Rock the JVM

DECEMBER 17, 2023

It works by bundling up data in a UDP packet, adding header information, and sending these packets to the target destination. In this article, we will first understand how to implement UDP with Java NIO and gradually transition to Fs2’s io library which provides binding for UDP networking. val scala3Version = "3.3.1" Stream import fs2.io.net.Network

Scala 90

Scala Bytes Java Coding 90

Christophe Blefari

JUNE 21, 2024

you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with Here what Databricks brought this year: Spark 4.0 — (1) PySpark erases the differences with the Scala version, creating a first class experience for Python users. (2) Databricks sells a toolbox, you don't buy any UX. 3) Spark 4.0

Metadata 147

Metadata Data Warehouse BI MySQL 147

Scott Logic

MARCH 30, 2025

Previous posts have looked at Algebraic Data Types with Java Variance, Phantom and Existential types in Java and Scala Intersection and Union Types with Java and Scala In this post we will combine some ideas from functional programming with strong typing to produce robust expressive code that is more reusable.

Scala 40

Scala Java Coding Systems 40

Zalando Engineering

APRIL 12, 2023

Some teams use tools like dependabot , scala-steward that create pull requests in repositories when new library versions are available. The Software Bill of Materials contains information about the packages and libraries used by an application. next biggest app) and for Java it's tableau (3.14x next biggest app). What are SBOMs?

Java 98

Java Scala Python Metadata 98

Cloudera

MARCH 2, 2021

This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. It’s also worth noting that even those with Java skills will often prefer to work with SQL – if for no other reason than to share the workload with others in their organization that only know SQL.

SQL 112

SQL Java Data Lake Scala 112

Data Engineering Podcast

JUNE 12, 2022

Another category of unstructured data that every business deals with is PDFs, Word documents, workstation backups, and countless other types of information. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Snowflake

OCTOBER 30, 2023

Enter the new Event Tables feature, which helps developers and data engineers easily instrument their code to capture and analyze logs and traces for all languages: Java, Scala, JavaScript, Python and Snowflake Scripting. For further information about how Event Tables work, visit Snowflake product documentation.

Java 111

Java Scala Hadoop Data Ingestion 111

Rock the JVM

JANUARY 8, 2023

Antonio is an alumnus of Rock the JVM, now a senior Scala developer with his own contributions to Scala libraries and junior devs under his mentorship. Which brings us to this article: Antonio originally started from my Sudoku backtracking article and built a Scala CLI tutorial for the juniors he’s mentoring.

Scala 52

Scala Java Algorithm Utilities 52

Knowledge Hut

JANUARY 18, 2024

Data scientists are thought leaders who apply their expertise in statistics and machine learning to extract useful information from data. It is a declarative language for interacting with databases and allows you to create queries to extract information from your data sets. There are many languages required for data science.

Programming Language 98

Programming Language Data Science Programming Java 98

Zalando Engineering

NOVEMBER 19, 2023

And even if you were to gather all the information from the docs, it's still not enough. It provides a powerful information retrieval language and engine that integrates several microservice components built by the Search Department. However: It’s in Java. Upgrading the Elasticsearch API to be able to work with version 8.x

Scala 83

Scala Java Coding IT 83

Monte Carlo

OCTOBER 31, 2024

In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development. This can come with tedious checks on secure information like PII, extra layers of security, and more meetings with the legal team.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Data Engineering Podcast

NOVEMBER 6, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. How has that informed your efforts in the development and release of the project? How has that informed your efforts in the development and release of the project?

MongoDB 130

MongoDB MySQL Scala Machine Learning 130

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. A variety of platforms have been developed to capture and analyze that information to great effect, but they are inherently limited in their utility due to their nature as storage systems.

Metadata 130

Metadata MongoDB MySQL Scala 130

Cloudera

MAY 3, 2021

This data engineering skill set typically consists of Java or Scala programming skills mated with deep DevOps acumen. They no longer need to ask a small subset of the organization to provide them with information, rather, they have tooling, systems, and capabilities to get the data they need. A rare breed.

Scala 103

Scala Retail Java SQL 103

Data Engineering Podcast

SEPTEMBER 11, 2022

In this episode he shares his journey from building a consumer product to launching a data pipeline service and how his frustrations as a product owner have informed his work at Hevo Data. In addition, data discovery is made easy through Sifflet’s information-rich data catalog with a powerful search engine and real-time health statuses.

Data Pipeline 130

Data Pipeline Building MongoDB MySQL 130

ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? Which has a better future: Python or Java in 2021? This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021.

Java 52

Java Data Science Python Programming Language 52

Confluent

JULY 16, 2019

For general information about how to build scalable and reliable machine learning infrastructures with Apache Kafka ecosystem, check out the article Using Apache Kafka to Drive Cutting Edge Machine Learning. Based on this information, it’s wise to ensure that at least your front door is under constant surveillance.

Machine Learning 101

Machine Learning Kafka Java Datasets 101

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

Certification 98

Certification Programming MongoDB R (Programming) 98

Cloudera

JULY 18, 2022

In this blog we will explore how we can use Apache Flink to get insights from data at a lightning-fast speed, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). It provides flexible and expressive APIs for Java and Scala. Use case recap.

Process 91

Process Kafka Scala SQL 91

Data Engineering Podcast

AUGUST 13, 2022

In this episode Shinji Kim discusses the challenges of data discovery and how to collect and preserve additional context about each piece of information so that you can find what you need when you don’t even know what you’re looking for yet. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Metadata 100

Metadata MongoDB MySQL Scala 100

Knowledge Hut

MAY 3, 2024

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Data Engineering Podcast

AUGUST 21, 2022

In addition, data discovery is made easy through Sifflet’s information-rich data catalog with a powerful search engine and real-time health statuses. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Lambda Architecture 100

Lambda Architecture MongoDB MySQL Scala 100

Towards Data Science

DECEMBER 24, 2023

It takes python/java/scala/R/SQL and converts that code into a highly optimized set of transformations. Ok, hopefully not all of that was new information. 5— Use SQL Syntax Whether you’re using scala, java, python, SQL, or R, spark will always leverage the same transformations under the hood. Let’s dive in!

Scala 98

Scala SQL Java Python 98

Knowledge Hut

SEPTEMBER 24, 2024

Can use Selenium API with programming languages like Java, C#, Ruby, Python, Perl PHP, Javascript, R, etc. Ranorex Webtestit: A lightweight IDE optimized for building UI web tests with Selenium or Protractor It generates native Selenium and Protractor code in Java and Typescript respectively. Supports cross-browser testing.

Java 98

Java Programming Language Pipeline-centric Database-centric 98

Data Engineering Podcast

OCTOBER 2, 2022

In this episode co-founder Martin Sahlen explains the impact that easy access to lineage information can have on the work of data engineers and analysts, and how he and his team have designed their platform to offer that information to engineers and stakeholders in the places that they interact with data.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

SEPTEMBER 4, 2022

Sust Global was created to provide curated data sets for organizations to be able to analyze climate information in the context of their business needs. In addition, data discovery is made easy through Sifflet’s information-rich data catalog with a powerful search engine and real-time health statuses.

MongoDB 100

MongoDB MySQL Scala Machine Learning 100

Cloudera

APRIL 20, 2021

Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better. Yet, the information will always delay if they leverage an analytics system built for the past. What are the advantages of Streaming Analytics?

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

Snowflake

SEPTEMBER 7, 2023

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala.

Amazon Web Services 134

Amazon Web Services AWS Government Python 134

Rock the JVM

SEPTEMBER 3, 2023

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._ get ( id ).

Scala 52

Scala Database Project Coding 52

Confluent

JUNE 7, 2019

Our data science team uses KSQL to experiment with raw or lifted streams to ultimately deploy new machine learning models ( using custom user-defined functions ) without writing a single line of Java code. Use cases range from stateless transformation, such as ERC-20 transactions, to anomaly detection and classification.

Accessibility 93

Accessibility Accessible Kafka Scala 93

Knowledge Hut

JANUARY 18, 2024

Data scientists are thought leaders who apply their expertise in statistics and machine learning to extract useful information from data. It is a declarative language for interacting with databases and allows you to create queries to extract information from your data sets. There are many languages required for data science.

Programming Language 75

Programming Language Data Science Programming Java 75

Data Engineering Podcast

JULY 3, 2022

Summary The perennial challenge of data engineers is ensuring that information is integrated reliably. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Integration 100

Data Integration MongoDB MySQL Scala 100

Data Engineering Podcast

JULY 10, 2022

While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows. In order to make this a tractable problem it is essential that engineers embrace automation at every opportunity.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

JULY 31, 2022

In addition, data discovery is made easy through Sifflet’s information-rich data catalog with a powerful search engine and real-time health statuses. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Analysis 100

Data Analysis MongoDB Algorithm MySQL 100

Data Engineering Podcast

SEPTEMBER 18, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. What are the sources of information that are needed to be able to answer these questions? Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Hospitality 100

Hospitality Food MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 25, 2022

With the increasing expecation for information to be instantly accessible, it drives the need for reliable change data capture. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Food 100

Food MongoDB MySQL Scala 100

Data Engineering Podcast

NOVEMBER 13, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. When are the most informative mistakes that you have made? When are the most informative mistakes that you have made?

MongoDB 100

MongoDB MySQL Google Cloud Scala 100