KDnuggets

AUGUST 21, 2023

A comprehensive comparison between OLAP and OLTP systems, exploring their features, data models, performance needs, and use cases in data engineering.

Systems 67

Systems Data Process Process Data 67

Data Engineering Weekly

SEPTEMBER 26, 2024

Once again, I want to thank the Data Heros community. Last Friday, we discussed the challenges in bulk discovery and anonymization processes in data warehouses. The collective design choices and ideas lead to a comprehensive overview of thinking about designing data infrastructure with a privacy-first approach.

Systems 67

Systems Engineering Data Warehouse Architecture 67

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

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

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 102

Data Process Process Datasets Software Engineer 102

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

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 93

Systems Media Machine Learning Data Warehouse 93

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

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

Precisely

NOVEMBER 7, 2024

Key Takeaways: In the face of ransomware attacks, a resilience strategy for IBM i systems must include measures for prevention, detection, and recovery. No platform is immune, not even the reliable and secure IBM i systems. So, how can you keep your IBM i systems resilient even as ransomware risks are on the rise?

Systems 59

Systems Accessible Accessibility Programming 59

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

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

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

Precisely

NOVEMBER 14, 2024

Most companies are now using SAP ® S/4HANA, which significantly affects how they use their SAP ® ERP system and the software client user interfaces they choose to deploy. Read on for a preview of the six essential trends from the 2025 Trends in SAP ® Processes and Automation report. What did they have to say?

Process 52

Process Finance Systems Coding 52

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 78

Systems Raw Data Metadata Data Cleanse 78

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 109

Process Transportation Kafka Entertainment 109

Pinterest Engineering

SEPTEMBER 19, 2024

Manager, Engineering | At Pinterest, we operate a large-scale online machine learning inference system, where feature caching plays a critical role to achieve optimal efficiency. Background Recommender systems are fundamental to Pinterest’s mission to inspire users to create a life they love.

Systems 56

Systems Utilities Architecture Software Engineer 56

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

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

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 74

Data Process Process Raw Data Data 74

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 76

Kafka Python Process Google Cloud 76

Knowledge Hut

MAY 6, 2024

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

Systems 98

Systems Transportation Certification Healthcare 98

Precisely

MAY 30, 2024

Key Takeaways: Cloud-based High Availability Disaster Recovery (HA-DR) solutions enhance operational efficiency, leveraging automation to streamline recovery processes and reduce downtime expenses. Are you considering leveraging the cloud alongside your existing IBM AIX and IBM i systems infrastructure?

Systems 69

Systems Cloud Cloud Computing Education 69

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

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.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

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

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 60

Google Cloud Process Cloud Lambda Architecture 60

Striim

JULY 30, 2024

Ensuring system resilience is critical for maintaining a competitive edge in today’s data-driven world. As businesses rely on real-time data to fuel decision-making, it’s essential that their systems can withstand disruptions and maintain functionality. Check out this blog.) Here’s how it works.

Systems 52

Systems Healthcare Utilities Data Integration 52

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.

Process 93

Process Pipeline-centric Media Metadata 93

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

Edureka

JULY 4, 2024

Amazon Elastic File System (EFS) is a service that Amazon Web Services ( AWS ) provides. It is intended to deliver serverless, fully-elastic file storage that enables you to share data independently of capacity and performance. All these features make it easier to safeguard your data and also keep to the legal requirements.

AWS 52

AWS Systems Amazon Web Services Cloud Storage 52

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 105

Systems Architecture Designing Utilities 105

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 59

Designing Systems Architecture Coding 59

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 92

Systems Media Algorithm Machine Learning 92

Pinterest Engineering

AUGUST 8, 2024

In our previous system, which operated on a daily budget allocation model, the system relied on predicting daily budgets for individual users on a daily basis, constraining the flexibility and responsiveness required for dynamic user engagement and content changes. Figure 1 below shows the overview of the system architecture.

Systems 43

Systems Machine Learning Utilities Architecture 43

Start Data Engineering

MAY 28, 2024

Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Introduction 2. Project demo 3. Use DuckDB 4.4.

Data Pipeline 219

Data Pipeline Python Building Data 219