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Rabbitmq In Practice
Last updated 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.12 GB | Duration: 8h 58m​

A Complete Guide to RabbitMQ, Queues, Exchanges, Producers and Consumers, Patterns, Clustering, Optimization & Tune-up

What you’ll learn
RabbitMQ best practices
Usage of Exchanges, Queues, Bindings and Routing Keys
Clustering and Highly Available and Fault Tolerant features
Federations and Showels
Performance testing, monitoring and memory analysis
RabbitMQ patterns: Work queues, publish subscribe, RPC, DLX, delayed scheduling etc.
Lazy queues, TTL, priority queues, exclusive queues, durability, hashed exchanges etc.
AMQP deep dive
General RabbitMQ Security and Troubleshooting

Requirements
Basic administrative skills are fine enough
Programming Experience is optional – Java code we create in this course is not mandatory to understand RabbitMQ. Included Java code is an extra bonus for Developers,

Description
This course will guide you through the features and limitation or RabbitMQ. Course contains a lot of practical knowledge, examples and hands-on lectures. If you are a beginner, don’t worry, course guides you from very generic concept of queues to more advanced features. If you already have experience with RabbitMQ, you will enjoy the advanced part of it. Maybe you are in the middle and not sure if you are using RabbitMQ correctly? If so, then course will help you find answers to that questions, optionally grounding and strengthening your exiting experience. No matter what is your existing level of knowledge, after completing this course, you will be ready to become a true professional in the RabbitMQ community.In this course, I will show you how to configure, administrate, and properly use RabbitMQ. We’ll start by forming a cluster and installing plugins. Then we will go through the details of the AMQP protocol, different types of queues, exchanges, virtual hosts, security features etc.I will show you typical RabbitMQ patterns like work queues, publish subscribe, RPC, dead letter exchanges (DLX), delayed scheduling etc. We will also tune-up sample cluster and analyze memory usage by running performance tests. We’ll simulate failures, like partitions, and I’ll show you how to fix them and properly protect your cluster. Overall, you’ll learn how to build highly available and fault-tolerant clusters in the easy way, without spending hours reading manuals.I hope to see you in the first lecture.

Who this course is for:
Software Engineers,Architects,DevOps & Administrators,Developers & QA

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RabbitMQ and Messaging Concepts
Last updated 7/2022
Duration: 4h 9m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.41 GB
Genre: eLearning | Language: English​

Learn RabbitMQ message broker, general messaging concepts with C# and Java code samples

What you’ll learn
RabbitMQ
General messaging concepts
RabbitMQ management web interface
Using RabbitMQ .Net client library with C#
Installing RabbitMQ on a Windows machine
Pulling and running RabbitMQ Docker image
Requirements
C# knowledge only for coding lessons
Description
RabbitMQ is a very popular message broker. It is heavily used in microservices architectures, as a solution for asynchronous, decoupled communication/messaging problem between the services.
It is available on Windows, Linux and Mac. There are also many official Docker images that are ready to run.
RabbitMQ is easy to install, learn, configure and use. There are many official client libraries for popular programming languages. Its management web interface plugin makes learning and testing RabbitMQ even easier.
This course starts with message broker basics continues with RabbitMQ, its components and common usage scenarios. There are demo lessons for testing the RabbitMQ system using management web interface. There are also coding lessons that demonstrates how to use RabbitMQ features from code and implement common messaging scenarios using C#. But you can also download the Java versions of the same sample projects under each coding lesson. You will see that codes are almost the same.
I think, spending a weekend studying this course will be enough to complete it and learn how to use RabbitMQ using management UI, C# and Java client libraries.
I appreciate your valuable feedbacks. Feel free share your feedbacks, recommendations and ask questions on course’s questions & answers part.
C# and Java sample project source codes are added as a resource to each coding lecture. You can also find all the samples as a single file under "All Codes" section.
Current C# samples for RabbitMQ .Net client library versions 5.1.0 and 6.4.0.
Current Java samples (Maven projects) for RabbitMQ Java client library version 5.15.0.
Who this course is for:
Developers who are curious about RabbitMQ and general messaging concepts
Developers who want to learn RabbitMQ .Net client library

More Info

Querying Data with Generative AI
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 54m | 174 MB
Instructor: Mihaela Danci​

Generative AI is transforming how data professionals work with databases. This course will teach you how to use prompting techniques to generate complex SQL queries, identify performance bottlenecks, and implement security best practices.

What you’ll learn

One challenge when working with Generative AI is generating reliable SQL queries while protecting sensitive information. In this course, Querying Data with Generative AI, you’ll learn to generate, optimize, and secure SQL queries using prompting techniques.

First, you’ll explore generating queries from natural language using techniques like zero-shot prompting, chain-of-thought, and task decomposition. Next, you’ll discover how to optimize query performance using tree-of-thoughts and self-consistency to identify bottlenecks and compare multiple solutions. Finally, you’ll learn how to secure queries, generate test cases, and verify queries safely.

When you’re finished with this course, you’ll have the skills and knowledge of prompting needed to accelerate SQL development while ensuring quality, performance, and security.

Homepage

Year of manufacture : 2023
Manufacturer : Pluralsight
Manufacturer’s website : Code:Copy to clipboard

Pluralsight.com

Author : Buddhini Samarakkody
Duration : 1h 40m
Type of distributed material : Video clips
Language : En
Subtitles : En
Описание: Working with large volumes of document data for analytics requires the power and flexibility of MongoDB’s Map-reduce feature. In this course, Querying Data Using Map-reduce in MongoDB, you’ll gain the ability to get yourself fully equipped to confidently apply the Map-reduce pattern to any data set no matter how large it could be. First, you’ll discover the requirement for Map-reduce among other aggregation capabilities of MongoDB. Next, you’ll explore how to create a custom JavaScript map function and a reduce function that are needed to perform map and reduce operations. Finally, you’ll learn how to use these custom functions to perform a Map-reduce operation on a MongoDB data set to aggregate results across documents. When you’re finished with this course, you’ll have the skills and knowledge of working with the Map-reduce function in MongoDB that will help you leverage the power of MongoDB’s aggregation feature for data crunching requirements in your next project.
Content
Course Overview 1m 34s
Discovering the Need for Map-reduce in MongoDB 27m 40s
Creating Custom JavaScript Functions for Map and Reduce 20m 30s
Applying Custom JavaScript Functions to MongoDB Map-reduce 23m 23s
Putting the Pieces Together: Build a Complete Map-reduce Solution in MongoDB 27m 20s
Example files : none
Video format : MP4
Видео: MPEG4 Video (H264) 1024×768 30fps 293kbps [V: En [eng] (h264 high L4.0, yuv420p, 1280×720, 293 kb/s)]
Аудио: AAC 44100Hz stereo 95kbps [A: SoundHandler [eng] (aac lc, 44100 Hz, stereo, 95 kb/s)]

Querying Data Using Map-reduce in MongoDB (143.72 MB)
RapidGator Link(s)
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Querying Data from MongoDB
Duration: 1h 45m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 163 MB
Genre: eLearning | Language: English​

MongoDB is a popular and trending technology. In fact, it occupies the 5th position in database usage. By the end of this course you will learn how to tackle most aspects related to filtering, sorting and displaying data in MongoDB.
MongoDB occupies the 5th position in database usage, making it a popular and trending technology. In this course, Querying Data from MongoDB, you will learn how to efficiently create Mongo DB queries. First, you will explore using the Mongo shell to connect to Mongo servers and write database queries. Next, you will discover how to filter data by using the most common query operators. Then, you will move on to implementing sorting, paging and field selection. Beyond this, you will learn how to write complex queries such as nested documents or geospatial data. Finally, you will gain an understanding on handling edge cases caused by the schema-less nature of MongoDB, such as null values, missing fields or queries by data type, as well as querying array fields. By the end of this course, you should feel confident tackling a wide range of queries in real MongoDB databases. In fact, you will be able to use these skills in real projects right away.

Quarkus: Data and Persistence
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 2h 3m | 329 MB
Instructor: Antonio Goncalves​

What you’ll learn

How do you handle data persistence effectively in applications built with Quarkus? In this course, Quarkus: Data and Persistence, you’ll learn to implement data access patterns.

First, you’ll explore Hibernate ORM with Panache to simplify entity management and reduce boilerplate code. Next, you’ll discover reactive database access using Quarkus’ reactive clients and Mutiny for non-blocking, high-throughput operations. Finally, you’ll learn how to use RESTful web services to access data with pagination and filtering to optimize performance.

When you’re finished with this course, you’ll have the skills and knowledge of data persistence needed to to build Quarkus applications with efficient data management.

Homepage

Last updated 11/2023 MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.50 GB | Duration: 15h 3m​

Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations

What you’ll learn
Understand stock market fundamentals
Understand bonds and bond pricing
Understand the Modern Portfolio Theory and Markowitz model
Understand the Capital Asset Pricing Model (CAPM)
Understand derivatives (futures and options)
Understand credit derivatives (credit default swaps)
Understand stochastic processes and the famous Black-Scholes model
Understand Monte-Carlo simulations
Understand Value-at-Risk (VaR)
Understand CDOs and the financial crisis
Understand interest rate models (Vasicek model)

Requirements
You should have an interest in quantitative finance as well as in mathematics and programming!

Description
This course is about the fundamental basics of financial engineering. First of all you will learn about stocks, bonds and other derivatives. The main reason of this course is to get a better understanding of mathematical models concerning the finance in the main. First of all we have to consider bonds and bond pricing. Markowitz-model is the second step. Then Capital Asset Pricing Model (CAPM). One of the most elegant scientific discoveries in the 20th century is the Black-Scholes model and how to eliminate risk with hedging. IMPORTANT: only take this course, if you are interested in statistics and mathematics !!!Section 1 – Introductioninstalling Pythonwhy to use Python programming languagethe problem with financial models and historical dataSection 2 – Stock Market Basicspresent value and future value of moneystocks and sharescommodities and the FOREXwhat are short and long positions?Section 3 – Bond Theory and Implementationwhat are bondsyields and yield to maturityMacaulay durationbond pricing theory and implementationSection 4 – Modern Portfolio Theory (Markowitz Model)what is diverzification in finance?mean and varianceefficient frontier and the Sharpe ratiocapital allocation line (CAL)Section 5 – Capital Asset Pricing Model (CAPM)systematic and unsystematic risksbeta and alpha parameterslinear regression and market riskwhy market risk is the only relevant risk?Section 6 – Derivatives Basicsderivatives basicsoptions (put and call options)forward and future contractscredit default swaps (CDS)interest rate swapsSection 7 – Random Behavior in Financerandom behaviorWiener processesstochastic calculus and Ito’s lemmabrownian motion theory and implementationSection 8 – Black-Scholes ModelBlack-Scholes model theory and implementationMonte-Carlo simulations for option pricingthe greeksSection 9 – Value-at-Risk (VaR)what is value at risk (VaR)Monte-Carlo simulation to calculate risksSection 10 – Collateralized Debt Obligation (CDO)what are CDOs?the financial crisis in 2008Section 11 – Interest Rate Modelsmean reverting stochastic processesthe Ornstein-Uhlenbeck processthe Vasicek modelusing Monte-Carlo simulation to price bondsSection 12 – Value Investinglong term investingefficient market hypothesisAPPENDIX – PYTHON CRASH COURSEbasics – variables, strings, loops and logical operatorsfunctionsdata structures in Python (lists, arrays, tuples and dictionaries)object oriented programming (OOP)NumPyThanks for joining my course, let’s get started!

Anyone who wants to learn the basics of financial engineering!

Python, Excel and Machine Learning for Stocks Data Science

File INFO:
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Format:mp4
Size: 3.51 GB
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Python REST APIs with Flask Docker MongoDB and AWS DevOps

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Format:mp4
Size: 5.04 GB
Duration:00:32:11
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Python Programming Full Course (Basics,OOP,Modules,PyQt)

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