Engineering at Meta

JANUARY 27, 2023

This talk showcases Bifrost and Echo , which are the first networks to directly connect the US and Singapore and will support SGA, Meta’s first APAC data center. Millisampler data allows us to characterize microbursts at millisecond or even microsecond granularity.

Engineering 132

Engineering Software Engineering Software Engineer Transportation 132

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. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.

Project 96

Project Healthcare Deep Learning Transportation 96

Striim

OCTOBER 11, 2024

Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL. What is a Data Pipeline? A data pipeline refers to a series of processes that transport data from one or more sources to a destination, such as a data warehouse, database, or application.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Knowledge Hut

NOVEMBER 18, 2023

Accident prevention mechanisms in transportation systems. Security and Privacy in IoT and ML IoT security and privacy encompasses systems, methods, tools, and processes which are responsible for protecting a company's Internet of things components. Now, these frameworks can be used for various applications.

Machine Learning 52

Machine Learning Transportation Healthcare Medical 52

Data Engineering Podcast

JULY 8, 2018

Does the data that is processed by NiFi flow through the servers that it is running on (á la Spark/Flink/Kafka), or does it orchestrate actions on other systems (á la Airflow/Oozie)? How do you manage versioning and backup of data flows, as well as promoting them between environments? How is that data collected and managed?

Building 100

Building Transportation Kafka Java 100

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge.

Manufacturing 109

Manufacturing Data Warehouse Kafka Retail 109

Netflix Tech

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. Stream Processing: to sample or not to sample trace data?

Building 94

Building Transportation Java Metadata 94

Knowledge Hut

APRIL 25, 2024

(with Example) Spatial analysis , commonly referred to as geospatial data science is a geographical solution that combines data science with geographic solutions like geographic information systems (GIS).In Big Data Analytics Big data analytics has revolutionized many industries like no other.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

Knowledge Hut

JANUARY 23, 2024

It incorporates information and communication technology (ICT), the internet of things (IoT), multiple sensors, machine learning technologies, and numerous data collecting and analysis equipment such as unmanned aerial vehicles. It also leaves the entire system vulnerable to a cyber-attack.

Technology 52

Technology Food Insurance Data Collection 52

Knowledge Hut

JUNE 23, 2023

Real-time data analytics is an essential innovation that enables companies to act quickly on data. By this year, more than half of business systems would base choices on current context data. Who Uses Real-time Data Analytics? Analytics will continue to allow more adaptable and real-time decision-making in 2023.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Ascend.io

NOVEMBER 21, 2023

ELT (Extract, Load, Transform) is a data integration technique that collects raw data from multiple sources and directly loads it into the target system, typically a cloud data warehouse. Extract The initial stage of the ELT process is the extraction of data from various source systems.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

MARCH 22, 2024

It also allows organizations to leverage data collected from IoT devices, converting IoT data into actionable information. Remote Monitoring and Control: Azure IoT allows remote monitoring and control of devices and systems in multiple locations.

Cloud Computing 52

Cloud Computing Utilities Cloud Transportation 52

Netflix Tech

MARCH 25, 2019

Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Let’s review a few of these principles: Ensure data integrity ?—?Accurately Enable seamless integration?—?

Building 89

Building Metadata Transportation Data Ingestion 89

Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Which queries do you have?

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Rockset

APRIL 12, 2021

Think construction logistics and one pictures a flow of trucks transporting concrete and other necessary materials from suppliers to construction sites. Yet for every physical delivery made, many more exchanges of data occur in the background in order to seamlessly orchestrate supply chain operations.

NoSQL 40

NoSQL Transportation Electronics Data Preparation 40

Edureka

JULY 18, 2023

Oracle’s first product was a relational database management system (RDBMS) called Oracle Database. SG Analytics has also been recognized as a leading data analytics company by a number of organizations, including Analytics India Magazine, The Economic Times, and The Hindu BusinessLine. Revenue: $43.9

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Confluent

JUNE 13, 2019

You might think that data collection in astronomy consists of a lone astronomer pointing a telescope at a single object in a static sky. While that may be true in some cases (I collected the data for my Ph.D. thesis this way), the field of astronomy is rapidly changing into a data-intensive science with real-time needs.

Kafka 102

Kafka Bytes Data Pipeline Python 102

Edureka

FEBRUARY 16, 2023

This data can come from various sources, including government reports, trade publications, company earnings reports and surveys of consumers’ buying habits. These systems also allow companies to simulate different scenarios to optimise production levels across multiple locations. Read More: What is Supply Chain Visibility?

Transportation 52

Transportation Government Big Data Certification 52

Rockset

FEBRUARY 24, 2023

It’s a continuous and unbounded stream of information that is generated at a high frequency and delivered to a system or application. An instructive example is clickstream data, which records a user’s interactions on a website. Another example would be sensor data collected in an industrial setting.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Knowledge Hut

JANUARY 24, 2024

A Day in the Life of a Data Scientist: Daily responsibilities The daily responsibilities of a data scientist are diverse and multifaceted, reflecting the dynamic nature of their role. This involves writing scripts, using data extraction tools, and ensuring data quality. Do data scientists get paid well?

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

U-Next

SEPTEMBER 21, 2022

AI systems have a lot to offer organizations to optimize different processes, such as automating repetitive tasks, eliminating human error, and making human employment more productive. This method is extremely reliable as the data collecting, processing, and analysis occur in real time. AI for Business Operations .

Insurance 40

Insurance Finance Transportation Machine Learning 40

Knowledge Hut

JULY 27, 2023

.": Machine-readable definition files are used in the Infrastructure as Code methodology for automated management and provisioning of computer systems. Version Control: TechCo's source code is managed through a distributed version control system like Git. This is especially pertinent in cloud settings.

Coding 52

Coding Transportation Recruitment Certification 52

Monte Carlo

FEBRUARY 15, 2023

This article will define in simple terms what a data warehouse is, how it’s different from a database, fundamentals of how they work, and an overview of today’s most popular data warehouses. What is a data warehouse? An ETL tool or API-based batch processing/streaming is used to pump all of this data into a data warehouse.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

ProjectPro

NOVEMBER 18, 2021

Data science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

APRIL 17, 2015

Last year when Twitter and IBM announced their partnership it seemed an unlikely pairing, but the recent big data news on New York Times about this partnership took a leap forward with IBM’s Watson all set to mine Tweets for sentiments. This is likely to bring about novel trends in big data analytics.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

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. You need to think about the whole model lifecycle.

Machine Learning 107

Machine Learning Python Kafka Java 107

AltexSoft

MAY 14, 2021

It’s represented in terms of batch reporting, near real-time/real-time processing, and data streaming. The best-case scenario is when the speed with which the data is produced meets the speed with which it is processed. Let’s take the transportation industry for example. Big Data analytics processes and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

DECEMBER 21, 2021

Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” ” In this article, you will find out what data labeling is, how it works, which data labeling types exist, and what best practices to follow to make this process smooth as glass.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Knowledge Hut

DECEMBER 27, 2023

The Operation Executive creates plans for simplifying the process and systems helping Primary Business operations. They are responsible for coordinating with production, warehouse, distribution and transportation. A company gives a particular goal, while a Data Scientist gives the databases required to achieve the goal.

Banking 52

Banking Recruitment Finance Portfolio 52

Knowledge Hut

JANUARY 11, 2024

Back in 2016, when heavy storms badly struck Australia's east coast, only 15 out of 436 Qantas flights were cancelled due to their predictive analytics-based system against their competitor Virgin Australia, which witnessed 70 cancelled flights out of 320. Data about packages and deliveries are captured through radars and sensors.

Data Science 98

Data Science Transportation Banking Hospitality 98

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

AUGUST 21, 2015

Differentiate between Structured and Unstructured data. Data that can be stored in traditional database systems in the form of rows and columns, for example, the online purchase transactions can be referred to as Structured Data. What are the steps involved in deploying a big data solution?

Hadoop 40

Hadoop Big Data Metadata Java 40

U-Next

AUGUST 26, 2022

Companies may use Data Analytics to evaluate their data (historic, genuine, unorganized, subjective), find connections, and provide insight that can guide and, in some circumstances, automate choices, bridging knowledge and actions. Data Analytics Illustration. The London Olympics used this Data Analysis method a few years ago.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

U-Next

SEPTEMBER 23, 2022

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. However, storing this data on the standard systems we have been using for almost 40 years is impossible.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

U-Next

MARCH 15, 2023

Data Analytics for Gaining Insights The operational, strategic, and tactical decision-making processes heavily depend on information. However, the calculation and data collection within businesses is increasing swiftly. In this manner, a more thorough evaluation of the performance is possible.

Management 52

Management Manufacturing Machine Learning Electronics 52

ProjectPro

MAY 31, 2021

Projects requiring the generation of a recommendation system are excellent intermediate Big Data projects. The use of Spark SQL to store the data and Apache Hive to process the data, along with a few applications of machine learning, can build the required recommendation system.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

JANUARY 2, 2024

You will learn how to build up Kube-state-metrics system, pull and collect metrics, deploy a Prometheus server and metrics exporters, configure alerts with Alertmanager, and create Grafana dashboards. For use instances when Prometheus cannot scrape the data, it is possible to push metrics to Prometheus using Pushgateway.

Architecture 98

Architecture Metadata Utilities Data Collection 98