Data Protection Courses

ChariotSolutions

IoT Data Processing and Analysis on AWS - Real-Time and Ad-Hoc Approaches

Explore IoT data processing on AWS, covering real-time analysis, streaming frameworks, data persistence, and serialization formats for effective metric data management and analysis.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

ChariotSolutions

Clojure Spec: Expressing Data Constraints without Types

Explore Clojure's spec library for declarative data and function specifications, enhancing validation, documentation, and testing in a dynamic, REPL-driven development environment.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

ChariotSolutions

Building Data Breach and Subpoena Resistant Applications - Philly ETE 2017

Explore cryptographic techniques and messaging systems to build applications resistant to data breaches and subpoenas, setting new standards for user data security.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

ChariotSolutions

Stream All Things - Patterns of Modern Data Integration

Explore patterns for modern data integration using Apache Kafka. Learn to build fast, scalable, and manageable data pipelines for reliable stream processing and low-latency applications.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

ChariotSolutions

AI: A Return to Meaning - From Theory-Driven to Data-Driven Approaches

Explore AI's evolution from theory-driven to data-driven approaches, examining Watson's development and the future of machine learning, reasoning, and natural language understanding.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

ChariotSolutions

Unleash Your Data with Clojure: Using Transducers and Sequences - Lecture 16

Explore Clojure's functional approach to data transformation using sequences, reducers, and transducers. Learn how immutable values and persistent collections lead to more efficient, reusable, and bug-free code.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

ChariotSolutions

Reactive Streams - Handling Data-Flows the Reactive Way

Explore reactive streams for handling data flows, focusing on back-pressure and distributed processing. Learn principles, examples, and implementations using Akka and Java 8.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

ChariotSolutions

Managing Reference Data with Sirius - Not-So-Big Data After All

Explore managing reference data with Sirius, an open-source library for efficient data access and distributed systems management. Learn architecture, use cases, and real-world applications.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

ChariotSolutions

A Look at Polyglot Data and Event Sourcing - Lecture 24

Explore polyglot data and event sourcing to choose the right data model for your problem, focusing on multiple representations and avoiding accidental complexity.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

ChariotSolutions

Marathon: An Init.d for Your Whole Data Center

Marathon: A framework for fault-tolerant, elastic scale-out architecture. Simplifies deployment, scaling, and management of long-lived applications in data centers. Supports Docker containers and provides REST API for app lifecycle control.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Open Data Science

Getting Into Data Engineering

Explore data engineering career paths, industry changes, and essential skills with Joe Reis. Gain insights on transitioning from software engineering or data analysis roles and receive valuable career advice.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Australian Water School

QGIS for Preparing and Visualising Hydrological Data

Learn to preprocess and visualize hydrological data using QGIS. Explore catchment derivation, stream network creation, map design, and 2D/3D visualization techniques for effective water modeling and analysis.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Australian Water School

Smart Grids and the Flow of Open Data

Explore SA Water's $4 million investment in smart technology for Adelaide CBD, including sensors and smart meters, and its impact on analytics, field staff, and customers.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Jeff Heaton

How Much Data Is Enough to Build a Machine Learning Model

Explore techniques to measure data coverage for machine learning models, ensuring sufficient multivariate representation and understanding extrapolation in high dimensions.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Black Hat

The Data Distribution Service - DDS - Protocol is Critical - Let's Use it Securely

Explores vulnerabilities in DDS implementations, crucial for autonomous driving, healthcare, military systems. Discusses security implications and importance of secure usage in critical technologies.

• YouTube
• 35 minutes
• Self-Paced
• Conference Talk