Day 1 Introduction to Blockchains Part I: Introduction and Background Distributed Systems Overlay Networks and Peer-to-peer Systems Security and Trust Part II: Blockchain Basics (1) Principles of Blockchains Blockchain Operations Part III: Blockchain Basics (2) Blockchain Eras and Application Domains …
Finally after a few month spent studying I decided to jump the fence and register for the exam. Here is how I prepared and what I found the most useful. First I studied the cursus offered on Coursera, the 5 …
Selecting Appropriate Storage Technologies Know the four stages of the data lifecycle: ingest, storage, process and analyze, and explore and visualize. Ingestion is the process of bringing application data, streaming data, and batch data into the cloud. The storage stage …
Author : Dale Carnegie How to Win Friends and Influence People: The Principles Part 1: Fundamental Techniques in Handling People Don’t criticize, condemn or complain Give honest and sincere appreciation Arouse in the other person an eager want Part 2: …
Author : Svetlana Baranov La banque sans banque Chapitre 1 : De nouveaux comportements clients Evolution des attentes clients : La relation du client avec sa banque est devenue peu fréquente, indirecte et impersonnelle. Le client privilégie la praticité du …
Introduction This book is about the biases of our intuition. That is, we assume certain things automatically without having thought through them carefully. Kahneman calls those assumptions heuristics 1 (page 7). He spends nearly 500 pages listing example after example …
Practice Exam Q1 : Storage of JSON files with occasionally changing schema, for ANSI SQL queries. This is correct because of the requirement to support occasionally (schema) changing JSON files and aggregate ANSI SQL queries: you need to use BigQuery, …
Preparing for Data Designing data processing systems System availability is important to pipeline processing, but not data representation, and capacity is important to processing, but not the abstract pipeline or the representation. Think about data engineering and Google Cloud as a platform consisting of components that can be …
