Delta Live Tables In Azure Databricks

The Delta Live Tables In Azure Databricks presentation introduces those with minimal or no knowledge of the subject to the practical implementation of those concepts through demos using PySpark and SQL.

> TOPICS COVERED:
* Delta Live Tables Fundamentals
* Implement Delta Live Tables in Azure Databricks
* Using PySpark in Delta Live Tables
* Using SQL in Delta Live Tables
* ETL processing

Attendees will learn about delta live tables fundamentals, then be exposed to demos showing the steps to create, run, monitor, and review the processing of data. These step-by-step demos show the implementation of the concepts, guiding the audience through the process of analyzing and transforming data by using Delta Live Tables in Azure Databricks.

By the end of this presentation, attendees will be not only equipped with an understanding of key fundamental concepts and common practices but also the basic knowledge to opt to conduct their own experiments with Delta Live Tables In Azure Databricks.

Jump Start Your Azure Synapse Analytics Journey

The 'Jump Start Your Azure Synapse Analytics Journey' presentation by Adriano da Silva is a session designed for data professionals with little or no experience with the product who are looking for a path to not only quickly get up and running with the product but also a pathway to start using the product on their own implementations.

This presentation covers all key aspects necessary for anyone to get started with an Azure Synapse Analytics project within minutes. The material is delivered in an applied manner by covering key concepts and fundamentals but spends most of its time on step by step demonstrations on the most important features for a beginner to start working with data; including, how quickly build solutions using sample datasets from Open Datasets then get to use their very own data to perform Exploratory Data Analysis (EDA). Attendees will also learn how to analyze and visualize different types of files in Azure Storage with pySpark and Spark SQL.

At the end, attendees will be equipped with a framework to perform their own data explorations with Azure Synapse Analytics.

> Topics Covered:

* What is and the uses for Azure Synapse Analytics?
* How to setup your Azure Synapse Analytics workspace in Minutes?
* Using SQL to work with data at a Dedicated or at Serverless SQL pool
* Discover Samples, Templates and resources for you to continue with your learning.
* Explore data in Azure Data Lake Storage (ADLS) Gen2 files with Serverless Apache Spark pools on Azure Synapse Analytics using pySpark and Spark SQL.

Join us now to start your Azure Synapse Analytics journey Today!

Audience: Beginner
Requirements: None
Duration: 50 - 90 minutes

Delta Lake In Action with Azure Databricks

The Delta Lake In Action with Azure Databricks session is a dynamic and interactive presentation.

It starts by equipping all attendees with the foundational knowledge covering the key concepts and benefits of using Delta Lake for big data workloads to ensure that everyone can benefit from the presentation. In addition, this session also covers common architectural patterns used in Delta Lake to build data loads leveraging Data Lakes in an Azure environment.

> TOPICS COVERED:

* Delta Lake Concepts
* Benefits of Delta Lake in Azure Databricks
* Architectural Pattern used in Delta Lake
* Optimizing Delta Lake in Azure Databricks
* and more

The live demos will cover how to create, run, monitor, review, and optimize data processing. These demos illustrate and solidify concepts by guiding the audience through the process of analyzing and transforming data using Delta Lake in Azure Databricks.

In the end, attendees will not only learn about concepts, features, and capabilities, but they will see it in Action with Delta Lake in Azure Databricks.

This session introduces data professionals to the conceptual and applied use of Delta Lake in Azure Databricks.