Software Engineering And Architecture Guide For Engg Leaders
Last updated 10/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 629.71 MB | Duration: 1h 22m
Last updated 10/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 629.71 MB | Duration: 1h 22m
TECH GUIDE for Engineering Leaders in Software Industry
What you'll learn
Technical Knowledge expected from a Engineering Leader by all Tier1 companies
One stop systematic collection of software technologies with concepts and use cases which any today's world engineering leader needs to know
Requirements
You are an engineering leader and you have worked as a software engineer for few years in your career
Description
This is an attempt to help Engineering Leaders of Software industry. This video is a collection of technical topics which an engineering leader should be aware of in today's world.CONTENTS:Course overviewAbout me: Qualification and background of tutorImportant pillars on which engineering leader is evaluated: Different dimensions on which an egg leader is evaluatedTech capabilities (contents)Data structures and Algorithms: Very important for everyone in software industryRDBMS, SQL and ACID properties: Database basicsAPIs and Microservices: Very important interface for multiple systems to interact and share dataData Warehousing concepts: Special stream related to database of reporting and analytics systemsBig Data and Hadoop: Important technology for processing huge volume of data using distributed computingCAP theorem and NOSQL DBs: Important to know different kinds of databasesCaching Solution [Key Store] (Redis, Aerospike): For building low latency systems caching is a mustFast search solution (Elasticsearch, Apache Solr): VEry popular for powering autosuggest search for huge volume where data can't be accommodated in client's cacheStreaming Solution / Event Processing / Pub Sub: Processing messages in a producer and consumer model also referred to as Pub-Sub model.System DesignSDLC ToolsMachine Learning / Data Science: Basic knowledge of Machine Learning / Data Science is a must have for everyone in the software industry.
Who this course is for:
Engineering Manager, Senior Engineering Manager, Director Engineering, Senior Director Engineering, VP Engineering, SVP Engineering