Netflix Tech

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Management 85

Management Kafka Transportation Cloud 85

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

Cloudera

DECEMBER 9, 2022

Enabling self-service for developers. They value NiFi’s visual, no-code, drag-and-drop UI, the 450+ out-of-the-box processors and connectors, as well as the ability to interactively explore data by starting individual processors in the flow and immediately seeing the impact as data streams through the flow. .

Designing 98

Designing Coding Google Cloud AWS 98

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 107

Machine Learning Python Kafka Java 107

Rockset

JANUARY 26, 2023

The goal of this blog post is to provide best practices on how to use terraform to configure Rockset to ingest the data into two collections, and how to setup a view and query lambdas that are used in an application, plus to show the workflow of later updating the query lambdas.

AWS 52

AWS SQL Datasets Kafka 52

Cloudera

SEPTEMBER 11, 2018

This enables data to be acquired, pre-processed, filtered, aggregated and dynamically routed, with only the meaningful information sent to the centralized hub so it can be stored, analyzed, processed, modeled, acted upon, and shared with different applications and services. The IoT integration hub. The Enterprise Data Hub.

Data Process 40

Data Process Process Building Machine Learning 40

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js

Kafka 21

Kafka BI SQL Datasets 21

Cloudera

FEBRUARY 28, 2024

Businesses often need to aggregate topics because it is essential for organizing, simplifying, and optimizing the processing of streaming data. It enables efficient analysis, facilitates modular development, and enhances the overall effectiveness of streaming applications. If not, you can check out this related blog post.

Kafka 69

Kafka Management Big Data Architecture 69

Snowflake

APRIL 19, 2023

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake. What is Snowpipe Streaming?

Data Ingestion 57

Data Ingestion Kafka Java Data Pipeline 57

Cloudera

AUGUST 10, 2022

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. Cloudera Stream Processing Community Edition.

Process 88

Process Kafka PostgreSQL MySQL 88

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. Expecting a product to be GA’d.

Database-centric 77

Database-centric Kafka Pipeline-centric Database 77

Cloudera

MARCH 15, 2023

In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load. Introduction Many modern application designs are event-driven.

PostgreSQL 89

PostgreSQL Kafka Database Data 89

Confluent

MAY 21, 2019

This leads us to event streaming microservices patterns. Not only that, but it could also be received by a risk evaluation service, by Kafka Connect that will write the update to the profile database and perhaps by a real-time event streaming application that updates a dashboard showing the number of customers in each sales region.

Kafka 110

Kafka Insurance Architecture Database 110

Confluent

APRIL 30, 2019

With the release of Apache Kafka ® 2.1.0, Kafka Streams introduced the processor topology optimization framework at the Kafka Streams DSL layer. This framework opens the door for various optimization techniques from the existing data stream management system (DSMS) and data stream processing literature.

Kafka 90

Kafka Coding Process Bytes 90

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. For a system like Elasticsearch , engineers need to have in-depth knowledge of the underlying architecture in order to efficiently ingest streaming data.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Rockset

MAY 3, 2022

This blog post discusses data duplication, how it plagues teams adopting real-time analytics , and the deduplication solutions Rockset provides to resolve the duplication issue. Deduplication History Kafka was one of the first systems to create a solution for duplication. Kafka guarantees that a message is delivered once and only once.

Kafka 52

Kafka Data Warehouse Database Data 52

Confluent

FEBRUARY 13, 2019

Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach. The paradigm shift to the event streaming architecture often leads to a lightbulb moment of inspiration and clarity. Event-driven, streaming architecture.

Architecture 90

Architecture Programming Kafka Database-centric 90

Confluent

MAY 29, 2019

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices. Introduction. KSQL primer.

Kafka 95

Kafka Management Bytes SQL 95

Rockset

MAY 8, 2023

In this blog, we capture engineering stories from 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications. In the next sections, we’ll summarize 5 engineering blogs on vector search and highlight key implementation considerations.

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

Netflix Tech

DECEMBER 17, 2019

Supports any kind of output , so that the output can be a stream, datastore, or even an API. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform. In our Delta blog post , we also described use cases beyond data synchronization, such as event processing.

MySQL 84

MySQL PostgreSQL Database Transportation 84

Netflix Tech

DECEMBER 17, 2019

Supports any kind of output , so that the output can be a stream, datastore, or even an API. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform. In our Delta blog post , we also described use cases beyond data synchronization, such as event processing.

MySQL 79

MySQL PostgreSQL Database Transportation 79

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.

Kafka 21

Kafka Management Cloud AWS 21

phData: Data Engineering

JANUARY 3, 2022

If you have hundreds of thousands of users using a variety of products, you need more tooling and processes at your disposal that enables a thoughtful and scalable approach. Developers are free to do whatever they want in their local repository and once they’re ready, they can introduce changes to the remote repository.

IT 52

IT AWS Software Engineer Software Engineering 52

Rockset

AUGUST 25, 2020

In this blog post, we’ll discuss several other targeted strategies that we can use to speed up those problematic queries when the right circumstances are present. These indexes then enable your queries to perform at faster speeds by minimizing the number of disk accesses required with each request.

MongoDB 40

MongoDB NoSQL SQL Database 40

Cloudera

JUNE 16, 2022

real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Faster data ingestion: streaming ingestion pipelines.

Kafka 86

Kafka Manufacturing Data Lake SQL 86

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Collect Data The next step in a big data project is looking for data once you've established your goal. Once you have the data, it's time to start using it.

Big Data 52

Big Data Coding Project Hadoop 52