Providing Technology Training and Mentoring For Modern Technology Adoption
This tutorial is adapted from Web Age course Practical Machine Learning with Apache Spark. 8.1 Types of Machine Learning There are three main types of machine learning (ML), unsupervised learning, supervised learning, and reinforcement learning. We will be learning only about the unsupervised and supervised learning types. 8.2 Supervised vs Unsupervised Machine Learning In essence, unsupervised learning (UL) attempts to extract
This tutorial is adapted from Web Age course Confluent Kafka for System Administrators. 1.1 Planning for Kafka – Platform Regarding OS Platforms for Confluent Platform Linux is the primary platform for deploying Confluent Kafka. macOS is supported for testing/development purposes. Windows is not a supported platform. Confluent Platform can be deployed On-Premises or in cloud environments like AWS, Google
This tutorial is adapted from Web Age course Confluent Kafka for System Administrators. 1.1 Building Data Pipelines Data pipelines can involve various use cases: Building a data pipeline where Apache Kafka is one of the two endpoints. For example, getting data from Kafka to S3 or getting data from MongoDB into Kafka. Building a pipeline between
This tutorial is adapted from Web Age course Practical Machine Learning with Apache Spark. 6.1 Python Dev Tools and REPLs In addition to the standard Python REPL, Python development is supported through these tools and systems: IPython, Jupyter with Python kernel (runtime), Visual Studio Code’s Python plug-in, PySpark (integrated with Python REPL). 6.2 IPython IPython (Interactive Python) is a command shell
7.1 What is Data Visualization? The common wisdom states that seeing is believing and a picture is worth a thousand words. Data visualization techniques help users understand the data, underlying trends and patterns by displaying it in a variety of graphical forms (heatmaps, scatter plots, charts, etc.) Data visualization is also a great vehicle for communicating analysis results
1.1 The Traditional Client–Server Processing Pattern It is good for small-to-medium data set sizes. Fetching 1TB worth of data might take longer than 1 hour. 1.2 Enter Distributed Computing We need a new approach — distributed computing where processing is done on clusters of computers. But there are challenges like Process (Software) / Hardware failures,
1.1 Data is King Data is king and it outlives applications. Applications outlive integrations. Organizations striving to become data-driven need to institute efficient, intelligent, and robust ways for data processing. Data engineering addresses many of the aspects of this process. 1.2 Translating Data into Operational and Business Insights Success of organizations is predicated on their ability to convert raw
This tutorial is adapted from Web Age course Introduction to Angular 8 Programming. In this tutorial, we will develop a very simple single page application (SPA) using the Angular Component Router module. The main goal will be to understand how routing works. We will keep the business logic very simple. Part 1 – Get Started 1.
This tutorial is adapted from Web Age course Comprehensive Angular 8 Programming. 1.1 What is Material Design (MD)? Material Design is design language developed by Google. It was released in 2014 and incorporated into the Android OS. It is also available for other platforms (Angular, Web, iOS, Flutter, …). Developers can achieve uniformity in their applications
This tutorial is adapted from Web Age course Advanced Angular 8 Programming. 1.1 What is Authentication and Authorization? Authentication is the process of reliably identifying a user. Authorization is the process of giving a user access to only the resources she is allowed to access. Some common programming tasks that need authenication and authorization are: Provide a