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Database DevOps Across Microsoft IDE's


DevOps Tutorial for Beginners | Learn DevOps in 7 Hours - Full Course | DevOps Training | Edureka

???? Edureka DevOps Training (Use Code: YOUTUBE20):
This Edureka DevOps Tutorial for Beginners will help you learn DevOps concepts and DevOps tools with examples and demos. You will understand how a DevOps pipeline can be imagined for existing infrastructure. Furthermore, it will cover different DevOps tools & phases. Below are the topics covered in this Full Course DevOps Tutorial for Beginners:

2:06 Waterfall Model
3:35 Limitations of Waterfall Model
6:39 Agile Methodology
7:32 Waterfall vs Agile
8:20 Limitation of Agile Methodology
11:21 What is DevOps?
13:06 DevOps Stages
17:02 Source Code Management
21:40 Introduction to Git
23:50 Basic Git Commands
28:50 Continuous Integration
30:19 Continuous Delivery
31:33 Continuous Deployment
34:06 Jenkins Demo
35:44 Configuration Management
41:56 Containerization
45:15 Docker Demo
47:38 Continuous Monitoring
49:28 Introduction to Nagios
51:53 DevOps Use-Case
1:00:27 Git & GitHub
1:01:21 Version Control System
1:03:43 Why Version Control?
1:04:08 Collaboration
1:05:56 Storing Versions
1:08:06 Backup
1:09:57 Analyze
1:10:54 Version Control Tools
1:13:04 Git & GitHub
1:17:06 GitHub Case Study
1:20:33 What is Git?
1:21:33 Features of Git
1:32:42 What is a Repository?
1:33:26 Central & Local Repository
1:35:15 Git Operations & Commands
1:36:00 Creating Repositories
1:43:32 Syncing Repositories
1:47:22 Making Changes
1:56:12 Parallel Development
1:56:25 Branching
2:01:00 Merging
2:06:35 Rebasing
2:20:36 Git Flow
2:27:04 Continuous Integration using Jenkins
2:27:44 Process Before Continuous Integration
2:28:29 Problem Before Continuous Integration
2:33:27 What is Continuous Integration?
2:34:09 Continuous Integration Case Study
2:36:48 What is Jenkins?
2:36:58 Jenkins Plugins
2:39:52 Jenkins Example
2:52:39 Shortcomings of Single Jenkins Server
2:53:19 Jenkins Distributed Architecture
2:56:50 Introduction to Docker
2:57:39 Why we need Docker
3:01:39 What is Docker?
3:05:30 Docker Case Study
3:08:50 Docker Registry
3:10:22 Docker Image & Containers
3:14:33 Docker Compose
3:21:14 Kubernetes
3:21:14 Kubernetes Installation
3:48:35 Introduction to Kubernetes
3:55:20 Kubernetes: Container Management Tool
3:57:44 Kubernetes Features
4:01:40 Uncovering Myths About Kubernetes
4:07:06 Kubernetes vs Docker Swarm
4:12:09 Kubernetes Use-Case: Pokemon Go
4:18:42 Kubernetes Architecture
4:20:15 Working of Kubernetes
4:21:40 Kubernetes Hands-on
4:52:06 Ansible
4:53:03 Configuration Management
4:54:42 Why Configuration Management
5:03:30 Configuration Management Tools
5:04:17 What is Ansible?
5:04:48 Features of Ansible
5:06:32 Ansible Case Study: NASA
5:13:32 Ansible Architecture
5:17:05 Writing a Playbook
5:18:37 Ansible Playbook Example
5:20:12 How to use Ansible?
5:28:53 Ansible Hands-on
5:48:23 Introduction to Puppet
5:49:07 Why Configuration Management?
5:53:06 What is Configuration Management?
5:55:22 Configuration Management Components
5:56:39 Configuration Management Tools
5:57:07 What is Puppet?
5:57:55 Puppet Master-Slave Architecture
5:59:33 Puppet Master Slave Connection
6:03:46 Puppet Use-Case
6:05:20 Resources, Classes, Manifests & Modules
6:21:01 Continuous Monitoring using Nagios
6:21:36 Why Continuous Monitoring?
6:25:36 What is Continuous Monitoring?
6:29:35 Continuous Monitoring Tools
6:30:07 What is Nagios?
6:31:43 Nagios Features
6:32:26 Nagios Architecture
6:35:24 Monitoring Remote Linux Hosts
6:37:15 Nagios Case Study
6:33:26 Nagios Demo

DevOps playlist here:
DevOps Tutorial Blog Series:

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------------------Edureka DevOps Trainings-----------------

????DevOps Online Training:

????Kubernetes Online Training:

????Docker Online Training:

????AWS Certified DevOps Engineer Online Training:

????DevOps Engineer Masters Program:


#edureka #DevOpsEdureka #DevOpsTutorial #DevOpsTraining #DevOpsTools

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For more information, please write back to us at or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Microservices Full Course - Learn Microservices in 4 Hours | Microservices Tutorial | Edureka

( Microservices Architecture Training: )
This Edureka Microservices Full Course video will help you learn Microservices from scratch with examples. This Microservices Tutorial is ideal for both beginners as well as professionals who want to master the Microservices Architecture. Below are the topics covered in this Microservices Tutorial for Beginners video:
1:39 Introduction to Microservices
1:43 Why Microservices?
8:18 What is Microservice Architecture?
10:17 Microservice Architecture
12:35 Features of Microservice Architecture
13:46 Advantages of Microservice Architecture
15:11 Companies using Microservice
16:29 Hands-On
20:52 Microservice Integration
20:55 Microservices with Spring Boot
21:24 Challenges with Microservice Architecture
23:23 Need for Spring Boot
24:09 Use Case
26:07Tools Required
40:41 Microservices with Docker
41:18 Use-Case
43:45 Before and After Microservices
44:36 Microservices Architecture
46:05 What is Docker?
52:31 Docker for Microservices
52:57 Advantages of Docker in Microservices
56:29 Implementation
1:11:59 Microservices vs SOA
1:14:49 SOA vs Microservice
1:15:53 Microservices vs SOA Architecture
1:23:20 Use-Case
1:29:41 Microservices vs API
1:31:49 Monolithic Architecture Example
1:32:42 What are API's?
1:35:43 Where are API's used in Microservices?
1:38:25 Differences between Microservices and API
1:41:08 Microservices Design Patterns
1:41:56 Need for Design Patterns
1:44:10 What are Design Patterns?
1:44:58 Principles
1:49:25 Microservices Design Patterns
1:49:27 Aggregator
1:52:28 API Gateway
1:55:00 Chained Or Chain of Responsibility
1:57:11 Asynchronous Messaging
1:59:07 Databases
2:01:32 Event Sourcing
2:02:38 Branch
2:03:48 CQRS
2:05:14 Circuit Breaker
2:07:20 Decomposition
2:09:57 Microservices Tools
2:11:58 Operating System
2:13:14 Programming Language
2:15:48 API Management and Testing
2:18:28 Messaging
2:20:23 Toolkits
2:22:08 Architectural Frameworks
2:24:01 Orchestration
2:26:37 Monitoring
2:28:01 Serverless
2:30:05 Microservices Security
2:30:51 Problems
2:34:47 Best Practices
2:47:32 Interview Questions

#edureka #microservicesedureka #microservices #microservicearchitecture #microservicearchitecturetutorial #microservicesforbeginners #microservicesinandout #microservicesinterviewquestions #microserviceswithspringboot #microservicesdesign


Join Edureka’s Meetup community and never miss any event – YouTube Live, Webinars, Workshops, etc.

Subscribe to our channel to get video updates. Hit the subscribe button above:


How it Works?

1. This is a 4 Week Instructor-led Online Course.

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
About Microservices Architecture Training

Edureka’s Microservices Architecture training introduces you to the concept of Microservices that are small, lightweight, process-driven components. So, Microservices are the next important thing in designing scalable, easy-to-maintain applications. This not only makes application development easier but also offers great flexibility and lets you utilize various resources optimally. If you want to build an enterprise-ready implementation of the Microservices architecture, then this course is the first step for you!

In this Microservices Architecture training, we will start by giving you a deep understanding of the core Microservices concepts and principles with insight in how they have evolved. We will walk you through the complete life cycle - from design to development to testing; including cross-layer concepts such as how to secure Microservices.


For more information, please write back to us at or call us at IND: 9606058406 / US: 18338555775 (toll-free).

DevOps For ASP.NET Developers Pt.6 - Release Pipelines

After your application has gone through a build and has been tested by QA, the next step is to deploy it. This may be as simple as copying your build artifact to a web server. This could also mean publishing your build to multiple targets such a server cluster or a mobile application marketplace.

In part 6 of o ur series, Abel and Jeremy show us how to get our application builds deployed using Azure DevOps. They discuss incorporating approvals, creating custom gates, and even how to deploy your build behind your company firewall

[T01:24] - Reviewing the release pipeline
[04:12] - Available pipeline tasks
[06:37] - Working with build artifacts
[10:28] - Incorporating database changes
[14:39] - Using automated approval gates
[15:57] - How the Azure DevOps teams uses gates
[18:30] - Creating custom gates using HTTP endpoints
[22:24] - Setting up parallel deployments in a pipeline
[23:50] - Deploying behind your company firewall

DevOps for ASP.NET Core ebook

Use approvals and gates to controls your deployment

Create a multiple platform pipeline

Start with Azure DevOps for Free: 

Create a Free Azure Account: 

Java on Azure: Building Spring Boot microservices | BRK3175

Spring Boot and Spring Cloud are the de-facto choices for many companies building microservices, using Java.

In this session, we share our best practices and tools to go from development to production using Spring Boot and Azure, with a specific focus on microservices configuration, resiliency and scalability in the cloud. We also cover monitoring and security and discuss how Spring Boot applications can scale and handle failure on Azure.

If you are thinking about building microservices, this is a session you don't want to miss.

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Find your Tech Community --
Fast Track --

AWS Tutorial For Beginners | AWS Full Course - Learn AWS In 10 Hours | AWS Training | Edureka

** Edureka AWS Certification Training (Use Code: YOUTUBE20) - **
This Edureka video on AWS Full Course is a complete AWS Tutorial for beginners who want to learn AWS from scratch with examples and Hands-on. This AWS tutorial will help you learn various AWS services like AWS EC2, AWS S3, AWS Lambda, AWS Elastic Beanstalk, AWS VPC, AWS CloudFormation, AWS CloudFront, AWS CloudWatch and more. After watching this video you have skills of an AWS Solution Architect and you will clear AWS Certified Solutions Architect certification in one go. Below is the timestamp of this AWS Tutorial for Beginners:

2:06 Introduction to Cloud Computing
2:11 Why Cloud?
2:21 Before Cloud Computing
7:11 What is Cloud Computing?
7:51 Service Models
12:01 Deployment Model
13:36 Cloud Providers
16:56 Introduction to AWS
18:11 Use-Cases
19:31 Advantages of AWS
22:31 AWS Architecture
25:01 Domains of AWS
34:36 Compute Services
35:13 What is an Instance?
38:46 What is EC2?
46:26 Types of Instances
45:31 Instance Pricing Models
54:16 Use Case
1:10:16 AWS Lambda
1:13:31 AWS Compute Domains
1:15:06 Why AWS Lambda?
1:16:46 AWS SDKs
1:17:41 Using AWS Lambda with Eclipse
1:18:51 Demo
1:41:20 AWS Elastic Beanstalk
1:42:00 What is AWS Elastic Beanstalk?
1:44:25 PaaS
1:47:35 Web Hosting Platforms
1:48:30 Features of Elastic Beanstalk
1:49:50 Fundamentals of Elastic Beanstalk
1:53:50 Architecture of Elastic Beanstalk
2:00:25 Demo: How to Deploy An Application Using Beanstalk
2:12:30 Storage Service
2:13:05 What is Cloud Storage?
2:29:50 Cloud Storage Practices
2:35:25 Cloud Storage Service Providers
3:09:50 S3 Tutorial For Beginners
3:13:40 Buckets & Objects
3:22:40 Versioning & Cross Region Replication
3:32:55 S3 Transfer Acceleration
3:40:26 Use Case: IMDB Media
3:43:41 Demo: AWS S3 Complete Walkthrough
3:44:51 Networking Services
3:48:16 AWS CloudFront
3:53:26 How AWS CloudFront Delivers Content?
3:56:11 Applications
3:58:21 Demo: AWS CloudFront Distribution
4:07:06 Monitoring & Management
4:07:11 AWS CloudWatch
4:07:46 Need For Cloud-Based Monitoring
4:11:21 What is Amazon CloudWatch?
4:13:31 Amazon CloudWatch
4:16:41 Amazon CloudWatch Demo
4:21:01 Amazon CloudWatch Event
4:24:46 Amazon CloudWatch Event Demo
4:32:56 Amazon CloudWatch Logs
4:36:46 AWS CloudFormation
4:40:11 Get started in AWS CloudFormation
4:56:21 Autoscaling & Load Balancer
4:57:36 Snapshots & AMIs
5:00:06 Why Auto Scaling?
5:03:46 Why Auto Scaling?
5:17:51 What is the Load Balancer?
5:19:01 Types of Load Balancers
5:22:06 Hands-On
5:34:51 Cloud Security
5:35:41 Why Cloud Security?
5:37:31 Public, Private or Hybrid?
5:40:56 How Secure Should you make your application?
5:42:56 How to Troubleshoot a Threat in the Cloud?
5:43:56 How did they come to know?
5:45:26 Cloud Security in AWS
5:59:29 AWS IAM
6:01:34 What is IAM?
6:26:59 Multi-Factor Authentication
6:33:29 Hands-On
6:46:04 Amazon Redshift
6:58:29 Demo - Setting Up A Warehouse
7:14:04 DevOps on AWS
7:14:14 AWS DevOps Services
7:19:54 What is Continuous Integration & Delivery?
7:23:44 What Is CodePipeline?
7:25:39 CodePipeline Architecture
7:28:49 Code Deploy, Code Build & Code Commit
7:30:59 Demo - Deploying An Application Using AWS CodePipeline
7:42:49 AWS Interview Question
7:46:44 EC2 Questions
8:17:29 Amazon Storage
8:27:34 AWS VPC
8:36:44 Amazon Database
9:00:29 Cloud Engineer Jobs, Salary, Skills, Responsibilities & Resume
9:01:04 Cloud Engineer Job & Salary Trends
9:11:14 Cloud Engineer Job Skills & Description
9:22:34 Cloud Engineer Resume
9:26:24 Cloud Master Course At Edureka




Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

For more information, please write back to us at or call us at IND: 9606058406 / US: 18338555775 (toll-free).

.NET N-Tier Application - Creating N-Tier Application in .NET

DotNetNuke Development Made Easy!
Total Students: 330+, Length: 3 Hours
In this course, you will learn about how to use the most popular .NET content management system. This will allow you to create websites that is powered by .NET and you can customize it easily and much easier for .NET Developers to handle rather than using other CMS such as WordPress where you need to learn PHP (ouch!) and so on.

.NET Developer Skills Advancing
Total Students: 130+, Length: 3.5 Hours
Are you a .NET Developer where you want to have better skills in your development process and advance your career? So this course is totally for you! Learn new ways for better development process and learn how to use tolls such as visual studio more effectively:

Windows IoT App Development
Total Students: 160+, Length: 2 Hours
Are you a fan of IoT Devices such as Raspberry Pi and other board computers? So this course is for you you can now develop IoT Applications as you like using the newly released Windows IoT where you can use it to program IoT devices in C#.

ASP.NET Core 2.0 Vue.JS Starter Guide
Total Students: 230+, Length: 4.5 Hours
Do you want to develop SPA that uses ASP.NET Core and Vue.JS? So this course if or you. This course will guide you with ASP.NET Core and Vue.JS from basic to advance. You will see how easy it is to use ASP.NET Core along with Vue.JS. Also, Vue.JS is one of the most popular UI frameworks and it has a really good benchmark of performance.

AWS lambda for .NET C# developers
Total Students: 300+, Length: 2 Hours
AWS Lambda service is one of the well known serveless functions that you can use. It's also one supports .NET and you can create .NET Lambda with it. Also, you can do actions with it such as call an API or send an email or do a file upload.

Xamarin Forms MVVM With Prism
Total Students: 300+, Length: 2 Hours
Xamarin is one of the most well known Cross Platforms development frameworks for mobile where you can write a single code to have it running on iOS and Android. Prism, is one of the well known library for MvvM pattern with Xamarin. Prism will cut a lot of development time for you and personally I use it for every Xamarin project I create.

.NET/C# Beginners Bootcamp
Total Students: 300+, Length: 11.5 Hours
Are you new to C# development? Do you want to learn and become a C# developer? This course is totally for you. This course no matter what is your level in C# will guide you through and will help you become a professional C# developer. Also, you will learn how to create ASP.NET Core sites and SQL Server database.

Scrum with Azure DevOps
Total Students: 2200+, Length: 1.5 Hours
Do you want to use the latest version of the cloud version of Microsoft tools where you can collaborate and work with others. Also, you can create CI for your code to make sure you can have an ongoing codebase that never breaks. Azure DevOps is free to use for up to 5 developers and you can use it as a collaborate tool with Scrum to manage work and keep tracking of work progress.

AWS For C#/.NET Developers
Total Students: 200+, Lemgth: 2.5 Hours
AWS is filled with services that can be helpful for web developers where you can store and retrieve data in different location of the world. The nice thing about AWS is that you don't need to write long code to reach a service just with few lines of code you can store data in an S3 bucket or a SQS. Also, the amount of services available is amazing and is distributed all around the world.

Angular ASP.NET Core Bootcamp
Total Students: 220+, Length: 4.5 Hours
Learn the most widely used and popular fronted framework today. Angular is one of the first and well known frameworks around the world. The framework allows you to create a SPA application that has a better user experience but make sure to tweak the application and not to clutter it with npm packages to gain a great SPA app. Angular structure is nice and clean and can allow you to have a great separation between different parts of the applcation. In this course we will start from the basic and cover the main concepts in Angular along with ASP.NET Core as a backend.

How To Manage Storage With Azure Storage Explorer

If you enjoyed this video, be sure to head over to to get free access to our entire library of content!

In this Snip, Matt will show you how to use Azure Storage Explorer to connect to an Azure account in order to manage Azure storage. Matt will demonstrate how to create blob containers, view their contents and add files. Matt will also show how to copy blob containers as well as delete blob containers. Azure Storage Explorer can also be used to manage file shares within Azure Storage Accounts and Matt will demonstrate how to manage those as well.

Head over to now for hundreds of in-depth, informative how-to articles just like this!

How To Make a Chatbot in Python | Python Chat Bot Tutorial | Edureka

????Edureka Elevate Program. Learn now, Pay Later:
This Edureka video on 'How To Make A Chatbot In Python' will help you understand how you can use Chatterbot library in python to make a chatbot from scratch. Following are the topics discussed:
1:06 - What Is A Chatbot?
3:22 - ChatterBot In Python
6:55 - Trainer For The Chatbot
7:41 - Use Case - Flask Chatbot

** Python Certification Training: **

Python Tutorial Playlist:
Blog Series:

PG in Artificial Intelligence and Machine Learning with NIT Warangal :

Post Graduate Certification in Data Science with IIT Guwahati -
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

#Edureka #PythonEdureka #howtomakeachatbotinpython #pythonprojects #pythonprogramming #pythontutorial #PythonTraining

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future:

Introducing Edureka Elevate, a one of its kind software development program where you only pay the program fees once you get a top tech job. If you are a 4th year engineering student or a fresh graduate, this program is open to you! Learn more:


- - - - - - - - - - - - - - - - -

How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

- - - - - - - - - - - - - - - - - - -

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger.

Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next Big Thing and a must for Professionals in the Data Analytics domain.

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:

· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer'
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· 'Python' professionals who want to design automatic predictive models

For more information, Please write back to us at or call us at IND: 9606058406 / US: 18338555775 (toll free)

Fortify Demo with Visual Studio and Azure DevOps (2019)

End-to-end demo of Fortify on-premise static (with look-in on dynamic) scanning. Topics covered in this video:

Visual Studio Security Assistant (0:32)
Analysis Results from complete scan (3:05)
Azure DevOps pipeline (4:03)
Fortify plug-ins available for Azure DevOps (5:02)
Connecting SSC to IDE to get scan results directly in IDE (5:51)
Quick view for scan results (7:07)
Group by feature for scan results (8:03)
Issue details, remediation advice, etc (9:38)
Creating custom filter sets for Analysis results (12:03)
Adding notes or assignment to issue/sending to Bug Tracker (13:06)
Audit Workbench mention (14:02)
SSC (14:31)
SSC Dashboard (15:19)
Correlation Groups in SSC (16:10)
Application view (17:04)
Issue view, commenting, assigning (17:40)
Group assigning issues (18:43)
JIRA showcase of issues sent from SSC (19:16)
Audit Assistant showcase (21:03)
Reports from IDE (24:07)
Reports from SSC (24:39)

LEARN MORE about Fortify:

LEARN MORE about how Micro Focus was named a leader in the 2019 Gartner MQ for Application Security Testing:


Tune in for Microsoft Connect(); 2018

Learn to build the apps of tomorrow, today with Azure and Visual Studio.

How to Deploy .NET Code to AWS from Within Visual Studio

Learning Objectives:
- Learn how to use the AWS Plug-in for Visual Studio to deploy .NET code to AWS directly from Visual Studio
- Learn how to use AWS Elastic Beanstalk to quickly provision resource to support your new .NET applications
- Learn how to use AWS Lambda support for .NET Core to build serverless applications in AWS

Building and deploying code to AWS is fast and easy. If you are a .NET developer you never have to leave the friendly confines of Visual Studio. By using the AWS Tools for .NET, you have everything you need at your fingertips to build powerful salable apps in AWS infrastructure. This webinar will discuss in depth considerations for using the AWS Toolkit for Visual Studio, AWS CodeStar, and AWS CodeBuild. You will learn how to build cross-platform applications for .NET that can be deployed on Amazon EC2 and AWS Lambda.

Azure Friday | Java in Azure Functions

Xiaokai He joins Scott Hanselman to discuss how easy it is for you to use Java to create an Azure Function, and then test & debug it locally before pushing it to the cloud. You can also use VS Code to implement lightweight Java applications such as Azure Functions.

For more information, see:

Announcing the preview of Java support for Azure Functions (blog) -
Create your first function with Java and Maven (docs) -
Azure Functions Java developer guide (docs) -
GitHub repository -
Java in VS Code (docs) -

TWC9: Microsoft Edge for Windows 7 and 8, Docker for Windows Updates, Azure Bastion and more

* 0:39 [Microsoft Edge Preview Builds for Windows 7, 8, 8.1]( and the [direct download]( link.

* 1:50 [Azure Shared Image Gallery in GA]( and the [docs]( on the feature

* 2:52 [Create Custom VMs in Azure with Packer](

* 3:12 [The Future of Docker Desktop in Windows](

* 4:36 [First Azure Cloud Regions in the Middle East Now Available](

* 5:08 [GitHub Acquires Pull Panda](

* 5:44 [Azure Bastion in Public Preview]( and [Thomas Maurer's walkthrough]( and the [Bastion docs](

* 6:28 [Using Cloud Shell in Visual Studio Code](

* 6:45 [On .NET: .NET Core 3.0 with Scott Hunter](

* 6:56 [Five Things You Didn't Know Python Could Do](

* 7:19 [The IoT Show: Azure IoT Edge development with Azure DevOps](

* 7:30 **Christina's Pick of the Week** [Kano PC Available for Pre-order](

On #TWC9, Christina is in need of some nerdy shirt suggestions while also here for the latest developer news.

Please leave a comment or email us at

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Data Science Full Course | Learn Data Science in 3 Hours | Data Science for Beginners | Edureka

** Data Science Master Program: **
This Edureka video on Data Science Full Course provides an end to end, detailed and comprehensive knowledge on Data Science. This Data Science video will start with basics of Statistics and Probability and then moves to Machine Learning and Finally ends the journey with Deep Learning and AI. For Data-sets and Codes discussed in this video, drop a comment. This Data Science tutorial will be covering the following topics:

1:23 Evolution of Data
2:14 What is Data Science?
3:02 Data Science Careers
3:36 Who is a Data Analyst
4:20 Who is a Data Scientist
5:14 Who is a Machine Learning Engineer
5:44 Data Scientist Salary Trends
6:37 Data Scientist Road Map
9:06 Data Analyst Skills
10:41 Data Scientist Skills
11:47 Machine Learning Engineer Skills
12:53 Data Science Peripherals
13:17 What is Data ?
15:23 Variables & Research
17:28 Population & Sampling
20:18 Measures of Center
20:29 Measures of Spread
21:28 Skewness
21:52 Confusion Matrix
22:56 Probability
25:12 What is Machine Learning?
25:45 Features of Machine Learning
26:22 How Machine Learning works?
27:11 Applications of Machine Learning
34:57 Machine Learning Market Trends
36:05 Machine Learning Life Cycle
39:01 Important Python Libraries
40:56 Types of Machine Learning
41:07 Supervised Learning
42:27 Unsupervised Learning
43:27 Reinforcement Learning
46:27 Supervised Learning Algorithms
48:01 Linear Regression
58:12 What is Logistic Regression?
1:01:22 What is Decision Tree?
1:11:10 What is Random Forest?
1:18:48 What is Naïve Bayes?
1:30:51 Unsupervised Learning Algorithms
1:31:55 What is Clustering?
1:34:02 Types of Clustering
1:35:00 What is K-Means Clustering?
1:47:31 Market Basket Analysis
1:48:35 Association Rule Mining
1:51:22 Apriori Algorithm
2:00:46 Reinforcement Learning Algorithms
2:03:22 Reward Maximization
2:06:35 Markov Decision Process
2:08:50 Q-Learning
2:18:19 Relationship Between AI and ML and DL
2:20:10 Limitations of Machine Learning
2:21:19 What is Deep Learning ?
2:22:04 Applications of Deep Learning
2:23:35 How Neuron Works?
2:24:17 Perceptron
2:25:12 Waits and Bias
2:25:36 Activation Functions
2:29:56 Perceptron Example
2:31:48 What is TensorFlow?
2:37:05 Perceptron Problems
2:38:15 Deep Neural Network
2:39:35 Training Network Weights
2:41:04 MNIST Data set
2:41:19 Creating a Neural Network
2:50:30 Data Science Course Masters Program

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Machine Learning Podcast:

PG in Artificial Intelligence and Machine Learning with NIT Warangal :

Post Graduate Certification in Data Science with IIT Guwahati -
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

#edureka #DataScienceEdureka #whatisdatascience #Datasciencetutorial #Datasciencecourse #datascience

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About the Master's Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles.

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Topics Covered in the curriculum:

Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc.

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Sam Guckenheimer on Testing, Data Collection, and the State of DevOps Report - Episode 003

This episode, Jeffrey Palermo welcomes his guest Sam Guckenheimer, to the podcast! Sam is the Product Owner for the Azure DevOps product line at Microsoft, and has been with the Microsoft team for the last 15 years. He has 30 years of experience as an architect, developer, tester, product Manager, project manager, and general manager in the software industry worldwide. His first book, Software Engineering with Microsoft Visual Studio Team System, was translated into 7 languages and recognized as a de facto guide for teams adopting Agile practices. He’s also a frequent speaker at industry conferences.


Sam explains the exciting new offer around Azure Pipelines for open source teams, changes he has seen in the industry from his many years of working at Microsoft, and some of the biggest changes in how users work with Azure DevOps. He also provides tons of key insights into the findings and research around predicting the impact Microsoft’s changes will make on user interactions, good practices around gathering live site telemetry and data collection, architectural (or design decisions or patterns) that help or hurt the live site supportability of a complex system, and key takeaways from his own internal learnings and the State of DevOps Report.


Topics of Discussion:

[:50] About today’s topic and guest.

[2:00] What is Sam focusing on now?

[3:11] With many years at Microsoft, IBM, and Rational Software, what changes stand out in the industry in Sam’s mind?

[5:51] What’s the most exciting part of the Azure DevOps release for Sam? The open source capabilities of course!

[9:29] Why Sam loves open source frameworks.

[11:05] What makes Azure DevOps so successful? And the biggest changes in how engineers work with it.

[15:15] A word from Azure DevOps sponsor: Clear Measure.

[15:43] The findings and research around predicting the impact Microsoft’s changes will make on user interactions, their feedback cycle, and applying the “rule of thirds” to make data-informed decisions.

[19:42] Good practices around gathering live site telemetry and data collection through Azure Log Analytics and Azure Application Insights.

[22:42] Other internal learnings: the notion of a production first mindset, designated responsible individual (DRI), and repair items.

[26:56] Has Sam found any architectural or design decisions or patterns that help or hurt the live site supportability of a complex system?

[30:42] Sam’s take on APM software and traditional monitoring tools.

[32:36] Sam speaks about the State of DevOps Report and why it is so important.

[36:39] Key takeaways from Sam on the State of DevOps Report and his own internal learnings.


Mentioned in this Episode:

Azure DevOps

Software Engineering with Microsoft Visual Studio Team System, by Juan J. Perez and Sam Guckenheimer

Azure Pipelines






.NET Framework 4

Clear Measure (Sponsor)

Azure Log Analytics

Azure Application Insights


Buck Hodges

APM Tools

The State of DevOps Report


Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.


Follow Up with Our Guest:

Sam Guckenheimer’s LinkedIn

Sam Guckenheimer’s Amazon Book Page

What's New With Logic Apps - PRE03

Hear from the Logic Apps team about new features and announcements for Microsoft Build 2019. We cover brand new features just released as well as what is coming soon on our roadmap including Inline Code, the General Availability of the new SAP ECC and S/4 HANA connector, the General Availability of ISE (Integration Service Environments), new VS Code features for Logic Apps coming soon and more.

LAMP Stack Intro and Tour

This video walks through a tour of the development server setup installed by Acquia DevDesktop.

Table of Contents:

00:25 - All Open Source
02:10 - All Open Source
02:33 - Vigorous Community
04:56 - Acquia DevDesktop
07:11 - Go ahead and install Acquia DevDesktop
08:12 - Go ahead and create an Acquia Drupal 7 Website.
09:55 - You should see something like this…
12:28 - Let’s have a look at what we have…
16:13 - Setup GIT identity in DevDesktop
16:23 - Check the configurations of the LAMP stack
17:37 - Check the Apache server configuration
23:17 - ServerName loopback setting
26:11 - DirectoryIndex setting
29:54 - View MySQL configuration
31:19 - View PHP configuration
37:26 - PHP HTTP file upload setting
39:20 - View stack logs
39:28 - Apache log is blank at first
39:36 - Install your first new Drupal site
40:58 - Configure your new Drupal site
41:17 - Setup the superuser account
42:47 - View Apache log - now full of content
43:54 - View database in phpmyadmin
46:01 - Initial home page of new Drupal site
47:45 - View phpmyadmin

Java Full Course | Java Tutorial for Beginners | Java Online Training | Edureka

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This Edureka Java Full Course will help you in understanding the various fundamentals of Java in detail with examples.
Check out Java Playlist:
This video covers the following topics:
3:36 - Introduction to Java
3:41 - What is Java?
8:56 - Java Features
16:36 - Where is Java Used?
23:46 - Java Enviromental SetUp
23:52 - Java JDK Download & Installation
25:27 - Setting Enviromental variables
27:38 - Eclipse Setup
28:43 - Java Internals
28:47 - Java Virtual Machine
32:10 - Java Run Time Environment
33:31 - Java Development Kit
34:11 - JDK, JRE & JVM
35:05 - Java Working
38:21 - First Java Program
53:27 - Modifiers in Java
54:34 - Access Control Modifiers
1:00:12 - Non Access Modifiers
1:10:05 - Variables in Java
1:10:11 - Types of Variables
1:14:59 - Data types in Java
1:16:19 - Primitive Data types
1:17:36 - Non Primitive Data types
1:18:35 - Demo - Variables and Data Types
1:19:20 - Data type Conversions
1:20:32 - Implicit Conversions
1:22:50 - Explicit Conversions
1:25:52 - Operators
1:28:56 - Operators Types and Examples
1:33:11 - Control Statements in Java
1:35:51 - Selection Statements
1:37:17 - Iteration Statements
1:44:04 - Jump Statements
1:46:06 - Methods in Java
1:48:52 - Methods Syntax
1:50:51 - What is a return Statement
1:52:00 - Program to add 2 numbers using a Method
2:00:38 - Method Execution
2:05:48 - Method Overloading
2:09:00 - Arrays in Java
2:11:38 - Arraay Declaration
2:15:32 - Types of Arrays
2:18:15 - Memory Allocation in Arrays
2:22:30 - Demo - Arrays
2:27:50 - Strings
2:30:51 - Immutability of Strings
2:29:00 - String Pool
2:33:43 - Memory Allocation
2:40:03 - String Operations - Demo
2:44:15 - StringBuffer
2:48:50 - StringBuilder
2:52:45: Classes and Objects
2:57:17 - Java Naming Conventions
2:57:30 - Types of variables
3:01:30 - Constructor
3:06:24 - Difference between Constructor and Method
3:08:10 - How Does Constructor work
3:08:35 - Types of Constructor
3:19:09 - Java Static Keyword
3:19:16 - Demo - Java Static Keyword
3:24:32 - Java this keyword
3:26:29: Demo - Java this keyword
3:29:27 - Object-Oriented Programming Concepts
3:30:10 - Inheritance
3:49:46 - Polymorphism
4:09:20 - Java super keyword
4:09:28 - Java final keyword
4:14:33 - Dynamic Binding
4:15:48 - Abstraction
4:22:44 - Abstract Class and Method
4:23:33 - Encapsulation
4:26:52 - Advantages of Encapsulation
4:29:44 - Interface
4:32:44 - Difference between Interface and Class
4:35:23 - Difference between Class and Abstract Class
4:36:10 - Difference between Abstract Class and Interfaces
4:37:46 - Class-Interface relationship
4:39:55 - Demo - Interface
4:46:10 - Rules for using private methods in interfaces
4:43:10 - Demo - A class Extending one class and implementing more than one interface
4:49:12 - Interface Features for Different JDK
4:50:55 - What is a Package?
4:52:11 - Package Naming Conventions
4:53:26 - Java Pre-defined Packages
4:58:12 - Access Modifiers
4:59:49 - Public
5:00:37 - Protected
5:01:32 - Private
5:02:00 - Protected
5:05:00 - Demo - Access package from another package
5:08:55 - Regular Expression
5:21:50 - Exception
5:23:49 - Types of Exception
5:31:45 - Exception handling
5:50:27 - XML using DOM, SAX, and StAX parser
in Java
5:56:15 - Introduction to XML
5:57:44 - Demo - To Read From and Write To a File
6:17:51 - Reading and Writing File Objects
6:21:40 - Demo - XML File
6:25:33 - XML File Tree Structure
6:36:00 - Serialization in Java
6:36:37 - Demo - Serialization in Java
6:48:13 - Demo - Deserialization in Java
6:54:00 - Wrapper Classes
6:57:31 - Demo on Wrapper Class
6:58:06 - Generics in Java

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How it Works?

1. This is a 7 Week Instructor-led Online Course, 45 hrs of assignment & 20 hours of project work
2. 24x7 LIVE Technical Support to help you with any problems you might face or any clarifications
3. In the end, you will be working on a project for which we will provide you a Verifiable Certificate!


For Java Training & Certification, please write back to us at or call us at IND: 9606058406 / US: 18338555775 (toll free).

Developer Keynote: Get to the Fun Part (Cloud Next '19)

If you put hands to a keyboard to build, test, maintain, or operate systems, this is your chance to take a deep dive into Google Cloud. See how Google Cloud helps developers of all kinds build reliable and scalable apps, find meaning in data, and have fun along the way.

Join us for the Keynote starting at 4:15PM PST, April 10th, 2019.

Build with Google Cloud →

fullname:Lauren Buchman,Greg DeMichillie,Aja Hammerly,Kelsey Hightower,Felipe Hoffa,Melody Meckfessel,Terrence Ryan,Eric Schmidt,Adam Seligman;

Python Tutorial For Beginners | Python Full Course From Scratch | Python Programming | Edureka

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This Edureka Python Tutorial for Beginners (Python Tutorial Blog: will help you learn Python programming language and its core concepts with examples from scratch. This Python tutorial for beginners video helps you to learn the following concepts in Python:

1:16 Introduction to Python
5:29 Who is using Python
7:13 Python Applications
7:34 Python Market Trends
8:36 Python Installation
10:17 Python IDE & Interpreter
12:30 Executing Code in Python
13:19 Comments and Literals
15:10 Indentation
16:20 Python Code Execution
16:50 Hello World Program Using Python
20:25 Identifiers
22:22 Variables
23:35 Data Types
26:22 Immutable Data Types
26:26 Numeric Data Type
27:34 Strings
28:28 Tuples
29:48 Mutable Data Type
29:55 Lists
34:19 Dictionaries
36:36 Sets
37:01 Python Operators
37:18 Arithmetic Operator
38:02 Assignment Operator
39:03 Comparison Operator
40:00 Logical Operators
42:22 Bitwise Operator
42:51 Identity Operator
44:11 membership Operator
42:55 Conditional Statements
51:38 Loops on Python
52:00 While Loop
53:07 For Loop
55:20 Nested Loops
55:50 Control Statements
58:30 Command Line Parameters
1:00:28 Sequences and File Operations
1:00:53 Python Input Function
1:02:46 Python File Operations
1:03:14 Opening and Closing Files
1:04:40 Python Open Function
1:06:50 Write Function
1:07:05 Read Function
1:07:19 Rename Function
1:07:52 Delete Function
1:10:05 Close Function
1:10:52 File Object Attributes
1:13:48 Python Sequences
1:17:40 Python Lists
1:19:12 List Operations
1:26:04 Python Tuples
1:26:30 Tuple Operations
1:30:10 Python Strings
1:37:14 Python Sets
1:38:25 Set Operations
1:41:58 Python Dictionaries
1:45:22 Dictionary Operations
1:49:12 Functions and Oops
2:21:12 Object-Oriented Concepts
2:22:28 Use Case
2:22:55 Classes and Objects
2:26:08 Creating a Class
2:26:57 Definition of Method
2:27:30 Scope of Variables
2:29:26 Attributes
2:38:16 Private Methods
2:39:39 Class Variables and Instance Variables
2:40:54 Constructor and Destructor
2:43:20 Key Concepts of Object-Oriented Programming
2:43:25 Abstraction
2:45:01 Encapsulation
2:45:19 Inheritance
2:45:47 Types of Inheritance
2:46:21 Single Inheritance
2:48:15 Multiple Inheritance
2:49:47 Overriding Method
2:51:01 Polymorphism
2:52:37 Getter and Setter Methods
2:54:21 Working with Modules and Handling Exceptions
2:54:44 Modules Used In Python
2:55:38 Import Statement
2:56:09 Dir Function
2:57:19 From Import Statement
2:59:41 Reload Function
2:59:59 Important Modules Used in Python
3:19:34 Regular Expressions
3:26:19 Search and Match Function
3:27:31 Regular Expressions Applications
3:27:34 Packages in Python
3:28:18 Exception Handling
3:31:20 Catching Specific Exceptions
3:33:22 Finally Block
3:34:06 try-finally Block
3:34:22 User-Defined Exceptions
3:36:56 Introduction To NumPy and Pandas
3:38:50 - What is Data Analysis?
3:43:08 - Why Python for Data Analysis?
3:43:32 - Introduction to NumPy
4:07:33 - Reading & Writing from Files
4:09:13 - Reading & Writing from CSV Files
4:12:11 - Introduction to Pandas
4:39:12 - Introduction to Data Visualization & Matplotlib
5:00:35 - Data Manipulation
5:28:10 - Use Case ( Country-Wise Statistics)
5:37:55 - Developing Web Maps using Folium & Pandas
5:38:13 - Problem Statement (Disaster Management Organization)
5:39:51 - Installing Folium and Pandas
5:53:00 - Problem Statement ( Titanic Data Analysis)
5:57:13 - Data Wrangling
6:23:39 - Web Scraping using Python
6:25:50 - Libraries used for Web Scraping ( Beautiful Soup)
6:27:39 - Requests library
6:32:35 - Data Visualisation on the browser
6:33:00 - Introduction to Bokeh
6:36:02 - Computer Vision using OpenCV
6:36:09 - How a computer reads an image
6:38:21 - What is OpenCV?
6:39:15 - Operations with OpenCV
6:40:09 - Load images using openCV
6:44:22 - Write Operation
6:44:51 - Face detection using OpenCV
6:55:55 - Capturing video
7:00:05 - Use Case - Motion Detector
7:00:15 - Problem Statement
7:00:38 - Solution Logic
7:11:49 - Plotting the Motion detection graph

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