January 
10
, 
2019

11:30AM

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Productionizing ML with Delta Lake Demo

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November
 
22
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About

Build a reliable and scalable modern data architecture

The widespread adoption of Apache Spark™, the first unified analytics engine, has helped data professionals make great strides in data science and machine learning. Yet, their upstream data lakes still face reliability challenges when it comes to building production data pipelines at scale to power these initiatives.

 

Delta Lake is an open source storage layer that brings reliability to data lakes. It has numerous reliability features including ACID transactions, scalable metadata handling, and unified streaming and batch data processing. It also offers DML commands to update, delete, and merge data for your data lifecycle, such as for GDPR/CCPA. Delta Lake runs on top of your existing data lake, such as on Azure Data Lake Storage, AWS S3, Hadoop HDFS, or on-premise, and is fully compatible with Apache Spark APIs. 

 

Join this hands-on lab to learn how Delta Lake can help you build robust production data pipelines at scale. This event will give you the opportunity to:

 

Gain an understanding of the Delta Lake open source project
Learn how to build highly scalable and reliable data pipelines using Delta Lake
See Delta Lake in action with a demo and hands-on code walkthrough
Ask Databricks experts your most challenging data questions 
Network and learn from your data engineering and data science peers



Space is limited! RSVP now to save your spot.

In this workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your Azure investments to make your data lake analytics ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact - lowering costs, changing time to market, and even revolutionizing industries.


Join this workshop to learn how you can leverage your data lake for powerful analytics insights. This workshop will give you the opportunity to:


-Learn how to build highly scalable and reliable data pipelines for analytics
-See how to make your existing Azure Data Lake analytics-ready with open-source Delta Lake technology
-Integrate that data with services such as Azure Data Lake Storage, Azure Data Factory, Azure Synapse
Analytics, Azure DevOps and Power BI as well as leveraging your Azure Active Directory security and roles without moving your data out of your account

 


Event Sponsor: Databricks (Databricks Privacy Policy)
Event Co-Sponsor: Microsoft Corporation (Microsoft Privacy Statement)

Event Co-Sponsor: Qlik (Qlik Privacy Statement)

 

Date & Time

12
/
08
/
2020
 
9:00am
 - 
11:00am 
PST

Location

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RSVP now to save your spot.

Agenda

9:00 AM PST

Databricks and Partner Keynote

9:15 AM PST

Customer Presentation

9:30 AM PST

Data Engineering Hands-on Lab: Preparing Data for Analytics

10:50 AM PST

Partner Demo

11:00AM PST

Q&A

Speaker Highlights

Joe Spinelle

Director of Engineering & Technology

J.B. Hunt Transport

Jordan Martz

Principal Solutions Architect - Partner Engineering

Qlik

ANGELA CHU

Solutions Architect

Databricks

Samir Gupta

Sr Solutions Architect

Databricks

Chris Chalcraft

Solutions Architect

Databricks

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Thank you for registering for Modern Data Engineering Workshop with Azure Databricks

 


We look forward to connecting with you virtually!


Date: Thursday, December 8th, 2020


Link to join workshop




Vish Gupta is a host of exceptional ability. Studies show that a vast majority of guests attending events by Vish have been known to leave more elated than visitors to Santa's Workshop, The Lost of Continent of Atlantis, and the Fountain of Youth.

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