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WebSockets in Scala, Part 2: Integrating Redis and PostgreSQL

Rock the JVM

Let’s create a validateutility.scala in the following path, src/main/scala/rockthejvm/websockets/domain , and add the following code: package rockthejvm.websockets.domain import cats.data.Validated object validateutility { def validateItem [ F ]( value : String , userORRoom : F , name : String ) : Validated [ String , F ] = { Validated.

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Build More Reliable Distributed Systems By Breaking Them With Jepsen

Data Engineering Podcast

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break. This brings with it a vast number of subtle ways that errors can creep in.

Systems 100
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Scala In Demand Technologies Built On Scala

Knowledge Hut

The term Scala originated from “Scalable language” and it means that Scala grows with you. In recent times, Scala has attracted developers because it has enabled them to deliver things faster with fewer codes. Developers are now much more interested in having Scala training to excel in the big data field.

Scala 52
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Two-Factor Authentication in Scala with Http4s

Rock the JVM

If you want to master the Typelevel Scala libraries (including Http4s) with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. HOTP scala implementation HOTP generation is quite tedious, therefore for simplicity, we will use a java library, otp-java by Bastiaan Jansen.

Scala 92
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A guide to UDP in Scala with FS2

Rock the JVM

Setting Up Let’s create a new Scala 3 project and add the following to your build.sbt file. The UDP Server Create Fs2Udp.scala in the following path, src/main/scala/com/rockthejvm/fs2Udp/Fs2Udp.scala and add the following code: package com.rockthejvm.fs2Udp import cats.effect. val scala3Version = "3.3.1" lazy val root = project.

Scala 90
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Building ETL Pipeline with Snowpark

Cloudyard

Snowflakes Snowpark is a game-changing feature that enables data engineers and analysts to write scalable data transformation workflows directly within Snowflake using Python, Java, or Scala. Step 1: Loading RAW Tables Step 1: Loading RAW Tables In the RAW layer, data from operational systems is ingested as-is.

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Adopting Spark Connect

Towards Data Science

However, this ability to remotely run client applications written in any supported language (Scala, Python) appeared only in Spark 3.4. In any case, all client applications use the same Scala code to initialize SparkSession, which operates depending on the run mode. getOrCreate() // If the client application uses your Scala code (e.g.,

Scala 75