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Apache Spark for Large-Scale Data Engineering and Analytics

Talks on building ETL pipelines, using Spark SQL, and implementing real-time processing with Structured Streaming. Learn performance tuning and best practices for distributed data workloads.

03:54 MIN

Core components and satellite architecture of the data lake

Empowering Retail Through Applied Machine Learning

02:51 MIN

Choosing the right tech stack for your use case

Unboxing the DeepFace

04:37 MIN

Building and iterating on micro-applications with GitHub Spark

Innovating Developer Tools with AI: Insights from GitHub Next

02:56 MIN

An introduction to the Apache Spark analytics engine

PySpark - Combining Machine Learning & Big Data

05:53 MIN

Q&A on parallel computing, data versioning, and security

DevOps for Machine Learning

04:33 MIN

Exploring the key features of the Spark MLlib library

PySpark - Combining Machine Learning & Big Data

05:06 MIN

Using Python with Spark through the PySpark library

PySpark - Combining Machine Learning & Big Data

01:29 MIN

Q&A: Raw data formats and comparing dbt to Spark

Enjoying SQL data pipelines with dbt

11:19 MIN

How the Spark cluster architecture enables parallel processing

PySpark - Combining Machine Learning & Big Data

01:46 MIN

Going beyond standard aggregations in Spark

Let's Get Aggregated: Custom UDAFs in Spark

03:05 MIN

Pre-built algorithms and utilities available in Spark MLlib

PySpark - Combining Machine Learning & Big Data

03:43 MIN

Understanding the Spark Aggregator interface

Let's Get Aggregated: Custom UDAFs in Spark

04:43 MIN

Exploring the core features of the Databricks workspace

Fully Orchestrating Databricks from Airflow

04:41 MIN

Answering questions on deployment, performance, and tooling

Fully Orchestrating Databricks from Airflow

02:22 MIN

Separating offline and online data processing

Building the platform for providing ML predictions based on real-time player activity

02:59 MIN

Comparing methods for machine learning with databases

Using WebAssembly for in-database Machine Learning

02:45 MIN

Key use cases for custom aggregation functions

Let's Get Aggregated: Custom UDAFs in Spark

01:09 MIN

Overview of popular stream processing frameworks

Why and when should we consider Stream Processing frameworks in our solutions

03:10 MIN

Using provocative language to activate cultural change

Empowering People in a Digital World: HR’s Next Big Chapter

08:03 MIN

Recognizing the late-stage signs of burnout

Leading with Care: Tackling Burnout and Mental Health

04:21 MIN

The standard workflow for machine learning in PySpark

PySpark - Combining Machine Learning & Big Data

04:32 MIN

Introducing the serverless IoT buzzwire game

Building your way to a serverless powered IOT Buzzwire game

03:50 MIN

Understanding Spark's core data APIs and abstractions

PySpark - Combining Machine Learning & Big Data

01:33 MIN

Leveraging complex data structures in UDAFs

Let's Get Aggregated: Custom UDAFs in Spark

01:07 MIN

Analyzing the performance gains of the custom UDAF

Let's Get Aggregated: Custom UDAFs in Spark

02:37 MIN

Understanding the scale of a large financial services platform

Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?

01:48 MIN

Building sustainable hardware with open source

IoT: The road to sustainability

02:23 MIN

Introduction to Finanz Informatik and its banking services

Enterprise-Cloud-Native - Fast-Paced Development & Deployment in a Highly Secure Banking Environment

01:34 MIN

Discovering a passion for coding with early computers

Coffee with Developers - Andrew Taylor - CODE100 Manchester

05:41 MIN

Curiosity as the foundation for learning and adaptation

The Competitive Advantage of Curious Organizations

03:11 MIN

The ethics of human interaction with AI assistants

WeAreDevelopers LIVE - CSS or BS?

02:47 MIN

Gmail is ending POP support and what it represents

WeAreDevelopers LIVE - Markdown, Liquid and Checkouts

07:44 MIN

Fostering curiosity and trust for AI adoption

What Happens to Leadership When AI Becomes a Teammate?

03:05 MIN

Building collaborative design tools and the neo-brutalism trend

Slopquatting, API Keys, Fun with Fonts, Recruiters vs AI and more - The Best of LIVE 2025 - Part 2

03:47 MIN

Remembering the creative API mashup era of the 2000s

MCP Mashups: How AI Agents are Reviving the Programmable Web

04:31 MIN

Doom's lasting impact on gaming and modding culture

30 Years of Rip and Tear: Doom’s development story

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