
Overview

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This conference talk explores how to maximize the value of different data types using Python. Begin with an introduction to data unlocking techniques, then learn about various data types including semi-structured, unstructured, and structured formats. Discover the capabilities of Apache Iceberg for structured data management and dive into its key features for data organization. Explore Snowpark's Python integration for data processing, followed by an examination of how Apache NiFi works with Python to streamline data workflows. The presentation covers specific NiFi processors and their practical applications, includes live demonstrations of these concepts in action, and concludes with valuable resources for further learning. Perfect for data engineers and analysts looking to enhance their Python-based data processing capabilities.
Syllabus
00:00 Introduction to Unlocking Data with Python
01:32 Overview of Data Types
01:48 Exploring Semi-Structured Data
03:00 Working with Unstructured Data
03:47 Structured Data and Iceberg
04:30 Deep Dive into Iceberg Features
07:47 Introduction to Snowpark and Python
09:54 Apache NiFi and Python Integration
10:32 NiFi Processors and Use Cases
16:11 Live Demos and Practical Applications
23:24 Conclusion and Resources
Taught by
Conf42