Scala is a general-purpose programming language providing support for functional programming and a strong static type system. Designed to be concise, many of Scala's design decisions aimed to address criticisms of Java.
Joseph  Murray

Joseph Murray


Why the Future of Java is Scala Features

We’re less than a week away now from the official release of Java 17, the first Long Term Support release of Java since Java 11. As you already know, Scala is a programming language for the Java Virtual Machine . The Scala compiler compiles Scala source to JVM bytecode just like the Java compiler.
He wanted the Java programming language to adopt generics.

#scala #Java 

Why the Future of Java is Scala Features

Learn What Scala Is in 7 Minutes

Scala has been growing in popularity across different industries in recent years. Therefore, developers are curious and keen to learn more about it. In this video, we will explore Scala, learn Scala features, and discuss its applications and when we should learn and use it. Through this video, you will learn Scala and understand what Scala is. You will learn of the different programming paradigms it adopts, its relation to Java, its applications, Apache Spark and Big Data, and you will be able to decide if you want to learn it.


Learn What Scala Is in 7 Minutes

You Should Study / Use What in Java Compared with Scala

In this video, we discuss the 5 main questions that you should be asking before you decide on one for your application. We talk about Pros vs Cons of each, as well as the different scenarios and what language they would require. We also discuss the importance of Scala and Java in the industry, and what the employers want.

#java #scala 

You Should Study / Use What in Java Compared with Scala
Mariya James

Mariya James


Top 20 Most Popular Programming Languages For 2021 and Beyond

Top 20 Most Popular Programming Languages For 2021

Several programming languages are there; still, new ones are constantly emerging. But the major concern is which one running the whole market or which programming language is the most popular and well suited for web and mobile app development.

This list will help you choose the best language for web and mobile app development-




#ProgrammingLanguages #BestProgrammingLanguage #Webapplicationdevelopment #mobileappdevelopmentservices #AI #programming #JavaScript #Python #PHP #JAVA #Kotlin #android #ios #swift #Ruby #Golang #HireCustomAppDevelopers #C #ListOfTopProgrammingLanguages #HTML #Rust #perl #scala #scheme #bestmobileappdevelopmentcompany

Top 20 Most Popular Programming Languages For 2021 and Beyond
Aiyana  Miller

Aiyana Miller


Code Free Visualization with Python, R, Scala, and SQL

You have probably used the Databricks Notebook SQL output plot visualizations.  But did you know you can also use it with Python, R, and Scale via the display() function.  This is powerful and will change the way you explore your data. I'll tell you how.

#Python #scala #sql

Code Free Visualization with Python, R, Scala, and SQL
Joseph  Murray

Joseph Murray


Learn All About Scala vs Java: Thier Difference [2021]

Scala is a type-safe JVM (Java Virtual Machine) language launched by Martin Odersky in 2003. It combines both object-oriented and functional programming paradigms into a concise and logical high-level language. Scala is sometimes viewed as an attempt to create a better version of Java, and rightly so. While developing Scala, the main focus remained on eliminating Java’s limitations that made it tedious and stringent. Naturally, there’s a notable difference between Scala and Java’s syntax and paradigms. 

#scala #Java 

Learn All About Scala vs Java: Thier Difference [2021]
August  Larson

August Larson


Learn What are Python and Scala? Their Difference ?

The Data Science and Analytics community bears an exceptional likeness for Python and Scala, and rightly so. Both Python and Scala are excellent tools that can cater to various programming and Data Science needs. From designing small-scale projects to building complex ML projects, Python and Scala show outstanding agility and flexibility. 

While both these programming languages are great for developing innovative projects on new-age technologies, there are significant differences between Python and Scala. 

Table of Contents

#python #scala 

Learn What are Python and Scala? Their Difference ?
Sydnie  Hansen

Sydnie Hansen


Query Your Data Streams in Real Time With Kinesis Data Analytics Studio

This video shows you how Amazon Kinesis Data Analytics Studio simplifies querying data streams using SQL, Python, or Scala. A managed Apache Zeppelin notebook-based development environment and stream processing powered by Apache Flink lets you quickly analyze streaming data from a variety of sources including Amazon Kinesis Data Streams and Amazon Managed Streaming for Kafka (Amazon MSK).

Get started -
Learn more -

#data-analysis #sql #python #scala #aws

Query Your Data Streams in Real Time With Kinesis Data Analytics Studio
Samanta  Moore

Samanta Moore


Java-8 Streams Tutorial

Hi folks, In this blog we would talk about one of the features of Java 8 which is Streams. The java package contains classes to support functional-style operations on streams i.e. map, filter etc. Streams is not a data structure that stores something instead of it a way to flow data from source to destination with some intermediate operation in between. Let’s take an example first so that we can grasp concepts fast.

This image has an empty alt attribute; its file name is untitled-diagram-15.png

Let’s say, we have a collection of books Collection where Book class has two attributes writer and price and we want to obtain the sum of price’s where the writer is “Neil Chetan”. In order to obtain the result, we need to do some like –

int totalPrice =
                      .filter(b -> b.getWriter() == "Neil chetan")
                      .map(b -> b.getPrice())

The stream is a series of operations that can be Intermediate or terminal operation.

  • The Intermediate operations return a new stream as result and we can call multiple intermediate operations one after the other. The Intermediate operations are executed before terminal operation. These types of operation are always lazy in nature means they will not be executed until the result of a processing is needed.
  • The Terminal operation allows us to produce a final result from the remaining data. After applying this operation on the stream means that the stream has consumed. Computation on the stream pipeline is performed when the terminal operation is initiated.

#java #scala #tech blogs #java 8 streams #java8 #streams

Java-8 Streams Tutorial
Sigrid  Farrell

Sigrid Farrell


Spring Custom Validations

While building applications and services it is very important that we maintain data integrity especially if they are data centric. It is crucial to have control over the data that the application interacts with to ensure it behaves as expected. This can be done using validations.

Many times the data received may get corrupted before reaching the application or the user may provide wrong inputs. This will not create a problem if validations are applied as the application can return invalid requests and may ask the user to provide correct fields, but in absence of validations it is surely to cause problems at some instance, as it may process incorrect data and disrupt the flow.

Spring makes our lives easier by providing us with some build-in validations like

  • @NotNull
  • @NotBlank
  • @Size
  • @Min

But sometimes these are not enough. For eg when we need to validate a field which should only expect a 10 digit phone number. In cases like these we need to build our own custom validations.

In this blog we will have a look at how we can add custom validations with the help of an example.

#scala #spring custom validations #spring #spring custom

Spring Custom Validations
Bongani  Ngema

Bongani Ngema


Understanding Git and Git Basic Workflow

Git is a valuable tool for the ones who are in the software industry, and it is the most popular version control system in the world and used by 90% of the industry. It is no doubt a very important skill to have on your resume when starting your career in the industry. In the following article, we will understand what is Git and its basic workflow.

What is Git?

Git is the most popular version control system in the world and used by the majority of the IT industry. A version control system records changes made in the files over time and can store those changes in a repository.

Through a repository, Programmer can monitor their project code and modify them accordingly using a repository . We can also revert to any version of the files if we have made a mistake in the process. Without version control system the developers will store multiple versions of the files they are working on if any changes are made and the job will become exhausting if multiple developers are working on the same project. With Git we can track our work history and collaborate easily on the project.

This simple concept of recording changes throughout the development cycle has proven efficient and has opened consequential applications.

Why use Git?

Git is valuable for multiple reasons. It is a distributed version control system which means every developer working on the project has access to the codebase of the files including its complete history. Git is free and open-source which means it can be used by anyone without any charges. It is also easy to understand and extremely scalable.

What is Git Workflow?

Git workflow also referred to sometimes as Gitflow is a branched based development procedure that helps the team of developers for continuous deployment of the project. Git workflow is an ideal choice for projects with schedule release cycle and for DevOps project. But since Git workflow is simple and efficient it is suitable for any projects with different scales and practices.

Understanding Git Workflow

For beginners to understand the process of basic Git Workflow we will need to know three things.

  1. Project directory

  2. Staging area

  3. Repository

#github #scala #git #git-flow #git-work-flow

Understanding Git and Git Basic Workflow
Ian  Robinson

Ian Robinson


Big Data Ingestion Options


This article is based on my previous article “Big Data Pipeline Recipe” where I gave a quick overview of all aspects of the Big Data world.

In this article, I will review a bit more in detail the critical **data ingestion **process and talk about the different options.

This is the first process when building a data pipeline and probably, the most critical one. **Careful planning and design is required **since this process lays the groundwork for the rest of the data pipeline.

#hadoop #spark #python #big-data #scala #big data ingestion options

Big Data Ingestion Options
Samanta  Moore

Samanta Moore


Configuring SSL/TLS Connection Made Easy

In this article, we discuss how to easily configure an SSL/TLS connection in Java to better secure your application.

Setting up encryption for your application, how hard can it be? I thought it would be easy, after all, all communication with modern web applications should be encrypted, right? Well, my expectations were wrong. While setting it up, I encountered a couple of hidden difficulties. For example, the configuration is vague, verbose, not straight-forward to set it up, hard to debug, and not unit-test friendly.

For this article, I’ll assume you already have a basic understanding of certificates, keystores, encryption protocols, and ssl-handshake. If not, I would recommend going through this article: How to Easily Set Up Mutual TLS.

It will go through the following topics:

  • No security.
  • One-way authentication.
  • Two-way authentication.
  • Two-way authentication with trusting the Certificate Authority.

I will also explain how to create KeyStores, Certificates, Certificate Signing Requests, and how to implement these techniques.

#java #security #scala #ssl #tls #client #java security

Configuring SSL/TLS Connection Made Easy
Samanta  Moore

Samanta Moore


Stream your data using Kinesis data stream

We live in a world driven by data and every second we are processing a large amount of data, using it, analysing it, and transforming it. Data is very essential for businesses these days. Therefore the need for handling the Dynamically generating data is important. As the number, variety, and velocity of data sources grow, new architectures and technologies are needed. This is where the need for data streaming services is needed. One of these streaming services is AWS Kinesis data stream.

What is Kinesis data stream?

Kinesis data stream is a real time data streaming service from AWS. It is a highly scalable service which can stream gigabytes of data per second. It is a highly fast streaming service enabling us to collect data in real-time instantly.

Common challenges in data streaming:

  • Complex setup
  • Scalability
  • Hard to achieve high availability
  • Integration requires development
  • Expensive to maintain.

Why choose Kinesis data streams?

There are different streaming services available on the market but why and when should we use Kinesis data stream? To answer this question let us look at some advantages of it.

  • Easy to use: It allows us to rapidly develop applications by providing us AWS SDK, Kinesis Client library, connectors and agents which are. Easily process data with built-in integrations to AWS Lambda, Amazon Kinesis Data Analytics, and AWS Glue Schema Registry.
  • Real-time performance: highly fast streaming service enabling us to collect data in real-time instantly.
  • Elastic: Dynamically scale your applications. These data streams scale from megabytes to terabytes per hour, and scale from thousands to millions of PUT records per second.
  • Low cost: It has no upfront cost, and you only pay for the resources you use.

#java #scala #aws #java #java8 #streaming

Stream your data using Kinesis data stream
Nick  Sample

Nick Sample


Scala Tutorial - Learn Scala in one Video

There are a lot of basic things to learn before you are able to use Scala efficiently. In this Video you learn most of the Scala basic features. I used Scala 2 for this video.

Intro: (00:00:00)
Getting Started: (00:00:21)
Variables & Types: (00:01:58)
Strings: (00:05:44)
Tuples: (00:07:24)
String Interpolation: (00:10:06)
If Statement: (00:11:53)
Do-While & While-Loop: (00:13:20)
For-Loop: (00:14:33)
Using Java Libraries: (00:18:35)
Functions & Lambdas : (00:19:36)
Arrays: (00:30:12)
Collections (Lists & Maps): (00:33:51)
Traits & Classes with Extentions & Mixin : (00:45:40)
Compound Types: (00:51:18)
Nested Classes: (00:53:26)
Case Classes: (00:54:46)
Singleton Objects: (00:57:36)
Functions as Objects: (00:58:50)
Generics: (00:59:49)
Self-Type: (01:01:31)
Implicit Classes: (01:04:41)
Operators: (01:07:58)
Pattern Matching: (01:09:51)
Outro: (01:21:04)



Scala Tutorial - Learn Scala in one Video