Zalando Engineering

MAY 13, 2024

As a design system evolves alongside with the brand it represents, there are often multiple occasions when a need to introduce variations arises. The previous article on this blog gives a wider overview of the Zalando Design System. The previous article on this blog gives a wider overview of the Zalando Design System.

Designing 62

Designing Systems Architecture Coding 62

Knowledge Hut

FEBRUARY 1, 2024

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

Systems 98

Systems Entertainment Algorithm Datasets 98

Data Engineering Podcast

OCTOBER 15, 2023

Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams. With Materialize, you can! With Materialize, you can!

Process 182

Process Building SQL BI 182

Precisely

SEPTEMBER 25, 2023

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Knowledge Hut

JANUARY 3, 2024

An operating system that allows multiple programmes to run simultaneously on a single processor machine is known as a multiprogramming operating system. Imagine that I/O is a part of the process that is currently running (which, by definition, does not need the CPU to be accomplished). context switching).

Systems 98

Systems Utilities Programming Language Programming 98

LinkedIn Engineering

JANUARY 19, 2024

Figure 1: Talent pool report for recruiters - LinkedIn Talent Insights During mergers and acquisitions, the source company’s user licenses and data are transferred to the acquiring company. This multi-entity handover process involves huge amounts of data updating and cloning. A typical merger & acquisition scenario.

Recruitment 88

Recruitment Data Process Process Kafka 88

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. Apache Beam lets users define processing logic based on the Dataflow model.

Google Cloud 63

Google Cloud Process Cloud Lambda Architecture 63

Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. This generalisation makes their data models complex and cryptic and require domain expertise. Searching for data Imagine being a data engineer/analyst tasked with identifying the top-selling products within your company.

Systems 84

Systems Raw Data Metadata Data Cleanse 84

Knowledge Hut

MAY 17, 2024

In the early 1940s, Toyota automotive in Japan used a simple planning system to manage and control work and inventory at each stage optimally. It is related to lean and just-in-time JIT production, where it is used as a scheduling system to indicate what to produce, when, and how much. How does Kanban System work?

Systems 52

Systems Manufacturing Electronics Certification 52

Zalando Engineering

APRIL 22, 2024

We cannot process all requested communication as fast as possible. The business stakeholders have requested to ensure that we process the communication which supports critical business operations within the given service level objectives ( SLOs). We know if our system runs within its normal limits that we meet our SLOs.

Algorithm 80

Algorithm Systems Kafka Designing 80

KDnuggets

OCTOBER 13, 2022

In NLP we must find a way to represent our data (a series of texts) to our systems (e.g. As Yoav Goldberg asks, "How can we encode such categorical data in a way which is amenable for us by a statistical classifier?" a text classifier). Enter the word vector.

Process 159

Process Data Systems 159

Knowledge Hut

JANUARY 3, 2024

A system call is a function that a user program uses to ask the operating system for a particular service. User programmers can communicate with the operating system to request its services using the interface that is created by a system call. System calls serve as the interface between an operating system and a process.

Systems 52

Systems Programming Accessible Accessibility 52

Precisely

MARCH 7, 2024

Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. By harnessing the power of machine learning and natural language processing, sophisticated systems can analyze and prioritize claims with unprecedented efficiency and timeliness.

Insurance 72

Insurance Process Medical Data Governance 72

Towards Data Science

FEBRUARY 18, 2024

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. This design enables the re-reading of old messages.

Kafka 81

Kafka Python Process Google Cloud 81

Pinterest Engineering

SEPTEMBER 12, 2023

Behind the scenes, hundreds of ML engineers iteratively improve a wide range of recommendation engines that power Pinterest, processing petabytes of data and training thousands of models using hundreds of GPUs. In some cases, petabytes of data are streamed into training jobs to train a model.

Data Process 88

Data Process Process Datasets Scala 88

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

Data Process 79

Data Process Process Raw Data Data 79

Data Engineering Podcast

DECEMBER 25, 2022

Summary Encryption and security are critical elements in data analytics and machine learning applications. We have well developed protocols and practices around data that is at rest and in motion, but security around data in use is still severely lacking. Sign up free at dataengineeringpodcast.com/rudder Build Data Pipelines.

Machine Learning 130

Machine Learning Systems Data Lake Data Warehouse 130

The Modern Data Company

APRIL 20, 2023

What is a data operating system? On the surface, it’s an operating system designed specifically for managing and processing large amounts of data. ” DataOS makes integration worries obsolete by integrating data from any source, app, tool, or service.

Systems 95

Systems Entertainment Government Big Data 95

Knowledge Hut

DECEMBER 28, 2023

The information system is a very vast concept that encompasses several aspects like database management, the communication system, various devices, several connections, the internet, collection, organization, and storing data and other information-related applications that are typically used in a business forum.

Systems 52

Systems Telecommunication Technology Certification 52

Towards Data Science

FEBRUARY 9, 2024

The first phase focuses on building a data pipeline. This involves getting data from an API and storing it in a PostgreSQL database. This first part project is ideal for beginners in data engineering, as well as for data scientists and machine learning engineers looking to deepen their knowledge of the entire data handling process.

Kafka 76

Kafka Data Engineering Data Engineer PostgreSQL 76

Robinhood

FEBRUARY 7, 2024

Together, we are building products and services that help create a financial system everyone can participate in. from Robinhood Data Infrastructure Robinhood adheres to a data-first philosophy. Every decision we make here (or every decision at the company), from feature rollouts to operational changes, is backed by data.

Process 76

Process Hadoop Architecture Accessible 76

Netflix Tech

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A Last year we wrote a blog post about how Data Mesh helped our Studio team enable data movement use cases.

Process 108

Process Transportation Kafka Entertainment 108

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. RudderStack’s smart customer data pipeline is warehouse-first. How does it work?

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

Netflix Tech

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Process Pipeline-centric Media Metadata 91

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

Architecture 52

Architecture Database-centric Process BI 52

Tweag

APRIL 26, 2023

Computing is all about transforming data. Moreover, these steps can be combined in different ways, perhaps omitting some or changing the order of others, producing different data processing pipelines tailored to a particular task at hand. a → b) → [b] becomes ∀a.

Data Process 98

Data Process Process Programming Data 98

Engineering at Meta

SEPTEMBER 7, 2023

We’re introducing Arcadia, Meta’s unified system that simulates the compute, memory, and network performance of AI training clusters. Arcadia gives Meta’s researchers and engineers valuable insights into the performance of AI models and workloads in an AI cluster – enabling data-driven decision making in the design of AI clusters.

Systems 104

Systems Architecture Utilities Designing 104

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

Data Process 52

Data Process Process Hadoop Scala 52

Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand the proper processing patterns to make that performant.

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Data Lake Data Integration Lambda Architecture Process 100

Towards Data Science

OCTOBER 12, 2023

Construction engineer investigating his work — Stable diffusion Introduction In our previous publication, From Data Engineering to Prompt Engineering , we demonstrated how to utilize ChatGPT to solve data preparation tasks. In recent decades, data architectures have grown increasingly diverse and complex. This is a fair point.

Data Integration 72

Data Integration Systems Engineering Datasets 72

Engineering at Meta

AUGUST 9, 2023

Explore is one of the largest recommendation systems on Instagram. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and flexible. locally popular media), which further contributes to system scalability.

Systems 87

Systems Media Algorithm Machine Learning 87

Knowledge Hut

APRIL 25, 2024

Intrusion detection systems (IDS) are designed to identify suspicious and malicious activity through network traffic. So, let's get to know the meaning of an intrusion detection system and how it works. What Is a n Intrusion Detection System? Why Are Intrusion Detection Systems Important? and how it works.

Systems 52

Systems Recruitment Machine Learning Certification 52

Pinterest Engineering

JANUARY 18, 2024

In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Specifically, such discrepancies unfold into the following scenarios: Bug-free scenario : Our ads ranking system is working bug-free.

Systems 79

Systems Machine Learning Data Mining Algorithm 79

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. What Does a Data Processing Analyst Do?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Data Engineering Podcast

APRIL 24, 2022

Summary There are very few tools which are equally useful for data engineers, data scientists, and machine learning engineers. WhyLogs is a powerful library for flexibly instrumenting all of your data systems to understand the entire lifecycle of your data from source to productionized model.

Machine Learning 100

Machine Learning Systems Data Lake Metadata 100