Rockset

AUGUST 16, 2022

In either case, both Amazon Kinesis and Apache Kafka can help but which one is the right fit for you and your goals. Real quick disclaimer, I currently work at Rockset but previously worked at Confluent, a company known for building Kafka based platforms and cloud services. Let’s find out!

Kafka 52

Kafka AWS Cloud Java 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.

Programming Language 101

Programming Language Kafka Programming Scala 101

Confluent

JUNE 27, 2019

Confluent’s clients for Apache Kafka ® recently passed a major milestone—the release of version 1.0. Magnus Edenhill first started developing librdkafka about seven years ago, later joining Confluent in the very early days to help foster the community of Kafka users outside the Java ecosystem. Leading up to the 1.0

Kafka 106

Kafka Designing Java Coding 106

Rockset

DECEMBER 14, 2022

Rockset’s native connector for Amazon Managed Streaming for Apache Kafka (MSK) makes it simpler and faster to ingest streaming data for real-time analytics. Amazon MSK is a fully managed AWS service that gives users the ability to build and run applications using Apache Kafka.

Kafka 52

Kafka MongoDB SQL AWS 52

Confluent

FEBRUARY 28, 2019

Only a little more than one month after the first release, we are happy to announce another milestone for our Kafka integration. Today, you can grab the Kafka Connect Neo4j Sink from Confluent Hub. . Neo4j extension – Kafka sink refresher. Testing the Kafka Connect Neo4j Sink. curl -X POST [link]. jar -f AVRO -e 100000.

Kafka 86

Kafka Java Programming Language Data Pipeline 86

Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This article describes how to instrument Kafka-based applications with distributed tracing capabilities in order to make dataflows between event-based components more visible.

Kafka 111

Kafka Transportation Metadata Consulting 111

Confluent

APRIL 10, 2019

Previously in 3 Ways to Prepare for Disaster Recovery in Multi-Datacenter Apache Kafka Deployments , we provided resources for multi-datacenter designs, centralized schema management, prevention of cyclic repetition of messages, and automatic consumer offset translation to automatically resume applications.

Kafka 84

Kafka Metadata Java Cloud 84

Data Engineering Podcast

OCTOBER 15, 2023

What was the process for adding full Java support in addition to SQL? What was the process for adding full Java support in addition to SQL? What are the problems that customers are trying to solve when they come to Decodable? When you launched your focus was on SQL transformations of streaming data.

Process 182

Process Building SQL BI 182

Rockset

SEPTEMBER 14, 2021

We’re introducing a new Rockset Integration for Apache Kafka that offers native support for Confluent Cloud and Apache Kafka, making it simpler and faster to ingest streaming data for real-time analytics. With the Kafka Integration, users no longer need to build, deploy or operate any infrastructure component on the Kafka side.

Kafka 52

Kafka SQL MongoDB Computer Science 52

Confluent

AUGUST 3, 2023

Java and non-Java producers use different partitioners by default and that can lead to mismatches and data inconsistencies when developing streaming applications. Learn how to address this in Apache Kafka.

Java 52

Java Kafka Data 52

Confluent

MAY 2, 2019

When managing Apache Kafka ® clusters at scale, tasks that are simple on small clusters turn into significant burdens. Relatedly, KIP-226 enabled dynamic broker reconfiguration since Apache Kafka 1.1. See the documentation (or, if you please, the Apache Kafka wiki ) for a complete list of which parameters this applies to.

Kafka 87

Kafka Management Food Consulting 87

Confluent

MAY 2, 2019

When managing Apache Kafka ® clusters at scale, tasks that are simple on small clusters turn into significant burdens. Relatedly, KIP-226 enabled dynamic broker reconfiguration since Apache Kafka 1.1. See the documentation (or, if you please, the Apache Kafka wiki ) for a complete list of which parameters this applies to.

Kafka 57

Kafka Management Food Consulting 57

Confluent

APRIL 20, 2020

The goal of this post is to illustrate PUSH to web from Apache Kafka® with a hands-on example. Our business users are always wanting their data faster so they can […].

Kafka 92

Kafka Java Data 92

LinkedIn Engineering

OCTOBER 19, 2023

In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure. To transition from batch-oriented processing and respond to Kafka events within minutes or seconds, they built an in-house distributed event streaming framework, Apache Samza.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Zalando Engineering

JUNE 21, 2016

Java programming roles need to cover a lot of ground when it comes to knowledge and processes. We’ve put together a list of essential points that developers should be familiar with when applying for a Java development position. You’ll want to use functional idioms, but don’t overuse them: Java is not a functional language.

Java 40

Java NoSQL Programming Language Kafka 40

Lyft Engineering

NOVEMBER 29, 2023

Real-time Ingestion Events from our real-time analytics pipeline were configured to be sent into our internal Flink application, streamed to Kafka, and written into Druid. ioConfig: Kafka server info, topic names, etc. (ex. Reduced learning curve —our users are well versed in Python and SQL semantics compared to Java, etc.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

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

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

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 85

Process Kafka Scala SQL 85

Data Engineering Weekly

FEBRUARY 4, 2024

The solution centered around Notebook opens a Flink Session for the Kafka stream and continues the exploration. It opens some old memory; try to solve this problem first with Presto-Kafka connector and then using OLAP engines like Druid & Apache Pinot. It's an excellent read if you're a snowflake user.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

Christophe Blefari

OCTOBER 9, 2023

Confluent announced Kafka roadmap and Flink as a Cloud service — this is the result of Confluent acquisition of Immerok. Kestra is the new kid in the open-source orchestration space but disrupting the Python status quo because it's written in Java and requires you to writes pipelines in a declarative way, in YAML.

Python 130

Python Data Database Java 130

Netflix Tech

MARCH 10, 2023

For asynchronous processing, events are sent to Apache Kafka topics to be processed. Apache Kafka topic is configured as a message broker. Async processing has the benefit to control the flow of event processing with Kafka consumers count or with controlling thread pool size on each consumer.

Management 94

Management Kafka Metadata Media 94

Cloudera

FEBRUARY 22, 2023

In SSB, today we are supporting JavaScript (JS) and Java UDFs, which can be used as a function with your data. But let’s assume we have already set up such a table, based off of a Kafka topic that has the ADSB data streaming through it, and we have named it airplanes. With UDFs you can really enhance the capabilities of your queries.

SQL 81

SQL Raw Data Programming Language Kafka 81

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Python Kafka Java 106

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.

Kafka 40

Kafka Scala Java AWS 40

Confluent

JUNE 26, 2020

This version includes a first-class Java client, improved Apache Kafka® key […]. We’re excited to announce the release of ksqlDB 0.10.0, available now in the standalone distribution and on Confluent Cloud!

Java 89

Java Kafka Cloud Process 89

Zalando Engineering

NOVEMBER 29, 2017

See Ranking Websites in Real-time with Apache Kafka’s Streams API for the first post in the series. Running Kafka Streams applications in AWS At Zalando, Europe’s leading online fashion platform, we use Apache Kafka for a wide variety of use cases. Our team at Zalando was an early adopter of the Kafka Streams API.

Kafka 40

Kafka AWS Amazon Web Services Utilities 40

Monte Carlo

DECEMBER 4, 2023

Date-time parsing I'm working with a list of dates in Java stored as strings in the format 'dd-MM-yyyy'. Can you assist me in writing a Java method to parse these date strings? Provide guidance and best practices on specific ETL tools Say you’re new to Apache Kafka. I've heard about topics, producers, and consumers in Kafka.

PostgreSQL 52

PostgreSQL Data Lake ETL Tools MySQL 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.

Kafka 98

Kafka Scala Java Amazon Web Services 98

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.

Scala 52

Scala Hospitality Healthcare Retail 52

Christophe Blefari

JANUARY 20, 2024

The Rise of the Data Engineer The Downfall of the Data Engineer Functional Data Engineering — a modern paradigm for batch data processing There is a global consensus stating that you need to master a programming language (Python or Java based) and SQL in order to be self-sufficient. workflows (Airflow, Prefect, Dagster, etc.)

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

APRIL 24, 2024

Android Local Train Ticketing System Developing an Android Local Train Ticketing System with Java, Android Studio, and SQLite. Java, Android Studio, and SQLite are the tools used to create an app that helps commuters to book train tickets directly from their mobile devices. cvtColor(image, cv2.COLOR_BGR2GRAY) findContours(thresh, cv2.RETR_TREE,

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Team Data Science

NOVEMBER 4, 2020

Other nice-to-haves are Kafka, PowerBI and/or Tableau, Agile, and, the Java programming language. Most of the requirements centered around knowledge of Python, SQL, machine learning libraries such as scikit-learn, NLTK, and knowledge of cloud technologies such as AWS, Azure, and GCP.

Data Science 130

Data Science Machine Learning Programming Language Business Intelligence 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.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

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 Java Hadoop 52

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.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

OCTOBER 27, 2023

Android Local Train Ticketing System Developing an Android Local Train Ticketing System with Java, Android Studio, and SQLite. Java, Android Studio, and SQLite are the tools used to create an app that helps commuters to book train tickets directly from their mobile devices. cvtColor(image, cv2.COLOR_BGR2GRAY) findContours(thresh, cv2.RETR_TREE,

Software Engineer 98

Software Engineer Software Engineering Coding Project 98