www.databricks.com
Open in
urlscan Pro
2606:4700::6812:2b3
Public Scan
Submitted URL: https://info.databricks.com/MDk0LVlNUy02MjkAAAGIXoUFzf7zhw8rw21exWj9uoMGN_FZCE8wKSTq5q4ct1WfEAYwSaEHwMxq3XXzZmBJQWGLt1E=
Effective URL: https://www.databricks.com/dataaisummit/worldtour/americas?utm_source=databricks&utm_medium=email&utm_campaign=7013f000000T...
Submission Tags: falconsandbox
Submission: On February 25 via api from US — Scanned from DE
Effective URL: https://www.databricks.com/dataaisummit/worldtour/americas?utm_source=databricks&utm_medium=email&utm_campaign=7013f000000T...
Submission Tags: falconsandbox
Submission: On February 25 via api from US — Scanned from DE
Form analysis 1 forms found in the DOM
<form id="mktoForm_6052"></form>Text Content
This site works best with JavaScript enabled. Homepage Find My Location On demand Speakers Trainings Special Events Sponsors Health FAQ DECEMBER 13, 2022 DESTINATION LAKEHOUSE Virtual | 8:00 AM PST, 11:00 AM EST Watch On-demand DATA + AI WORLD TOUR AMERICAS Lakehouse is fast emerging as the new standard for data architecture but every region has its own unique stories and challenges. Please join us for this virtual event with speakers, customers and content designed with you in mind. Our lineup of data and AI experts, leaders and visionaries includes Arsalan Tavakoli, as well as Databricks customers from across the Americas. SPEAKERS Arsalan Tavakoli Co-Founder & SVP, Field Engineering Databricks Shant Hovsepian Principal Software Engineer Databricks Bilal Aslam Sr. Director, Product Management Databricks Patrick Wendell VP, Engineering Databricks AGENDA 11:00 AM Keynote 11:00 AM-12:45 PM Keynote: Discover Lakehouse As the worlds of data, analytics and AI become increasingly interconnected, there’s a growing need for a platform to unify data sources, use cases and workloads. The data lakehouse removes the barriers that separate business analysts from data scientists, structured data from real-time streaming and business intelligence from AI. This opening keynote explores how the lakehouse’s simple, open, multicloud approach simplifies data management, unifies data teams and productionizes more initiatives. Using a demo-driven approach, this keynote will clearly delineate how the major data workloads of data engineering, data warehousing, data science and machine learning are orchestrated within the architecture of the Databricks Lakehouse Platform. * The Case for Lakehouse, Breaking down the data and governance silos * The Case for Lakehouse, Customer Story * Data Engineering on the Lakehouse * Data Warehousing on the Lakehouse * Machine Learning on the Lakehouse Arsalan Tavakoli Databricks Shant Hovsepian Databricks Bilal Aslam Databricks Craig Wiley Databricks See Details 1:15 PM Breakout Session 1:15 PM-2:00 PM Destination 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 platform. In this session, learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload, with examples of real-customer applications, reference architectures, and demos to showcase how you can create modern data solutions of your own. Erika Ehrli See Details Breakout Session 1:15 PM-2:00 PM Data Warehousing on the Lakehouse The data lakehouse is the next best data warehouse. In this session, learn how Databricks SQL can help you lower costs and get started in seconds with instant, elastic SQL serverless compute, and how to empower every analytics engineers and analysts to quickly find and share new insights using their favorite BI and SQL tools, like Fivetran, dbt, Tableau or PowerBI. Franco Patano Databricks See Details Breakout Session 1:15 PM-2:00 PM ML 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 cases and see the product in action. Prem Prakash Databricks Nicolas Pelaez Databricks See Details Training 1:15 PM-2:50 PM Training: Databricks Lakehouse Overview Join the Databricks Lakehouse Overview session to discover how the Databricks Lakehouse Platform can help you compete in the world of big data and artificial intelligence. You’ll be introduced to foundational concepts in big data, explain key roles and abilities to look for when building data teams, and familiarize yourself with all parts of a complete data landscape. We’ll also review how the Databricks Lakehouse Platform can help your organization streamline workflows, break down silos, and make the most out of your data. See Details 3:10 PM Breakout Session 3:10 PM-3:55 PM Delta 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 transformation and ETL. DLT is the first ETL framework to use modern software engineering practices to deliver reliable and trusted data pipelines at any scale. Discover how analysts and data engineers can innovate rapidly with simple pipeline development and maintenance, how to remove operational complexity by automating administrative tasks and gaining visibility into pipeline operations, how built-in quality controls and monitoring ensure accurate BI, data science, and ML, and how simplified batch and streaming can be implemented with self-optimizing and auto-scaling data pipelines. Paul Lappas Databricks See Details Breakout Session 3:10 PM-3:55 PM Radical Speed on the Lakehouses: Photon Under the Hood To make the lakehouse a reality, the query engine needs to support both structured and unstructured data, while providing the performance of a data warehouse and the scalability of data lakes. In this session, learn how Databricks’ next generation vectorized engine Photon outperforms existing data warehouses in SQL workloads and implements a more general execution framework for efficient processing of data with support of the Apache Spark™ API. Justin Breese Databricks See Details Breakout Session 3:10 PM-3:55 PM MLOps on Databricks: Unifying DataOps, ModelsOps, and DevOps On One Platform As companies roll out ML pervasively, operational concerns become the primary source of complexity. Machine Learning Operations (MLOps) has emerged as a practice to manage this complexity. At Databricks, we see firsthand how customers develop their MLOps approaches across a huge variety of teams and businesses. In this session, we will share how Databricks uniquely solves this by unifying the key aspects of MLOps, namely DataOps, ModelsOps and DevOps, on a unified platform through the Lakehouse, enabling faster and more reliable production ML . We will show how your organization can build robust MLOps practices incrementally. and unpack general principles which can guide your organization’s decisions for MLOps, presenting the most common target architectures we observe across customers. Rafi Kurlansik Databricks See Details 4:05 PM Breakout Session 4:05 PM-4:50 PM Orchestration 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 Workflows: a fully managed orchestration service for all your data, analytics, and AI, built in the Databricks Lakehouse Platform. Join us as we dive deep into the new workflow capabilities, and understand the integration with the underlying platform. You will learn how to create and run reliable production workflows, centrally manage and monitor workflows, and learn how to implement recovery actions such as repair and run, as well as other new features. Roland Fäustlin Databricks See Details Breakout Session 4:05 PM-4:50 PM Data Streaming on the Lakehouse 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 their data pipelines and applications on new, complex, proprietary, and disjointed technology stacks. Steven Yu Databricks Siddhartha Agarwal Databricks See Details 5:00 PM Breakout Session 5:00 PM-5:45 PM Simplifying 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 Databricks, and will walk through some of the customer journeys and use cases. Ron Guerrero Databricks Ramachandran Venkat Databricks See Details Breakout Session 5:00 PM-5:45 PM Unity 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 performance and security. Built-in automated data lineage provides end-to-end visibility into how data flows from source to consumption, so that organizations can identify and diagnose the impact of data changes. Unity Catalog delivers the flexibility to leverage existing data catalogs and solutions and establish a future-proof, centralized governance without expensive migration costs. It also creates detailed audit reports for data compliance and security, while ensuring data teams can quickly discover and reference data for BI, analytics, and ML workloads, accelerating time to value. Zeashan Pappa Databricks See Details Breakout Session 5:00 PM-5:45 PM Deep 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 BI. In this deep dive demo session, we show you how easy it is to integrate the Databricks Lakehouse Platform into your modern data stack to connect all your data tools across SQL, AI/ML, and streaming, and discover new methods to unlock insights faster. Tahir Fayyaz Databricks See Details PROUDLY SPONSORED BY Privacy Privacy Privacy Privacy Homepage * LONDON * PARIS * MUNICH * SYDNEY * NEW YORK CITY * EMEA VIRTUAL * ASIA-PACIFIC VIRTUAL * JAPAN VIRTUAL * KOREA VIRTUAL * AMERICAS VIRTUAL * Privacy Notice (Updated) * Terms of use * Your Privacy Choices * Your California Privacy Rights * © Databricks 2023. All rights reserved. Apache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event. WE CARE ABOUT YOUR PRIVACY By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Manage Preferences Reject all cookies Accept all cookies PRIVACY PREFERENCE CENTER * YOUR PRIVACY * STRICTLY NECESSARY COOKIES * PERFORMANCE COOKIES * FUNCTIONAL COOKIES * TARGETING COOKIES YOUR PRIVACY When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies. Click on the different category headings to find out more and change our default settings. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. More information STRICTLY NECESSARY COOKIES Always Active These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. PERFORMANCE COOKIES Performance Cookies These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. FUNCTIONAL COOKIES Functional Cookies These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly. TARGETING COOKIES Targeting Cookies These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant advertisements on other sites. If you do not allow these cookies, you will experience less targeted advertising. Back Button BACK Filter Button Consent Leg.Interest Switch Label label Switch Label label Switch Label label Clear checkbox label label Apply Cancel Confirm My Choices Reject All Allow All