrate data from various data types and source systems. However, today’s data engineering solutions support only a limited number of delivery styles, involve a significant amount of hand-coding, and have become resource-intensive. Modern data engineering requires more advanced data lifecycle for data ingestion, transformation, and pro...
Frank Munz
Databricks
Paul Lappas
Databricks
+1
And one more
11:30 AM
Session
11:30 AM-12:05 PMDelta Live Tables: Modern software engineering and management for ETL
Data engineers have the difficult task of cleansing complex, diverse data, and transforming it into a usable source to drive data analytics, data science, and machine learning. They need to know the data infrastructure platform in depth, build complex queries in various languages and stitch them together for production. Join this talk to learn how Delta Live Tables (DLT) simplifies the complexity of data tr...
Michael Armbrust
Databricks
Session
11:30 AM-12:05 PMML on the Lakehouse: Bringing Data and ML Together to Accelerate AI Use Cases
Discover the latest innovations from Databricks that can help you build and operationalize the next generation of machine learning solutions. This session will dive into Databricks Machine Learning, a data-centric AI platform that spans the full machine learning lifecycle - from data ingestion and model training to production MLOps. You'll learn about key capabilities that you can leverage in your ML use ca...
Prem Prakash
Databricks
Kasey Uhlenhuth
Databricks
+1
And one more
2:05 PM
Session
2:05 PM-2:40 PMOrchestration Made Easy with Databricks Workflows
Orchestrating and managing end-to-end production pipelines have remained a bottleneck for many organizations. Data teams spend too much time stitching pipeline tasks and manually managing and monitoring the orchestration process – with heavy reliance on external or cloud-specific orchestration solutions, all of which slow down the delivery of new data. In this session, we introduce you to Databricks Workflo...
Roland Fäustlin
Databricks
Robert Saxby
Databricks
2:50 PM
Session
2:50 PM-3:25 PMRealize the Promise of Streaming with the Databricks Lakehouse Platform
Streaming is the future of all data pipelines and applications. It enables businesses to make data-driven decisions sooner and react faster, develop data-driven applications considered previously impossible, and deliver new and differentiated experiences to customers. However, many organizations have not realized the promise of streaming to its full potential because it requires them to completely redevelop...
Steven Yu
Databricks
Erica Lee
Upwork
+1
And one more
4:00 PM
Session
4:00 PM-4:35 PMRadical Speed on the Lakehouses: Photon under the hood
Many organizations are standardizing on the lakehouse, however, this new architecture poses challenges with an underlying query execution engine for accessing structured and unstructured data. The execution engine needs to provide the performance of a data warehouse and the scalability of data lakes. To ensure optimum performance, the Databricks Lakehouse Platform offers Photon. This next-gen vectorized que...
Sriram Krishnamurthy
Databricks
Justin Breese
Databricks
4:45 PM
Session
4:45 PM-5:20 PMLow-Code Machine Learning on Databricks with AutoML
Teams across an organization should be able to use predictive analytics for their business. While there are data scientists and data engineers who can leverage code to build ML models, there are domain experts and analysts who can benefit from low-code tools to build ML solutions.
Join this session to learn how you can leverage Databricks AutoML and other low-code tools to build, train and dep...
Join this session to learn how you can leverage Databricks AutoML and other low-code tools to build, train and dep...
Stephanie Rivera
Databricks
Nicolas Pelaez
Databricks
5:30 PM
Session
5:30 PM-6:05 PMThe Databricks Notebook: Front Door of the Lakehouse
One of the greatest data challenges organizations face is the sprawl of disparate toolchains, multiple vendors, and siloed teams. This can result in each team working on their own subset of data, preventing the delivery of cohesive and comprehensive insights and inhibiting the value that data can provide. This problem is not insurmountable, however; it can be fixed by a collaborative platform that enables ...
Rafi Kurlansik
Databricks
Austin Ford
Databricks
Thursday
8:30 AM
Session
8:30 AM-9:05 AMMigrate Your Existing DAGs to Databricks Workflows
In this session, you will learn the benefits of orchestrating your business-critical ETL and ML workloads within the lakehouse, as well as how to migrate and consolidate your existing workflows to Databricks Workflows - a fully managed lakehouse orchestration service that allows you to run workflows on any cloud. We’ll walk you through different migration scenarios and share lessons learned and recommendati...
Jan van der Vegt
Databricks
Robert Saxby
Databricks
9:15 AM
Session
9:15 AM-9:50 AMSimplifying Migrations to Lakehouse—the Databricks Way
Customers around the world are experiencing tremendous success migrating from legacy on-premises Hadoop architectures to a modern Databricks Lakehouse in the cloud. At Databricks, we have formulated a migration methodology that helps customers sail through this migration journey with ease. In this talk, we will touch upon some of the key elements that minimize risks and simplify the process of migrating to ...
Ron Guerrero
Databricks
Ramachandran Venkat
Databricks
10:00 AM
Session
10:00 AM-10:35 AMDeep Dive: How to Build Your Modern Data Stack on Databricks to Solve Modern Problems
Everyone wants to reduce the time it takes to turn data into actionable information. This often involves integrating several data tools in what has become known as the modern data stack (MDS). But, most approaches have only focused on half the problem by rooting the MDS in the data warehouse. A true MDS should solve all modern problems, and this means tackling AI and streaming in addition to reporting and B...
Amit Kara
Databricks
Tahir Fayyaz
Databricks
10:45 AM
Session
10:45 AM-12:05 PMHow To Use Databricks SQL for Analytics on Your Lakehouse
Most organizations run complex cloud data architectures that silo applications, users, and data. As a result, most analysis is performed with stale data and there isn’t a single source of truth of data for analytics.
Join this interactive follow-along deep dive demo to learn how Databricks SQL allows you to operate a multicloud lakehouse architecture that delivers data warehouse performance at...
Join this interactive follow-along deep dive demo to learn how Databricks SQL allows you to operate a multicloud lakehouse architecture that delivers data warehouse performance at...
Pearl Ubaru
Databricks