ProjectPro

JUNE 6, 2025

Looking for the ultimate guide on mastering Apache Kafka in 2024? The ultimate hands-on learning guide with secrets on how you can learn Kafka by doing. Discover the key resources to help you master the art of real-time data streaming and building robust data pipelines with Apache Kafka. How Difficult Is It To Learn Kafka?

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Kafka Java Big Data Data Pipeline 40

Confluent

APRIL 23, 2019

When it was first created, Apache Kafka ® had a client API for just Scala and Java. Since then, the Kafka client API has been developed for many other programming languages which enables you to pick the language you want. At Confluent, we have an engineering team dedicated to the development of these Kafka clients.

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Programming Language Kafka Programming Scala 102

Knowledge Hut

MAY 3, 2024

Spark Streaming Vs Kafka Stream Now that we have understood high level what these tools mean, it’s obvious to have curiosity around differences between both the tools. Spark Streaming Kafka Streams 1 Data received from live input data streams is Divided into Micro-batched for processing. 6 Spark streaming is a standalone framework.

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Kafka Scala Java Amazon Web Services 98

Confluent

JULY 16, 2019

How cool would it be to build your own burglar alarm system that can alert you before the actual event takes place simply by using a few network-connected cameras and analyzing the camera images with Apache Kafka ® , Kafka Streams, and TensorFlow? Uploading your images into Kafka. Receiving burglar alerts from Kafka.

Kafka 101

Kafka Machine Learning Java Scala 101

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist.

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Kafka Management Cloud AWS 21

ProjectPro

JUNE 6, 2025

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? What is Kafka Streaming?

Architecture 45

Architecture Kafka Java Scala 45

Confluent

DECEMBER 16, 2019

On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 2.4.0. This release includes a number of key new features and improvements […].

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Kafka Scala IT 21

ProjectPro

JUNE 6, 2025

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.

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Scala Programming Language Java Hadoop 40

ProjectPro

JUNE 6, 2025

Databricks also provides extensive delta lake API documentation in Python, Scala , and SQL to get started on delta lake quickly. The bronze layer has raw data from Kafka, and the raw data is filtered to remove Personal Identifiable Information(PII) columns and loaded into the silver layer. How to access Delta lake on Azure Databricks?

Data Lake 63

Data Lake Data Warehouse Metadata Unstructured Data 63

Knowledge Hut

MAY 20, 2024

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

Scala Technology Kafka Hadoop 52

ProjectPro

JUNE 6, 2025

Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop Prerequisites to Become a Big Data Developer Certain prerequisites to becoming a successful big data developer include a strong foundation in computer science and programming, encompassing languages such as Java, Python , or Scala.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Data ingestion systems such as Kafka , for example, offer a seamless and quick data ingestion process while also allowing data engineers to locate appropriate data sources, analyze them, and ingest data for further processing. Kafka is an open-source platform that helps data engineers create data pipelines using real-time streaming data.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

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Kafka Hadoop ETL Tools Java 93

Cloudera

OCTOBER 12, 2020

This typically involved a lot of coding with Java, Scala or similar technologies. The DataFlow platform has established a leading position in the data streaming market by unlocking the combined value and synergies of Apache NiFi, Apache Kafka and Apache Flink.

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Cloud Process Scala Kafka 132

Confluent

NOVEMBER 29, 2022

Learn how Zalando, Europe’s largest online fashion retailer, uses Apache Kafka and the Kafka Streams API with Scala on AWS for real-time fashion insights.

Scala 98

Scala Kafka Retail AWS 98

ProjectPro

JUNE 6, 2025

Use Kafka for real-time data ingestion, preprocess with Apache Spark, and store data in Snowflake. This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API and stored in a column store called HBase.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

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

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 Data Ingestion 69

Cloudera

MARCH 29, 2021

It offers a slick user interface for writing SQL queries to run against real-time data streams in Apache Kafka or Apache Flink. They no longer have to depend on any skilled Java or Scala developers to write special programs to gain access to such data streams. . SQL Stream Builder continuously runs SQL via Flink.

SQL 116

SQL Scala Manufacturing Kafka 116

ProjectPro

JUNE 6, 2025

Azure HDInsight Azure HDInsight is a cluster management solution that makes it easier to deploy big data frameworks in your Azure environment, including Apache Spark , Apache Hive , LLAP, Apache Kafka , Apache Hadoop, and others, at significant volume and velocity.

Data Lake 40

Data Lake Big Data Architecture Cloud 40

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?

Scala 52

Scala Big Data Data Engineering Data Engineer 52

ProjectPro

JUNE 6, 2025

PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. Multi-Language Support PySpark platform is compatible with various programming languages, including Scala , Java, Python, and R. Because of its interoperability, it is the best framework for processing large datasets.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

The distributed execution engine in the Spark core provides APIs in Java, Python, and Scala for constructing distributed ETL applications. For input streams receiving data through networks such as Kafka , Flume, and others, the default persistence level setting is configured to achieve data replication on two nodes to achieve fault tolerance.

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Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

There are many real-time data processing frameworks available, but the popular choices include: Apache Kafka: Kafka is a distributed streaming platform which can handle large-scale data streams in real-time. Besides Python, other languages a data engineer must explore include R, Scala , C++, Java, and Rust.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

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?

Scala 52

Scala Java Programming Language Programming 52

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. Apache Flink.

Process 91

Process Kafka Scala SQL 91

Data Engineering Podcast

MAY 27, 2018

Links Alooma Convert Media Data Integration ESB (Enterprise Service Bus) Tibco Mulesoft ETL (Extract, Transform, Load) Informatica Microsoft SSIS OLAP Cube S3 Azure Cloud Storage Snowflake DB Redshift BigQuery Salesforce Hubspot Zendesk Spark The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay (..)

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Data Pipeline MongoDB Scala Kafka 100

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?

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Process Scala Kafka Google Cloud 100

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

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 Scala 147

Data Engineering Podcast

DECEMBER 9, 2018

How does it compare to some of the other streaming frameworks such as Flink, Kafka, or Storm? How does it compare to some of the other streaming frameworks such as Flink, Kafka, or Storm? What are some of the problems that Spark is uniquely suited to address? Who uses Spark? What are the tools offered to Spark users? Who uses Spark?

Scala 100

Scala Kafka MySQL Hadoop 100

ProjectPro

JUNE 6, 2025

However, frameworks like Apache Spark, Kafka, Hadoop, Hive, Cassandra, and Flink all run on the JVM (Java Virtual Machine) and are very important in the field of Big Data. Apache Mahout: Apache Mahout is a distributed linear algebra framework written in Java and Scala. Spark provides built-in libraries in Java, Python, and Scala.

Java 53

Java Data Science Python Programming Language 53

Christophe Blefari

JANUARY 14, 2023

The history repeat, we've seen it with Scala, Go or even Julia at some scale. Analysis of Confluent buying Immerok — Jesse Anderson analyses last week news of Confluent (Kafka) buying Immerok (Flink) and what it implies in the real-time low-level technologies competition between Kafka / Flink / Spark.

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Kafka Python Data Scala 130

ProjectPro

JUNE 6, 2025

It is built to simplify developing and managing Flink applications and supports popular programming languages like Java, Scala, Python, and SQL. Amazon Kinesis vs. Kafka Amazon Kinesis and Kafka are distributed streaming platforms that can handle and process large volumes of data stored in real-time.

Kafka 40

Kafka AWS Amazon Web Services Data Ingestion 40

Data Engineering Podcast

JUNE 17, 2018

Kafka Scala Citus React MobX Redshift Heap SQL BigQuery Webhooks Drip Data Virtualization DNS PII SOC2 The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast Summary Web and mobile analytics are an important part of any business, and difficult to get right.

Scala 100

Scala Kafka SQL Architecture 100

Cloudera

MARCH 2, 2021

This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. But as data streaming technologies like Apache Kafka and Apache Flink have evolved, only until recently have SQL interfaces become deeply integrated. A rare breed.

SQL 112

SQL Java Data Lake Scala 112

ProjectPro

JUNE 6, 2025

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. It is an improvement over Hadoop’s two-stage MapReduce paradigm.

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Hadoop Project Big Data Scala 40