Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. Understand the significance of data engineering in facilitating data-driven decision-making processes. What is Data Engineering?

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Data Engineering Data Engineer Engineering Data Warehouse 52

Rockset

JANUARY 3, 2023

This blog compiles real-time data predictions from industry leaders so you know what’s coming in 2023. Confluent’s State of Data in Motion Report found that 97% of companies around the world are using streaming data, making it central to the data landscape.

Data Warehouse 52

Data Warehouse Education Database Data 52

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications.

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Scott Logic

JUNE 6, 2023

Predictions around this are very hard to make, especially taking into account how fast this field is changing, so it will be interesting to revisit this blog in a couple of years to see how things are. Ultimately, it is an error-prone process where experienced heads are often required to help navigate and make good decisions.

Architecture 69

Architecture Coding Designing Systems 69

Zalando Engineering

NOVEMBER 29, 2017

Second in our series about the use of Apache Kafka’s Streams API by Zalando This is the second in a series about the use of Apache Kafka’s Streams API by Zalando, Europe’s leading online fashion platform. See Ranking Websites in Real-time with Apache Kafka’s Streams API for the first post in the series.

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Kafka AWS Amazon Web Services Utilities 40

Jesse Anderson

OCTOBER 5, 2023

A few examples: Everything should use Kafka – No, it shouldn’t. Kafka isn’t for everyone and everything. Everything should be streaming – No, it shouldn’t. There should be a clear and compelling need for streaming to deal with its various downsides. Kafka is easy – It’s not that simple.

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Kafka Finance Cloud Designing 195

Monte Carlo

JULY 7, 2022

You can read more about Convoy’s approach from our blog with their Head of Product, Data Platform, Chad Sanderson, “ The modern data warehouse is broken.” On the process side, data needed to become a first class citizen during upstream service updates, including proactive downstream communication. Image courtesy of Andrew Jones.

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

LinkedIn Engineering

JANUARY 16, 2024

In a previous blog post, we talked about how we built our anti-abuse platform using CASAL. In this blog post, we'll go deeper into how we manage account restrictions. We'll talk about the changes we've made over the years to keep up with LinkedIn's growth and scale our infrastructure quickly.

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Kafka Relational Database Java Architecture 84

AltexSoft

OCTOBER 21, 2022

And COVID-19 made ‘zoom’ a synonym for a videoconference. Kafka can continue the list of brand names that became generic terms for the entire type of technology. Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies.

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Kafka Hadoop ETL Tools Big Data 93

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.

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Kafka Coding Process Bytes 90

Cloudera

JULY 26, 2021

The irreversible shift towards digital-native / digital-first consumption , working and learning paradigms has introduced new remote or hybrid working. The proliferation of real-time processing by deploying event-driven architectures (e.g., hybrid or public, multi-cloud) and advanced analytical frameworks (e.g.,

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Generalist Telecommunication Healthcare Data 114

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.

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Kafka Management Bytes SQL 95

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Four pillars of event streaming.

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Kafka Pipeline-centric Architecture Database-centric 93

AltexSoft

NOVEMBER 7, 2022

The tool represents processes in the form of directed acyclic graphs which visualize casual relationships between tasks and the order of their execution. Airflow is not a data processing tool by itself but rather an instrument to manage multiple components of data processing. What is Apache Airflow? Airflow webserver.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Rock the JVM

AUGUST 9, 2022

In this post, we’re going to go over an introduction to the main components of ZIO Streams, how to work with them when things go right, and what to do when things go wrong. As a toy example, we’re going to take a brief foray into asynchronous operations, by connecting two streams to the same concurrent data structure.

Scala 40

Scala Bytes Kafka Programming 40

Rockset

FEBRUARY 6, 2019

In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics. When we started Rockset , we set out to implement a real-time analytics engine that made the developer's job as simple as possible. We chose ALT for Rockset.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

ProjectPro

NOVEMBER 15, 2021

This blog will walk through the most popular and fascinating open source big data projects. It derives its name “Beam” which is from “Batch” + “Stream” from its functionalities for both batch and streaming the parallel processing pipelines for data.

Big Data 52

Big Data Project Metadata Programming Language 52

phData: Data Engineering

JANUARY 3, 2022

We’ll work through the different facets of taking your data and extracting business value with the same rigor and process companies apply to product development. 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.

IT 52

IT AWS Software Engineer Software Engineering 52

Rockset

DECEMBER 19, 2023

This blog post distills his decade of experience into a comprehensive read, offering a detailed overview of the complexities and innovations at every stage of building a real-world recommender system. The process of ranking the candidates is further developed into three distinct steps: Feature Extraction, Scoring, and Ranking.

Systems 52

Systems Machine Learning Deep Learning Media 52

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

Zalando Engineering

JANUARY 18, 2017

In many computer programs, the whole logic (or a vast part of it) is essentially the step-by-step processing of data. Of course, this includes the situation when we iterate over the data and just execute the processing logic on every piece of it. Akka Streams have grown from the Reactive Streams initiative.

Scala 52

Scala AWS Coding Data Process 52

Confluent

JULY 31, 2019

Delivers the new Confluent Operator for cloud-native automation on Kubernetes, a redesigned Confluent Control Center user interface to simplify how you manage event streams, and a preview of Role-Based Access Control for enterprise-grade security. Automate Kafka operations for production environments.

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Kafka Cloud Accessible Accessibility 19

Confluent

SEPTEMBER 13, 2019

Static Membership is an enhancement to the current rebalance protocol that aims to reduce the downtime caused by excessive and unnecessary rebalances for general Apache Kafka ® client implementations. This applies to Kafka consumers, Kafka Connect, and Kafka Streams. Take a Kafka consumer, for example.

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Kafka Cloud Metadata Process 21

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Also, we’ll introduce you to the popular Big Data analytics tools and existing use cases. Key Big Data characteristics.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Confluent

AUGUST 1, 2019

The Kafka Streams API boasts a number of capabilities that make it well suited for maintaining the global state of a distributed system. At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system.

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Kafka Systems Building Metadata 20

Confluent

AUGUST 19, 2019

This post specifically outlines the process by which we verify partner integrations, and is a means of letting the world know about our partner’s contributions to our connector ecosystem. It points to best practices for anyone writing Kafka Connect connectors. Over the years, we’ve since seen wide adoption of Kafka Connect.

Programming 15

Programming Kafka Database-centric MongoDB 15

ProjectPro

NOVEMBER 7, 2016

This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. Understanding the Hadoop architecture now gets easier!

Hadoop 40

Hadoop Architecture IT Big Data 40

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Confluent

OCTOBER 24, 2019

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. Also, there are several functions wrapping the Java clients for Kafka.

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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. Go out and speak with the individuals whose processes you aim to transform with data before you even consider analyzing the data.

Big Data 52

Big Data Coding Project Hadoop 52

Data Engineering Weekly

JULY 9, 2023

link] Capital One: Democratizing machine learning It is an exciting blog post + video interview from Capital One focusing on the people and technology aspect of democratizing the machine learning practice across the org. The blog narrates the optimization and cluster architectural changes by ByteDance on top of ClickHouse.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Netflix Tech

NOVEMBER 3, 2023

Democratizing Stream Processing @ Netflix By Guil Pires , Mark Cho , Mingliang Liu , Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. The Processors themselves are implemented as Flink jobs that use the DataStream API.

SQL 106

SQL Pipeline-centric Kafka Data 106

Scott Logic

NOVEMBER 14, 2023

We’ll provide examples of each and discuss the tradeoffs that must be made. Rather, I am talking here about asynchronously distributing data to other services that maintain their own copy of the data in order to do their work or where we want to emit and distribute events for other services to process.

Technology 52

Technology Kafka AWS Data 52