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Grab Data Day Series | Databricks

Post-Event Survey

What would you like to see at the next Grab Data Day? Kindly note all information below is required for smooth delivery of Databricks swag pack.
1.Corporate Email Address(Required.)
2.Full Name(Required.)
3.Mobile Number(Required.)
4.Full Address(Required.)
5.Postal Code(Required.)
6.Country(Required.)
7.Have you completed 4 optional deep dive sessions to qualify for the Databricks Swag giveaway? If so, please ensure to provide your delivery details above.(Required.)
8.Please indicate which sessions you've attended:(Required.)
9.The sessions and topics were relevant to my learning needs.(Required.)
Strongly Disagree
Strongly Agree
DB 101 - Introduction to Databricks Lakehouse
DB 201 - Delta Lake: The Foundation of Your Lakehouse
DB 104 - Databricks Fundamentals
DE 202 - Deep Dive Into How Delta Lake Brings Scale & Performance
DE 203 - Data Engineering Hands-on Labs
DE 204 - Delta Advanced
DE 205 - Delta and Structured Streaming
DS 301 - Databricks for Data Science and ML Overview
DS 302 - Databricks Data Science Demo & Walkthrough
DS 303 - ML Workshop & Hands-on Labs
DS 304 - Introduction to Koalas
SQLA 401 - Enable data teams for SQL processing and BI analytics
DB 102- Introduction to Spark and Optimising Spark Queries
SQLA 402 - SQL Analytics Hands-on Labs
10.I am satisfied with the presenters' knowledge of topics(Required.)
Strongly Disagree
Strongly Agree
DB 101 - Introduction to Databricks Lakehouse
DB 201 - Delta Lake: The Foundation of Your Lakehouse
DB 104 - Databricks Fundamentals
DE 202 - Deep Dive Into How Delta Lake Brings Scale & Performance
DE 203 - Data Engineering Hands-on Labs
DE 204 - Delta Advanced
DE 205 - Delta and Structured Streaming
DS 301 - Databricks for Data Science and ML Overview
DS 302 - Databricks Data Science Demo & Walkthrough
DS 303 - ML Workshop & Hands-on Labs
DS 304 - Introduction to Koalas
SQLA 401 - Enable data teams for SQL processing and BI analytics
DB 102- Introduction to Spark and Optimising Spark Queries
SQLA 402 - SQL Analytics Hands-on Labs
11.What do you think of the duration of the Grab Data Day?(Required.)
Too Short
Too Long
DB 101 - Introduction to Databricks Lakehouse
DB 201 - Delta Lake: The Foundation of Your Lakehouse
DB 104 - Databricks Fundamentals
DE 202 - Deep Dive Into How Delta Lake Brings Scale & Performance
DE 203 - Data Engineering Hands-on Labs
DE 204 - Delta Advanced
DE 205 - Delta and Structured Streaming
DS 301 - Databricks for Data Science and ML Overview
DS 302 - Databricks Data Science Demo & Walkthrough
DS 303 - ML Workshop & Hands-on Labs
DS 304 - Introduction to Koalas
SQLA 401 - Enable data teams for SQL processing and BI analytics
DB 102- Introduction to Spark and Optimising Spark Queries
SQLA 402 - SQL Analytics Hands-on Labs
12.What do you think of the difficulty level of the sessions?(Required.)
Too Easy
Too Difficult
DB 101 - Introduction to Databricks Lakehouse
DB 201 - Delta Lake: The Foundation of Your Lakehouse
DB 104 - Databricks Fundamentals
DE 202 - Deep Dive Into How Delta Lake Brings Scale & Performance
DE 203 - Data Engineering Hands-on Labs
DE 204 - Delta Advanced
DE 205 - Delta and Structured Streaming
DS 301 - Databricks for Data Science and ML Overview
DS 302 - Databricks Data Science Demo & Walkthrough
DS 303 - ML Workshop & Hands-on Labs
DS 304 - Introduction to Koalas
SQLA 401 - Enable data teams for SQL processing and BI analytics
DB 102- Introduction to Spark and Optimising Spark Queries
SQLA 402 - SQL Analytics Hands-on Labs
13.Please select the most relevant topics you're interested to learn more about(Required.)
14.Would you like to have a follow up session with the Databricks team?(Required.)
15.Any additional topics that you would like to know about about?
16.What would you change about the event or topics?
I agree that by signing up for this event, I am expressly consenting to provide my registration information, including name, email, etc., to Databricks and to the co-sponsor(s) of the event. Databricks and each co-sponsor may use my information in accordance with their privacy policy (see the event details for applicable privacy policies). Databricks Privacy Policy: https://databricks.com/privacypolicy