Smart Data Collective

OCTOBER 14, 2019

With SQL, developers need this to help with Hadoop Scala and it’s essential for working with NoSQL. Take coursework in Python code, Java, Scala, a multi-paradigm, high-level programming language and C or C++. Developers need an understanding of MongoDB, Couchbase, and other NoSQL database types. Machine Learning. Programming Language.

Big Data 187

Big Data Skillset Data Mining Supply Chain 187

Simplilearn

DECEMBER 3, 2019

Introduction Hello and welcome to Lesson 4 of the Apache Spark and Scala course offered by Simplilearn. This lesson will explain how to use run SQL queries using SparkSQL. Objectives After completing this lesson, you will be able to: • Explain the importance and features of SparkSQL • Describe the methods to convert RDDs to DataFrame.

100

100

Simplilearn

DECEMBER 3, 2019

Introduction Hello and welcome to Lesson 5 of the Apache Spark and Scala training course offered by Simplilearn. This lesson will introduce and explain the concepts of Spark streaming. Objectives After completing this lesson, you will be able to: • Explain a few concepts of Spark streaming • Describe basic and advanced sources • Ex.

100

100

Simplilearn

DECEMBER 3, 2019

Introduction Hello and welcome to Lesson 6 of the Apache Spark and Scala course offered by Simplilearn. This lesson will introduce and explain the concepts of Spark Machine Learning or ML programming. Objectives After completing this lesson, you will be able to: • Explain the use cases and techniques of Machine Learning or ML • Descr.

100

100

Simplilearn

DECEMBER 3, 2019

7.001 Introduction Hello and welcome to the last lesson, Lesson 7, of the Apache Spark and Scala course offered by Simplilearn. This lesson will introduce and explain the concepts of Spark GraphX programming. 7.002 Objectives After completing this lesson, you will be able to: • Explain the key concepts of Spark GraphX programming • Discuss t.

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Smart Data Collective

APRIL 23, 2019

Scala: Play Framework. Back end development technologies include the following: Languages/Framework. Python: Django, Flask, Pylons Frameworks. Ruby: Ruby on Rails Framework. Java: Spring Framework. PHP: Laravel Framework. js (a Javascript runtime used for backend programming).

Planning 194

Planning 194

Smart Data Collective

APRIL 30, 2020

If you are interested in becoming a data scientist, then Java, Scala and Python are three of the most popular languages. This means that you should do some research and figure out which one will meet your needs and ideas for programs and apps. However, other programming languages are also useful for creating big data projects.

Big Data 218

Big Data 218

Leading Agile

JULY 4, 2018

Part 2 (this):Guard (with Ruby) and SBT (with Scala). Sbt for Scala. sbt was designed to support Scala development. This tool is part of the Java ecosystem, and as such it assumes a default project directory structure similar to the Maven convention, plus an optional ‘project’ subdirectory for Scala helper files.

Monitoring 59

Monitoring Documentation Agile 59

Sisense

MAY 27, 2019

Typically, data engineers use Python, R, Java, C++, and Scala programming languages. Similarly, data scientists use Python and R, Scala, Java, and C++, although Scala is more popular with data engineers because the integration with Spark is especially handy to set up large ETL flows.

Skillset 75

Skillset Cloud Computing Big Data Visualization 75

Leading Agile

SEPTEMBER 26, 2018

If we remember Java is a platform, and not merely a source language, then most or all of those arguments vanish in a puff of logic. Need dynamic typing ? Use Groovy. Need functional programming ? Need a Lisp /Scheme-like thing? Use Clojure. Need Ruby ? Need Python ? Use Jython.

IBM Maintenance 117

IBM Maintenance IBM Support 117

Cprime

JUNE 7, 2021

SonarQube supports a variety of programming languages, including Java, C#, C/C++, JavaScript, TypeScript, COBOL, Apex, PHP, Kotlin, Ruby, Scala, HTML, CSS, ABAP, Flex, Objective-C, Python, Go, Swift, PL/SQL, T-SQL, VB.NET, VB6, and XML. Some languages require a commercial license, though.

Agile 52

Agile 52

Whizlabs

APRIL 9, 2021

The entire platform is written with the Java & Scala language. Apache Kafka , originally developed by LinkedIn, is an open-source data streaming platform donated to the Apache Software Foundation. The APIs within Apache Kafka are responsible for allowing the producers to integrate data streams into the record logs.

Data Analytics 111

Data Analytics Data Analytics Data Security Planning 111

Cprime

APRIL 27, 2022

Examples include developers skilled in Ruby, Go, Scala, and C languages. In many cases, the most challenging tech positions to fill are those handled by senior engineers and developers, especially those specializing in niche in-demand skills.

Agile 52

Agile 52

Leading Agile

JULY 2, 2018

Part 2: Guard (with Ruby) and SBT (with Scala). The Ruby gem, guard , is a popular tool in that community, and sbt is a Scala-focused tool that can support Java (although few Java developers use it), and other languages through plugins. Part 1 (this): Command-line utilities and wrapper scripts.

IBM Support 69

IBM Support IBM Maintenance IBM cost Documentation 69

Smart Data Collective

NOVEMBER 8, 2020

Data engineering primarily revolves around two coding languages, Python and Scala. Similarly, various tools used in data engineering revolve around Scala. Scala runs on Java Virtual Machine, making it compatible with various Java libraries available. You should learn how to write Python scripts and create software.

Big Data 204

Big Data Cloud Computing Banking Data Automation 204

Leading Agile

JULY 6, 2018

Part 2 : Guard (with Ruby) and SBT (with Scala). In Part 2, we climbed up the pile of tools a bit and tried out guard (Ruby) and sbt (Scala). To exercise Infinitest, I created a trivial project called incrementer along the same lines as the Python, Ruby, and Scala projects we defined in Parts 1 and 2 of this series.

Documentation 179

Documentation Agile 179

Whizlabs

JUNE 8, 2021

Along with that, you also need to have theoretical and practical knowledge of Python, Scala, or Java to clear this examination with good grades and on the first attempt. While preparing for this certification, you will gain your skills of using the right tools from the open-source ecosystem of big data.

Big Data 52

Big Data Monitoring Data Analytics Data Analytics 52

Astera

MAY 6, 2024

Key Features: Mathematically expressive Scala DSL Support for multiple distributed backends (including Apache Spark) Integration with Hadoop and Spark Scalability Algorithm support Pros: Can handle large datasets. With its distributed architecture, Apache Mahout allows scalability over machine clusters.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Leading Agile

AUGUST 29, 2018

For some languages, the developer workflow in the minimal environment is actually better than that with a full-featured IDE; notably Scala, Ruby, and COBOL; NET developer experience is comparable to using VSCode; better than using VisualStudio in my opinion. When trying out Scala, I found a very nice developer workflow was possible with sbt.

Documentation 69

Documentation 69

InfoQ Articles

AUGUST 28, 2022

James Ward is a Java Champion and Google’s Kotlin Product Manager. In a podcast, Ward agreed that “people are still trapped in the Java world” and called default mutability in Java the “trillion-dollar mistake”. In this interview, he speaks about the state of Java, JVM languages, mutability, and functional programming. By Karsten Silz.

Product Management 105

Product Management Product Management 105

Astera

DECEMBER 28, 2023

Some tasks will require Python and Scala expertise. While is offers support for creating ETL scripts, only two programming languages are supported: Python and Scala. Offers advanced users the ability to create ETL scripts with custom endpoints. Cons While the UI is user-friendly, it’s not entirely beginner friendly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Some tasks will require Python and Scala expertise. While is offers support for creating ETL scripts, only two programming languages are supported: Python and Scala. Offers advanced users the ability to create ETL scripts with custom endpoints. Cons While the UI is user-friendly, it’s not entirely beginner friendly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

MARCH 11, 2024

Allows to add new data sources and write custom data processors in JavaScript, Groovy, Scala, etc., Pros Provides an intuitive user experience with a drag-and-drop GUI for performing data transformations before loading into Snowflake. providing users with flexibility and extensibility in data processing.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Leading Agile

JULY 30, 2018

Scala is a JVM language and sbt uses the Maven repository format for dependencies, but you have to declare a resolver explicitly. resolvers += "Nexus" at "[link]. For more information please see the Sonatype Nexus SBT help topic.

Monitoring 69

Monitoring Planning Agile 69

Inflexion Analytics

AUGUST 24, 2020

Databricks supports several languages such as Java, Python, Scala, SQL, as well as libraries such as PyTorch and TensorFlow. Azure Databricks. Azure Databricks is an analytical service tool based on Apache Spark. Large datasets can be processed quickly. Spark data can be integrated with any of these languages and frameworks.

Data Warehouse 52

Data Warehouse Data Analytics Data Analytics Big Data 52

Whizlabs

JUNE 14, 2021

Also, you learn how to develop applications using the Scala programming language. As the name of the certification indicates, you will learn how to develop applications using open-source technologies such as Apache Spark and Apache Hadoop software framework protocols.

IBM Maintenance 52

IBM Maintenance IBM Support Big Data Finance 52

Leading Agile

OCTOBER 15, 2018

Today, Java is regarded as fairly verbose and clunky; the quest to improve it has led to Groovy, Scala, Clojure, and Kotlin, each of which builds on and improves on Java in one way or another. And look at all the things C has led to. C eventually led to C++ and Objective C, and those influenced Java and C#.

Project Management 80

Project Management Product Management Product Management 80

Leading Agile

AUGUST 15, 2018

Using something like guard (a Ruby gem) for most languages, or a tool that comes with the language, like sbt for Scala, I can enjoy continuous testing support for any programming langauge, not limited by support that may or may not be present in any given IDE.

Visualization 72

Visualization Agile 72

Leading Agile

SEPTEMBER 12, 2018

On the other hand, the work flow with Clojure and Leiningen or Scala and sbt (also JVM languages) can be smoother and lighter-weight using just a text editor and a terminal emulator in a separate window. Working with JVM languages, it’s hard to imagine achieving a smooth work flow with Java, Kotlin, or Groovy without a good IDE.

IBM Support 72

IBM Support IBM cost IBM Maintenance Monitoring 72