Engineering at Meta

AUGUST 5, 2024

We opted for RDMA Over Converged Ethernet version 2 (RoCEv2) as the inter-node communication transport for the majority of our AI capacity. This backend fabric utilizes the RoCEv2 protocol, which encapsulates the RDMA service in UDP packets for transport over the network.

Transportation 126

Transportation Designing Architecture Data Ingestion 126

Confluent

JULY 16, 2020

Apache Kafka® is a distributed commit log, commonly used as a multi-tenant data hub to connect diverse source systems and sink systems. Source systems can be systems or records, operational […].

Kafka 71

Kafka Transportation Systems Data 71

RandomTrees

JULY 31, 2024

In a world that is changing fast, where technology is now the order of the day, transportation as an industry is undergoing a radical change. Understanding V2X Communication: Intelligent transport systems depend on V2X communication as the basis that enables interaction between cars and their environment.

Transportation 52

Transportation Entertainment Algorithm Manufacturing 52

Cloudera

JULY 24, 2024

Citizens of large cities heavily depend on their local metro systems to plan their day-to-day lives. People need to get to work, go to the doctor, and get groceries, and it’s up to their local transportation department to ensure they make it to their destinations reliably.

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Transportation Metadata Cloud Systems 78

Lyft Engineering

FEBRUARY 24, 2023

Are there enough drivers system-wide, assuming a ride request will be accepted no matter how far away it is? Optimal transport At the core of the Lyft platform is the matching algorithm that dispatches drivers to satisfy rider demand. First, define a non-negative valued transport function γ(i, j) and a cost function c(i, j).

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Transportation Utilities Systems Algorithm 99

Data Engineering Weekly

OCTOBER 11, 2024

Agent systems powered by LLMs are already transforming how we code and interact with data. This next phase, the AI-Native Data Stack , will fundamentally alter how we build, maintain, and scale data systems. This centralized model mirrors early monolithic data warehouse systems like Teradata, Oracle Exadata, and IBM Netezza.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Engineering at Meta

JANUARY 31, 2023

General high-level architecture Any asynchronous computing platform is composed of the following building blocks: Ingestion and storage Transport and routing Computation Ingestion and storage Our platform is responsible for accepting the workloads and storing them for execution. The transport layer consisted of a component called “Dispatcher.”

Transportation 108

Transportation Architecture Data Warehouse MySQL 108

Picnic Engineering

FEBRUARY 6, 2024

For further details about this warehouse, look at this blog post we shared earlier: [link] We installed on-premises servers in this warehouse to operate its systems due to the limit of the speed of light! Our goods are transported in boxes with standardised sizes, called totes. Execute the divert decision.

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Cloud Transportation Cloud Computing Systems 97

Edureka

JUNE 12, 2024

Nevertheless, it offers unimaginable opportunities for increased innovation and more secure and smart transportation. AI not only become a convenience, but it also assists in ensuring safe and efficient transportation of people. Smart Cities – AI contributes to smarter cars and transportation in smart cities.

Transportation 52

Transportation Manufacturing Algorithm Designing 52

Towards Data Science

FEBRUARY 9, 2024

Ideal for those new to data systems or language model applications, this project is structured into two segments: This initial article guides you through constructing a data pipeline utilizing Kafka for streaming, Airflow for orchestration, Spark for data transformation, and PostgreSQL for storage. You can also leave the port at 5432.

Kafka 72

Kafka Data Engineer Data Engineering PostgreSQL 72

RandomTrees

SEPTEMBER 10, 2024

Consequently, many industries, including manufacturing, energy, transportation, and healthcare, are adopting predictive maintenance as their preferred strategy. Data Integration: The data is then fed into a central system, where it is processed and stored. An industry should check the compatibility between its current systems and AIs.

Transportation 52

Transportation Manufacturing Machine Learning Algorithm 52

Snowflake

OCTOBER 24, 2023

Founded nearly 70 years ago, Werner Enterprises is a North American transportation and logistics leader that operates a fleet of almost 8,300 trucks and 30,000 trailers out of 16 terminals across the United States. Each truck sends a location ping to the system every five minutes, which results in more than 2.5 million pings a day.

Transportation 95

Transportation Data Warehouse Cloud Python 95

Engineering at Meta

NOVEMBER 15, 2023

As a result, we have deployed large-scale, distributed, network-interconnected systems to support these systems and workloads. We recently shared these systems with the community via Chakra , which allows for co-designing efficient distributed ML systems.

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Building Engineering Transportation Software Engineering 91

RandomTrees

APRIL 29, 2024

Also, AI-driven predictive maintenance systems help in identifying likely problems before they arise. These systems analyze sensor data and performance metrics in real time. This comprises features such as self-parking abilities, voice-activated assistants, and developed driver monitoring systems.

Transportation 52

Transportation Manufacturing Algorithm Machine Learning 52

Striim

JULY 10, 2024

Data Collection and Integration: Data is gathered from various sources, including sensor and IoT data, transportation management systems, transactional systems, and external data sources such as economic indicators or traffic data. These systems are designed to detect anomalies and trigger alerts in response to emerging threats.

Management 52

Management Transportation Machine Learning High Quality Data 52

Knowledge Hut

APRIL 25, 2024

These state-of-the-art analytics enhance patient care in the healthcare system by enabling clinicians to prescribe effective treatments and make more accurate clinical decisions, further removing any treatment-related ambiguity. It can be used to identify the issues causing delays and maintenance outages in the transportation sector.

Big Data 97

Big Data Entertainment Transportation Banking 97

RandomTrees

MAY 23, 2024

Optimizing Transportation and Distribution Streamlining Networks It improves logistics in oil and gas through using Generative AI tools that identify optimal transportation networks. In order to keep up with demand, companies require efficient logistical systems that ensure timely delivery of products.

Transportation 52

Transportation Algorithm Machine Learning Data 52

Picnic Engineering

MARCH 14, 2023

In our previous part of this blog series we have talked about the challenges we faced developing our very first Warehouse Control System (WCS). This system orchestrates flows of groceries over 30 miles of conveyor in our automated fulfillment center (FC) in the Dutch city of Utrecht. The warehouse consists of four layers.

Python 59

Python Transportation Systems Algorithm 59

Netflix Tech

AUGUST 1, 2022

This article gives an overview of the system. As the system evolves to solve more and more use cases, we have expanded its scope to handle not only the CDC use cases but also more general data movement and processing use cases such that: Events can be sourced from more generic applications (not only databases).

Process 109

Process Transportation Kafka Entertainment 109

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. They created a system to spread data across several servers with GPU-based processing so large datasets could be managed more effectively across the board. . Roads and Transport Authority, Dubai.

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Transportation Telecommunication Banking Data Lake 111

Netflix Tech

MARCH 10, 2020

We had an interesting challenge on our hands: we needed to build the core of our app from scratch, but we also needed data that existed in many different systems. Outside of the business logic are the Data Sources and the Transport Layer: Data Sources are adapters to different storage implementations.

Architecture 138

Architecture Transportation Java Database 138

U-Next

MARCH 12, 2023

System based on XML. It contains information about web administrations, such as the name of the technology, the strategy parameter, and directions to the site. An administration uses XML to label data, SOAP to transport messages, and WSDL to show how accessible particular administrations are. Information on web administrations 3.

Cloud Computing 98

Cloud Computing Architecture Cloud Transportation 98

Towards Data Science

FEBRUARY 9, 2024

The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed? Orchestration is commonly executed through Directed Acyclic Graphs (DAGs) or code that structures hierarchies, dependencies, and pipelines of tasks across multiple systems.

Building 78

Building Transportation Data Lake Metadata 78

Cloudera

AUGUST 11, 2022

To drive these data use cases, the Department of Defense (DoD) communities and branches require a reliable, scalable data transport mechanism to deliver data (from any source) from origination through all points of consumption; at the edge, on-premise, and in the cloud in a simple, secure, universal, and scalable way. edge processing.

Transportation 94

Transportation Data Ingestion Architecture Data 94

Cloudera

OCTOBER 25, 2023

This includes climate modeling and prediction, crop yield prediction, pest and disease detection, irrigation management, precision agriculture, soil health assessment, crop selection and rotation, carbon sequestration, supply chain optimization, decision support systems, climate adaptation strategies, and data-driven research.

Food 102

Food Machine Learning Transportation Manufacturing 102

Knowledge Hut

MARCH 18, 2024

This structure allows for a dynamic representation of complex relationships in diverse fields, such as social networks, transportation systems, or computer networks. Transportation Networks: Usage: Optimizing routes and logistics in road, air, and public transit networks. Disadvantages: 1.

Transportation 52

Transportation Algorithm Software Engineering Software Engineer 52

Knowledge Hut

NOVEMBER 20, 2023

AI has the potential to completely transform the way things are transported from producer to consumer, from demand forecasting and inventory management to route optimization and last-mile delivery. System Limitations: Usually cloud-based, AI systems demand a lot of bandwidth.

Transportation 52

Transportation Manufacturing Utilities Machine Learning 52

Knowledge Hut

MAY 3, 2024

Power BI has numerous uses in building a software system. Visualization - Inbuilt Feature Data Visualization is very crucial for human management in business systems. Power BI integration with Cortana can visualize data, interact with it in your OS, and search your data with Cortana’s powerful AI systems.

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BI Media Transportation MySQL 98

Cloudera

DECEMBER 1, 2023

A breach or compromise of AI systems can have severe consequences, potentially compromising sensitive citizen data or even disrupting critical services. million), the Louisiana Department of Motor Vehicles (6 million), and Oregon’s Department of Transportation (3.5 million), among others. million), among others.

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Building Government Transportation Data Governance 109

Hevo

APRIL 26, 2024

Transporting data from multiple sources to a target system such as a Data warehouse has always been a challenge for businesses across the world. The loading stage of the ETL (Extract, Transform & Load) process is particularly an area of interest for improving the data migration process.

Transportation 40

Transportation Data Warehouse Systems Process 40

Knowledge Hut

DECEMBER 27, 2023

Firewalls, antivirus, and other protection programs can learn the patterns of the attacker through data science and alert the network or system administrator of potential security breaches. Data Science Application In Recommender Systems Another well-liked tool for making recommendations is the use of recommender systems.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Knowledge Hut

MAY 31, 2023

AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. This is an important use of machine learning in autonomous driving systems since it helps the car stay in its lane and prevent accidents.

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Project Healthcare Deep Learning Transportation 96

Knowledge Hut

MAY 29, 2024

The Singapore Public Data provides access to various datasets related to the country's economy, demographics, transportation, health, and more. By visualizing ProPublica's datasets, we can uncover patterns, disparities, and systemic problems that might otherwise go unnoticed.

Datasets 52

Datasets Transportation Entertainment Media 52

Edureka

FEBRUARY 9, 2023

One must map their locations and see how they can transport the material to the manufacturing facility at the minimum cost and time. The closer you are to them, the less you will spend on transportation. You must also look at transportation and how much it will cost to send goods to the distributors or buyers.

Designing 52

Designing Transportation IT Manufacturing 52

Data Engineering Podcast

DECEMBER 28, 2020

In this episode co-founder and CTO Yoav Cohen explains how the Satori platform provides a proxy layer for your data, the challenges of managing security across disparate storage systems, and their approach to building a dynamic data catalog based on the records that your organization is actually using.

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Data Governance Government Transportation Data 130

Data Science Blog: Data Engineering

AUGUST 22, 2024

If you input poor-quality data into an AI system, the results will be poor. Tools like BiG EVAL are leading data quality field for all technical systems in which data is transported and transformed. Emerging Trends in Data Preparation Automated Data Cleaning Manual data cleaning is both time-consuming and error-prone.

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Data Preparation Transportation High Quality Data Data Science 52

Netflix Tech

JUNE 7, 2021

The sidecar has been implemented by leveraging the highly performant eBPF along with carefully chosen transport protocols to consume less than 1% of CPU and memory on any instance in our fleet. The choice of transport protocols like GRPC, HTTPS & UDP is runtime dependent on characteristics of the instance placement.

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Transportation AWS Cloud Metadata 130