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

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Metadata Data Warehouse BI MySQL 147

Jesse Anderson

DECEMBER 12, 2022

Apache Kafka came in 2011 and gave the industry a much better way to move real-time data. Apache Kafka has its architectural limitations, and Apache Pulsar was released in 2016. At various times it’s been Java, Scala, and Python. Apache Flink came in 2011 and gave us our first real streaming engine.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

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.

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Process Kafka Scala SQL 96

Confluent

JUNE 7, 2019

How we use Apache Kafka and the Confluent Platform. Apache Kafka ® is the central data hub of our company. At TokenAnalyst, we’re using Kafka for ingestion of blockchain data—which is directly pushed from our cluster of Bitcoin and Ethereum nodes—to different streams of transformation and loading processes.

Accessible 93

Accessible Accessibility Kafka Scala 93

Data Engineering Podcast

NOVEMBER 18, 2018

How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? Can you start by describing what Flink is and how the project got started? What are some of the primary ways that Flink is used? How is Flink architected?

Process 100

Process Google Cloud Scala Kafka 100

Rock the JVM

JANUARY 21, 2023

Introduction Apache Kafka is a well-known event streaming platform used in many organizations worldwide. The focus of this article is to provide a better understanding of how Kafka works under the hood to better design and tune your client applications. Environment Setup First, we want to have a Kafka Cluster up and running.

Kafka 69

Kafka Java Scala Coding 69

Advancing Analytics: Data Engineering

APRIL 23, 2020

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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Scala Big Data Data Engineering Data Engineer 52

Rock the JVM

MAY 22, 2023

This article is all about choosing the right Scala course for your journey. How should I get started with Scala? Do you have any tips to learn Scala quickly? How to Learn Scala as a Beginner Scala is not necessarily aimed at first-time programmers. Which course should I take?

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Scala Java Programming Language Programming 52

Cloudera

APRIL 20, 2021

The developers must understand lower-level languages like Java and Scala and be familiar with the streaming APIs. Streamings Messaging , powered by Apache Kafka, buffers and scales massive volumes of data streams for streaming analytics.

Kafka 100

Kafka Hospitality Retail Data Ingestion 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.

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Hadoop Scala Healthcare Big Data 98

Data Engineering Podcast

SEPTEMBER 11, 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. 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.

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Data Pipeline Building MongoDB MySQL 130

Data Engineering Podcast

AUGUST 21, 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. 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.

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Lambda Architecture MongoDB MySQL Scala 100

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.

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Java Data Science Python Programming Language 52

Data Engineering Podcast

AUGUST 28, 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. 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.

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Building MongoDB MySQL Scala 100

Data Engineering Podcast

SEPTEMBER 25, 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. 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.

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Food MongoDB MySQL Scala 100

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? Table of Contents Kafka vs. RabbitMQ - An Overview What is RabbitMQ? What is Kafka?

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Kafka Big Data Java Architecture 52

Confluent

FEBRUARY 13, 2019

Consumers in this context are anything that requests data; they could be stream processors, Java or.NET applications or KSQL server nodes. There is no need for other frameworks to apply their “magic” on top of Apache Kafka ® but instead stay in the pure event-first paradigm. With Kafka you get event sourcing for free.

Architecture 92

Architecture Programming Kafka Database-centric 92

Data Engineering Podcast

AUGUST 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. 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.

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Machine Learning Database MySQL PostgreSQL 100

Zalando Engineering

DECEMBER 4, 2017

A closer look at the ingredients needed for ultimate stability This is part of a series of posts on Kafka. See Ranking Websites in Real-time with Apache Kafka’s Streams API for the first post in the series. Remora is a small application to track the monitoring of Kafka. Some use cloud infrastructure such as AWS Kinesis or SQS.

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Kafka Scala Java AWS 40

Zalando Engineering

MAY 7, 2018

Real-time joins in event-driven microservices As discussed in my previous blog post , Kafka is one of the key components of our event-driven microservice architecture in Zalando’s Smart Product Platform. This is where Kafka API comes in handy! We use it for sequencing events and building an aggregated view of data hierarchies.

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Kafka Scala Java Media 40

AltexSoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. They have to know Java to go deep in Hadoop coding and effectively use features available via Java APIs. Just for reference, Spark Streaming and Kafka combo is used by. Hadoop vs Spark differences summarized.

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Big Data Tools Hadoop Big Data Database-centric 98

Cloudera

JUNE 28, 2022

We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale. If the fraud score is above a certain threshold, NiFi immediately routes the transaction to a Kafka topic that is subscribed by notification systems that will trigger the appropriate actions.

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Process Kafka SQL Machine Learning 91

Knowledge Hut

JANUARY 18, 2024

Spark is most notably easy to use, and it’s easy to write applications in Java, Scala, Python, and R. This framework works in conjunction with other frameworks, using Apache Kafka for messaging and Hadoop YARN for fault tolerance, security, and management of resources.

Data Process 52

Data Process Process Hadoop Scala 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

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Data Architect Certification Generalist Big Data 87

ProjectPro

FEBRUARY 21, 2023

Python, Java, and Scala knowledge are essential for Apache Spark developers. Various high-level programming languages, including Python, Java , R, and Scala, can be used with Spark, so you must be proficient with at least one or two of them. Creating Spark/Scala jobs to aggregate and transform data.

Scala 52

Scala Programming Language Hadoop Java 52

Knowledge Hut

DECEMBER 27, 2023

With the help of python, Java, and Ruby, along with AI and ML, you can create any application. Oracle Java SE Oracle offers several certification courses at professional, master, and expert levels. This will require a professional-level certification, typically requiring an OCP Java certification.

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Medical Programming Language Amazon Web Services Entertainment 98

ProjectPro

DECEMBER 28, 2021

Apache Spark Streaming Use Cases Spark Streaming Architecture: Discretized Streams Spark Streaming Example in Java Spark Streaming vs. Structured Streaming Spark Streaming Structured Streaming What is Kafka Streaming? Kafka Stream vs. Spark Streaming What is Spark streaming? Table of Contents What is Spark streaming?

Architecture 52

Architecture Kafka Java Scala 52

Confluent

FEBRUARY 22, 2019

We have delivered an event streaming platform which gives strong guarantees on data quality, using Apache Kafka ® and Protocol Buffers. Because it builds on top of Apache Kafka we decided to call it Franz. We then proceeded to conduct an evaluation of these formats to determine what would work best for transmission of data over Kafka.

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Kafka Programming Language Metadata Data 81

Knowledge Hut

NOVEMBER 28, 2023

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

DECEMBER 26, 2023

Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

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Data Science BI Business Intelligence Machine Learning 97

Knowledge Hut

APRIL 25, 2024

Spark provides an interactive shell that can be used for ad-hoc data analysis, as well as APIs for programming in Java, Python, and Scala. In general, Hadoop and Spark are good choices for batch processing, while Kafka and Storm are better suited for streaming applications.

Big Data 98

Big Data Technology Hadoop NoSQL 98

AltexSoft

OCTOBER 30, 2021

With that in mind, it’s not uncommon for a company to grow their own data scientists from adjacent expertises: analysts, database experts, people with coding experience in Java or C/C++ are often trained in algorithms and models to become data scientists. Let’s give a rundown of the necessary skills and what they entail. Statistics and maths.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. This module can ingest live data streams from multiple sources, including Apache Kafka , Apache Flume , Amazon Kinesis , or Twitter, splitting them into discrete micro-batches.

Big Data 52

Big Data Data Process Process Hadoop 52

Big Data Tools

AUGUST 3, 2021

Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. Notably, they’ve added experimental support for Java 11 (finally) and virtual tables. Here’s what’s happening in data engineering right now. Cassandra 4.0

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. Notably, they’ve added experimental support for Java 11 (finally) and virtual tables. Here’s what’s happening in data engineering right now. Cassandra 4.0

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Snowflake

MARCH 30, 2023

Use Snowflake’s native Kafka Connector to configure Kafka topics into Snowflake tables. B) Transformations – Feature engineering into business vault Transformations can be supported in SQL, Python, Java, Scala—choose your poison!

Engineering 88

Engineering Raw Data Data Science Machine Learning 88

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Kafka: Kafka is a top engineering tool highly valued by big data experts. Understanding how to construct data pipelines utilizing tools like Apache NiFi, Apache Kafka, and Apache Airflow is crucial.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52