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Makro-Lotus Group x Databricks Data Day Series
Welcome to the Makro-Lotus Group x Databricks Data Day Series! Hosted by Databricks, you’re invited to attend these specially curated tutorials designed for Makro-Lotus Group’s data community.
Through the use of data and AI, Databricks is committed to helping Makro-Lotus Group’s data community refocus efforts on areas that will rapidly deliver value and drive growth into the future.
Take advantage of these complimentary workshops to get a deeper understanding of how you can maximize the value of the data and AI technology platform, and how Databricks is able to help accelerate your data and AI use-cases of the future.
Continue learning and get certified!
Continue your Databricks learning journey and get accredited through the Databricks Academy self-paced training and get certified to get a badge to put on your Linkedin profile.
Foundational
General Track
DB 101 - Introduction to Databricks Lakehouse | 29
Mar, 10:30am - 12:00pm BKKT (during the launch event)
This high-level introduction of the Databricks Lakehouse Platform will look at the current use-cases of how Makro-Lotus Group's data teams leverage Databricks today, and how other leading consumer brands use Databricks to innovate faster.
DB 102 - Databricks Fundamentals | 29 Mar, 10:30am - 12:00pm BKKT (during the launch event)
This session will cover Databricks fundamentals and prepare you for successful onboarding. Specially designed for Admins, it focuses on how Databricks helps your data problems, provides an overview of the open source tools and features as well as the Databricks workspace and notebooks.
DE 103 - Delta Lake: The Foundation of Your Lakehouse | 4 Apr , 1:00pm - 2:00pm BKKT
This session covers the general introduction to Databricks and focuses on an introductory overview of Delta Lake. Discover how Delta Lake enables the foundation of the Lakehouse and its game-changing benefits to data engineering.
Modern Data Engineering
Deep Dive Track I
Dive into data engineering topics to achieve scale and performance with Delta Lake. Deepen your understanding of the Databricks lakehouse architecture with an intermediate-level hands-on lab.
Turbocharge Data Science
Deep Dive Track II
This will educate ML engineers and Data Scientists on how Databricks is able to offer a collaborative, data-native platform for data science and machine learning that empowers their ability to prepare and process data in a self-service manner — and manage the full ML lifecycle from experimentation to production.
Business & SQL Analytics
Deep Dive Track III
Looking at use cases that are important to data analysts and business users? Join this track and discover how you can build a lakehouse architecture that provides data warehousing performance at data lake economics, for up to 9x better price and performance than traditional cloud data warehouses.
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