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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. In the world of technology, things are always changing. In this blog post, we will discuss such technologies.

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REST APIs Using Play Framework and Scala: A Comprehensive Guide

Rock the JVM

Play Framework “makes it easy to build web applications with Java & Scala”, as it is stated on their site, and it’s true. In this article we will try to develop a basic skeleton for a REST API using Play and Scala. PlayScala plugin defines default settings for Scala-based applications. import Keys._

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Scala For Big Data Engineering – Why should you care?

Advancing Analytics: Data Engineering

The thought of learning Scala fills many with fear, its very name often causes feelings of terror. The truth is Scala can be used for many things; from a simple web application to complex ML (Machine Learning). The name Scala stands for “scalable language.” So what companies are actually using Scala?

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The Scala Travel Diary

Zalando Engineering

It’s no secret that Zalando Tech has had its hands full lately with its participation in several Scala conferences and meetups. As a company who practices Radical Agility , our use of Scala has skyrocketed and it’s now one of our most adopted programming languages amongst developers. So, where have we been in the Scala world?

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Apache Spark Use Cases & Applications

Knowledge Hut

Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. Spark is developed in Scala programming language. While today with Spark and Scala/Pythons these algorithms can be implemented in few hundreds of lines of code.

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Brief History of Data Engineering

Jesse Anderson

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Some people blamed the technologies. The technologies more or less work well. At various times it’s been Java, Scala, and Python. Now people are excited about Rust.

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How to Become Databricks Certified Apache Spark Developer?

ProjectPro

Apache Spark developers should have a good understanding of distributed systems and big data technologies. Python, Java, and Scala knowledge are essential for Apache Spark developers. A good understanding of big data technologies like Hadoop, HDFS, Hive, HBase is important to be able to integrate them with Apache Spark applications.

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