Apache Spark Project World Development Indicators Analytics
Development100% OFF

Apache Spark Project World Development Indicators Analytics

Udemy Instructor
3.8(1.4K students)
Self-paced
All Levels

About this course

In this Apache Spark course you will learn to Analyze data (World Bank Dataset) in Apache Spark using Databricks Notebook (Community edition), 1) Basics flow of data in Apache Spark, loading data, and working with data, this course shows you how Apache Spark is perfect for Big Data Analysis job. 2) Learn basics of Databricks notebook by enrolling into Free Community Edition Server 3) World Development Indicators Analytics Project a real world examples. 4) Graphical Representation of Data using Databricks notebook.5) Publish the Project on Web to Impress your recruiter 6) Hands-on learningAbout Databricks: Databricks lets you start writing Spark queries instantly so you can focus on your data problems.Lets discover more about the World Development Indicators Analytics Project using Apache SparkData:The World Development Indicators from the World Bank contain over a thousand annual indicators of economic development from hundreds of countries around the world.

Skills you'll gain

Software EngineeringEnglish

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • 📹Video lectures
  • đź“„Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$100.99

Save $100.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

You May Also Like

Explore more courses similar to this one

DevSecOps: How to secure Web App with AWS WAF and CloudWatch
Development
990 left

DevSecOps: How to secure Web App with AWS WAF and CloudWatch

Sergii Demianchuk

What you'll learn:How exceptions and logging should be organized at web application to become a security defensive toolHow to secure Web application at AWS CloudHow to configure AWS WAFHow to use AWS WAF managed rulesHow to use AWS WAF custom black and white listHow to use AWS WAF custom rate rulesHow to configure WAF alarmsHow to use CloudWatch as detector of abnormal hacker's behaviorHow to build custom CloudWatch filters and alerts upon itHow to use Athena to analyse WAF and application logsCyber thread analysis basics using Athena and ExcelRequirements:Active AWS accountSome active web domainBasic knowledge at using docker and web programmingShort description:Current course is about how to secure Web Application against hacker's attacks with AWS cloud solutions using application level, centralized log system and firewall protection. You will also learn a lot about how to provide effective cyber thread analysis during hacker's attack and after it.COURSE STRUCTURE:The course starts from creating a very small API application. For that purpose I will use the Python programming language and Flask framework. If you are not aware of current technologies, don't worry, you should not. Believe me, the application would be extremely simple, so anyone, even a child, can understand how it works.While creating according application I will concentrate at next essential aspects:Custom exceptionsLoggingI will explain why it is so essential to have those both things at any application and how to make it properly in order it would be helpful from a security defense perspective.The principles which I will show you are extremely simple and can be easily propagated at any existing web application. You will see the real power of properly done exceptions and logging at your own eyes when we will make real hacker’s attacks simulations at our application after deploying it at AWS cloudGenerally speaking, deploying - it is 2nd essential part of our learning. Together we will deploy our test API application at AWS using Terraform. And again, if you have never used current technology, don’t worry. I will show you step by step, how to run according terraform scripts.At 1st we will prepare the AWS network, after that we will deploy AWS ALB with WAF, and finally, at the last step, we will deploy our application at EC2 using an auto scaling group. Current pattern of deployment can be easily used by you at production as it is rather cost effective and almost a HA solution. Though as every solution it also has some limitations, which I will discover during Terraform lecturesAt deployment section I will speak a lot about different AWS Services, that would be used for creating security defense mechanismsIAM policies and Security groups as restriction mechanisms to our resourcesS3 as place for keeping our ALB and WAF logsCloudWath as centralized log storage and alarm systemSNS - as mechanism for sending alarm notifications during security attacks detectionI will also touch a little bit Route 53 and Certificate manager servicesThe deployed Falsk application and all AWS infrastructure around it would be intensively used as a lab environment for imitating different hacker’s attacks and providing a cyber security learning process. That will allow you to perform real practice training and try different security tools and tricks with your own hands. That is why, as for me, it is so essential to have it to be done.In the third section we will speak about AWS WAF. We will discuss in details:What resources can we attach WAF at - ALB, API gateway, CloudFrontHow properly to configure itWhy correct configurationof AWS WAF is so time consuming processHow to set up AWS WAF managed rules and custom blocking policiesHow to analyse WAF and ALB logs using Athena Why WAF is not silver bullet that can’t protect web app against all possible threatsAt current section I will also show you some examples of real attacks that were blocked by WAF taken from my commercial experience, in order you could feel how powerful WAF is as a security defense toolAt 4th section we will discuss deeply AWS CloudWatch service, especially:how to use our application logs as security detectorhow to build custom CloudWatch filtershow to raise alerts in case web application is under the hacker’s attackhow you can be aware of attack even before WAF will detect it, or when WAF could not deal with the problemIn the 5th section we will speak about cyber threat analysis using Atena and Excel after a hacker's attack. We will discuss how to gather all required data using Athena and how to verify if the hacker's actions had any success.At last section we will make a short summary of all passed practice materials, by creating effective security defense framework, that can be used at any cloud or even at on-premise solutionsWho this course is for:Anyone who is interested at cyber security or who is responsible for Web resources:Software engineerDevOpsAdminCTOCEO

4.5•17.3K•Self-paced
FREE$101.99
Enroll
ChatGPT: Complete ChatGPT Guide For Beginners
Development
1.0K left

ChatGPT: Complete ChatGPT Guide For Beginners

Udemy Instructor

The Complete ChatGPT Guide for Beginners Course is provides hands-on exercises and projects to help learners gain practical experience using ChatGPT, including fine-tuning the model for specific tasks such as language translation, copywriting, and SEO plans.It is also suitable for people who want to learn how to use ChatGPT for creative tasks, such as generating text and other forms of content. The course is intended for people who want to learn about the best practices for working with ChatGPT. The course is also suitable for those who want to use ChatGPT for automated content generation, such as news articles, product descriptions, and social media posts.This Course Includes:Theory of ChatgptWhat is ChatGPTCan You Create With ChatGPTBenefits of ChatGPTLimitations of ChatGPTCreate ChatGPT Account and TourCreate ChatGPT AccountHow To Tour ChatGPT InterfaceEveryday With ChatGPTWrite a Scripts For YouTube Video Making Using ChatGPTCreate a New Business Idea Using ChatgptHow to Write Blog Content Using ChatGPTHow to Translation Any Language Using ChatGPTThe course covers fine-tuning ChatGPT for specific tasks or domains, such as finance, healthcare, or technology, text completion, sentiment analysis, integration with other AI technologies, such as computer vision and natural language understanding, language translation, text generation and data generation.Additionally, this course covers the ethical considerations when working with ChatGPT and gaining hands-on experience with ChatGPT through practical projects and exercises. By the end of the course, participants will have a comprehensive understanding of the capabilities and limitations of ChatGPT and how to apply it in real world scenarios.Overall, The Complete ChatGPT Guide for Beginners Course is an excellent resource for anyone looking to gain a solid understanding of ChatGPT and its capabilities. It provides a step-by-step guide to using ChatGPT for a variety of natural language processing tasks, from building chatbots and text summarizers.First, you should watch promotional videos and watch the free preview lessons. I think they're going to give you a good idea of the quality of the course content, pace, and what to expect from taking the course. Apart from that, Udemy offers a 30-day money-back guarantee with no questions asked!To achieve everything mentioned in this piece of advice, Enroll in this course now!

0.0•18.1K•Self-paced
FREE$84.99
Enroll
Master Go (Golang): Build Scalable Web Applications
Development
999 left

Master Go (Golang): Build Scalable Web Applications

Udemy Instructor

Are you ready to build high-performance, scalable, and robust web applications with one of the most in-demand programming languages?Go (Golang) is rapidly becoming the language of choice for building modern, concurrent, and efficient systems, from microservices to large scale web platforms. Companies like Google, Uber, Twitch, and Dropbox rely on Go for its speed, simplicity, and excellent concurrency model. If you're looking to elevate your backend development skills and future proof your career, this is the course for you!In this comprehensive course, you'll go from Go beginner to confident Go developer, equipped to build professional grade web applications. We'll cover everything from the fundamentals of the Go language to advanced topics like concurrency, database interactions, API development, and deployment strategies.What You'll LearnGo language fundamentals (types, functions, structs, interfaces)How to build web servers using Go's powerful net/http packageRouting, middleware, and request handlingBuild and consume RESTful APIsWorking with databases (SQL & NoSQL) using GoSecure authentication and user sessionsApplication architecture and modular designTesting and debugging Go web applicationsDeploying Go apps to production (Docker, cloud services)Course FeaturesStep-by-step, hands-on coding tutorialsReal-world projects you can use for your portfolioClear explanations of Go’s concurrency model and how it scalesBy the end of this course, you'll have a strong portfolio of Go web applications and the confidence to tackle real-world projects, whether you're building microservices, APIs, or full-stack web platforms. Enroll today and unlock the power of Go!

0.0•2.9K•Self-paced
FREE$90.99
Enroll