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This lesson provides a foundational overview of the history and core concepts of data analytics, leading into the modern AWS data analytics pipeline and the concept of a data lake, based on the provided document 'History of Analytics and Big Data'. The session will start by covering the historical evolution from traditional data warehousing to the current 'New World Order' driven by technologies like Hadoop and cloud computing. We will then dissect the modern analytics pipeline, covering the key stages: Collection, Storage (hot, warm, cold data), Processing, and Visualization (referencing the Gartner Analytics Maturity Model). The majority of the lesson will focus on mapping these conceptual stages to the AWS Big Data Reference Architecture, identifying core services like Amazon S3, AWS Glue, Amazon Kinesis, and Amazon QuickSight. Finally, the lesson will define the data lake concept and briefly outline the five steps to building one on AWS, positioning AWS Lake Formation as a service that simplifies this process. The lesson will conclude with a recommendation to attempt the assessment questions from the chapter to self-evaluate understanding.
This lesson introduces the foundational concepts of data collection within the AWS ecosystem, based on the introduction of the provided document. It will cover the role of data collection as the first stage of a big data pipeline and categorize the primary data sources: existing transactional systems (e.g., CRM, POS), streaming data (e.g., IoT, social media), and files (e.g., web server logs). We will discuss the key characteristics to consider when choosing a collection system, such as data frequency, volume, source, and format, aligning with the "Domain 1: Collection" of the AWS certification exam.
Introduction to SSH hardening and migrating from passwords to SSH keys. This lesson explains the vulnerabilities of password-based authentication (brute-force attacks) and the superiority of public-key cryptography. It includes a practical, hands-on lab where you will generate a modern Ed25519 key pair, use ssh-agent to manage your private key, and securely copy your public key to a remote server using ssh-copy-id to enable passwordless login.
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