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Recently Added Posts

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Advanced Server-Side Programming with Node.js

Today, 02:53 PM

Posted by TheCornor in OTHER SHARES

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Advanced Server-Side Programming with Node.js
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 702 MB
Genre: eLearning | Language: English

Node.js is a powerful, performance-efficient language. Its non-IO blocking technology makes it perfect for creating highly scalable web applications built around user interaction.

This course is for you if you have a basic understanding of Node.js and want to take your web applications to the next level in security and scalability by learning in-demand skills.


Node.js is a powerful, performance-efficient language. Its non-IO blocking technology makes it perfect for creating highly scalable web applications built around user interaction.
In this course, you will learn to create highly secure and scalable applications using various languages and frameworks such as EJS, PassportJS, OAuth (for user authentication with Facebook, Twitter and more), the Helmet module, and encryption with BCrypt. You will also learn about the MVC architecture to make sure your codebase is maintainable and scalable, making you a better developer overall.
This course is for you if you have a basic understanding of Node.js and want to take your web applications to the next level in security and scalability by learning in-demand skills.

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Apache Spark with Java - Learn Spark from a Big Data Guru

Today, 02:50 PM

Posted by TheCornor in OTHER SHARES

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Apache Spark with Java - Learn Spark from a Big Data Guru
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | Lec: 56 | 414 MB
Genre: eLearning | Language: English

Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.

This course covers all the fundamentals about Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java.


Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.
What is this course about:
This course covers all the fundamentals about Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building big data processing pipeline and data analytics applications.
This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache web logs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more.
What will you learn from this lecture:
In particularly, you will learn:
An overview of the architecture of Apache Spark.
Develop Apache Spark 2.0 applications with Java using RDD transformations and actions and Spark SQL.
Work with Apache Spark's primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
Deep dive into advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
Scale up Spark applications on a Hadoop YARN cluster through Amazon's Elastic MapReduce service.
Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding of Spark SQL.
Share information across different nodes on an Apache Spark cluster by broadcast variables and accumulators.
Best practices of working with Apache Spark in the field.
Big data ecosystem overview.
Why shall we learn Apache Spark:
Apache Spark gives us unlimited ability to build cutting-edge applications. It is also one of the most compelling technologies of the last decade in terms of its disruption to the big data world.
Spark provides in-memory cluster computing which greatly boosts the speed of iterative algorithms and interactive data mining tasks.
Apache Spark is the next-generation processing engine for big data.
Tons of companies are adapting Apache Spark to extract meaning from massive data sets, today you have access to that same big data technology right on your desktop.
Apache Spark is becoming a must tool for big data engineers and data scientists.

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Redux Fundamentals

Today, 02:48 PM

Posted by TheCornor in OTHER SHARES

ebd7a91a7a5f.jpeg
Redux Fundamentals
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 601 MB
Genre: eLearning | Language: English

Redux is a powerful tool to help keep your JS state manageable as your app scales. In this course, you'll learn how to quickly reap the benefits of Redux for any web app, wether you use React or not.


Application state is the central and crucial piece for any single-page web application. When your app starts to become confusing, this is generally where things go wrong. Painful and confusing bugs start creeping in and you can't seem to keep them out. In this course, Redux Fundamentals, you'll learn how to transform an existing web app to use Redux. First, you'll explore a React app with state problems and look at whether you should use Redux to fix these state problems. Next, you'll discover how to apply Redux piece by piece and analyze the basic building blocks of Redux in simple terms. Then, you'll delve into migrating your React app to Redux. Finally, you'll learn how to add Redux to any web app. By the end of this course, you'll be able to add Redux to an existing app or a brand new web application with confidence, and be able to exercise good judgment to choose when, how, and if using Redux is the right choice for your team.

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