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Analytics Vidhya
APRIL 28, 2023
Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011. It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time.
201 
Confluent
DECEMBER 8, 2020
If you’re getting started with Apache Kafka® and event streaming applications, you’ll be pleased to see the variety of languages available to start interacting with the event streaming platform. It […].
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Confluent
MARCH 10, 2021
Apache Kafka ships with Kafka Streams, a powerful yet lightweight client library for Java and Scala to implement highly scalable and elastic applications and microservices that process and analyze data […].
129 Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
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?
52 
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.
Confluent
APRIL 16, 2020
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 2.5.0. The community has created another exciting release. We are making progress […].
144 
Knowledge Hut
MAY 2, 2024
As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.
52 
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.
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. Apache Flink.
85 
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. Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams.
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.
40 
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.
52 
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.
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.
Knowledge Hut
SEPTEMBER 6, 2023
Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.
52 
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.
98 
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.
100 
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.
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?
100 
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. Machine learning engineer: A machine learning engineer is an engineer who uses programming languages like Python, Java, Scala, etc.
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.
130 
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?
100 
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 (..)
100 
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. Spark is a fast and general-purpose cluster computing system.
98 
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.
91 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.
100 
Snowflake
AUGUST 16, 2023
Snowpipe Streaming enables low-latency streaming data pipelines to support writing data rows directly into Snowflake from business applications, IoT devices or event sources such as Apache Kafka, including topics coming from managed services such as Confluent Cloud or Amazon MSK. Learn more here. Learn more here.
52 
Knowledge Hut
NOVEMBER 17, 2023
Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java. Therefore, it is essential to have a thorough understanding of programming languages like Python, Java, or Scala.
Knowledge Hut
APRIL 25, 2023
Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.
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.);
Ascend.io
SEPTEMBER 14, 2023
Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential.
Knowledge Hut
JUNE 26, 2023
Stock and Twitter Data Extraction Using Python, Kafka, and Spark Project Overview: The rising and falling of GameStop's stock price and the proliferation of cryptocurrency exchanges have made stocks a topic of widespread attention. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.
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.
80 
ProjectPro
JANUARY 24, 2023
Glue automatically creates Scala or Python code for your ETL tasks, which you can modify using tools you are already comfortable with. Create a glue job to extract the JSON data from S3 and apply transformations either by using in-built glue transformations or by writing custom PySpark or Scala code.
52 
Big Data Tools
MAY 19, 2022
The team has also added the ability to run Scala for the SparkSQL engine. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market. Kafka: Shareable State Stores – This improvement in Kafka looks very interesting. it supports two more SQL engines, Flink and Trino/Presto.
Big Data Tools
MAY 19, 2022
The team has also added the ability to run Scala for the SparkSQL engine. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market. Kafka: Shareable State Stores – This improvement in Kafka looks very interesting. it supports two more SQL engines, Flink and Trino/Presto.
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. Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. Articles This section is about inspiration.
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. Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. Articles This section is about inspiration.
Knowledge Hut
SEPTEMBER 26, 2023
We should also be familiar with programming languages like Python, SQL, and Scala as well as big data technologies like HDFS , Spark, and Hive. Programming languages like Python, Java, or Scala require a solid understanding of data engineers. Learn about well-known ETL tools such as Xplenty, Stitch, Alooma, etc.
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?
52 
Monte Carlo
JULY 27, 2023
The skills, languages and tools of a data quality engineer Data quality engineers need to be highly skilled in multiple programming languages such as SQL (mentioned in 61% of postings), Python (56%), and Scala (13%). About 61% request you also have a formal computer science degree.
52 
Big Data Tools
NOVEMBER 8, 2021
Also, this release is compatible with Scala 2.13 – the latest stable language release before the 3.x Kafka: Allow configuring num.network.threads per listener – Sometimes you find yourself in a situation with Kafka brokers where some listeners are less active than others (and are in some sense more equal than others).
Big Data Tools
NOVEMBER 8, 2021
Also, this release is compatible with Scala 2.13 – the latest stable language release before the 3.x Kafka: Allow configuring num.network.threads per listener – Sometimes you find yourself in a situation with Kafka brokers where some listeners are less active than others (and are in some sense more equal than others).
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