ProjectPro

JUNE 6, 2025

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. It also has to decide on the shipping method to minimize transportation costs while meeting the promised delivery date.

Data Science 67

Data Science Project Food Pharmaceutical 67

ProjectPro

JUNE 6, 2025

Transportation Cost Analysis 11. Supply Chain Demand Forecasting Manual demand forecasting in supply chain management has several inefficiencies, such as time-consuming data collection, human bias, and the inability to process large volumes of historical data. Customer Segmentation for Supply Chain Optimization 5.

Data Science 40

Data Science Project Management Transportation 40

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. Factory ID.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Data Engineering Podcast

JULY 8, 2018

How do you manage versioning and backup of data flows, as well as promoting them between environments? One of the advertised features is tracking provenance for data flows that are managed by NiFi. How is that data collected and managed? How is that data collected and managed?

Building 100

Building Transportation Kafka Java 100

Knowledge Hut

APRIL 25, 2024

Big data can be summed up as a sizable data collection comprising a variety of informational sets. It is a vast and intricate data set. Big data has been a concept for some time, but it has only just begun to change the corporate sector. The Department of Education uses big data for developing analytics.

Big Data 97

Big Data Entertainment Transportation Banking 97

Snowflake

MARCH 7, 2023

For example, utilizing data infrastructures that can scale compute resources up and down to handle fluctuating demand will inherently be more energy efficient than a data warehouse with regimented sizing. You should use the data you already have. Data collection and disclosure requirements keep shifting.

Transportation 92

Transportation Data Data Lake Banking 92

ProjectPro

JUNE 6, 2025

At its core, a machine learning system leverages the power of data to refine and boost performance over time iteratively. It further preprocesses the raw data by performing tasks like handling missing values, converting time formats, and normalizing user behavior- all of which are crucial for meaningful insights.

Machine Learning 40

Machine Learning Process Entertainment Algorithm 40

Cloudera

DECEMBER 8, 2020

Instead of collecting data on a single server or data lake, it remains in place — on smartphones, industrial sensing equipment, and other edge devices — and models are trained on-device. Transporting models rather than data has numerous ramifications and tradeoffs.

Machine Learning 85

Machine Learning Transportation Medical Data Lake 85

Netflix Tech

OCTOBER 19, 2020

Stream Processing: to sample or not to sample trace data? This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored. Mantis is our go-to platform for processing operational data at Netflix.

Building 97

Building Transportation Java Metadata 97

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 Transportation Healthcare Deep Learning 96

Netflix Tech

MARCH 25, 2019

In the push model paradigm, various platform tools such as the data transportation layer, reporting tools, and Presto will publish lineage events to a set of lineage related Kafka topics, therefore, making data ingestion relatively easy to scale improving scalability for the data lineage system.

Building 93

Building Metadata Transportation Data Ingestion 93

RandomTrees

SEPTEMBER 10, 2024

Predictive maintenance monitoring seeks to strike a balance by using real-time data and analytics to forecast when equipment will fail. Consequently, many industries, including manufacturing, energy, transportation, and healthcare, are adopting predictive maintenance as their preferred strategy.

Transportation 59

Transportation Manufacturing Machine Learning Healthcare 59

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 Transportation 102

Cloudera

AUGUST 17, 2020

This is done for easy transport and reference from Spark. Data Collection Request – A sentence requesting data from the customer. Next, Hue is used to extract all support cases from Impala where there is a reference to a Knowledge Article in the CDM fields and store it into Parquet files.

Transportation 88

Transportation Machine Learning Datasets Data Collection 88

ProjectPro

JUNE 6, 2025

For instance, in supply chain optimization , agents representing warehouses, suppliers, and transportation units coordinate to minimize costs and delivery times. The architecture often includes sensors for real-time data collection and actuators for implementing actions. It can be physical (e.g., It can be physical (e.g.,

Systems 40

Systems Building Project Transportation 40

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. Here’s the process.

Management 52

Management Transportation High Quality Data Machine Learning 52

ProjectPro

JUNE 6, 2025

Data Collection And Preparation: In this step, you will collect and clean the required data. For this project, you will use historical sales data of the retail store along with data on promotions, seasons, and demographics. Then, ingest the data into Azure Stream Analytics for real-time processing.

Project 40

Project Machine Learning Retail BI 40

Knowledge Hut

JANUARY 2, 2024

It drives the query language of Prometheus, which makes time series data flexible and accurate. Metrics are published via a standard HTTP transport, are readable by humans, and have formats that are self-explanatory. Accessible protocols and file formats The procedure of making the metrics of prometheus accessible is not too difficult.

Architecture 98

Architecture Metadata Utilities Data Collection 98

Snowflake

JANUARY 15, 2025

In this use case, we will use two data sets from Snowflake Marketplace: Worldwide Address Data , a free and open global address data collection, and a tutorial data set from our partner CARTO , which has a restaurant table with a single street_address column.

Transportation 74

Transportation BI Database-centric Metadata 74

ProjectPro

JUNE 6, 2025

This system could be implemented in autonomous vehicles to improve their navigation and decision-making capabilities, ultimately leading to safer roads and more efficient transportation systems. If you are looking for convolutional neural network projects, then do not miss out this one.

Project 63

Project Deep Learning Banking Datasets 63

Knowledge Hut

MAY 29, 2024

Singapore Public Data The Singapore government has embraced an open data initiative, making a vast amount of data freely accessible to the public. The Singapore Public Data provides access to various datasets related to the country's economy, demographics, transportation, health, and more.

Datasets 52

Datasets Transportation Entertainment Media 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.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

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 Engineering 98

Data Engineering Data Engineer Coding Project 98

Confluent

FEBRUARY 6, 2019

While all these solutions help data scientists, data engineers and production engineers to work better together, there are underlying challenges within the hidden debts: Data collection (i.e., integration) and preprocessing need to run at scale. Any option can pair well with Apache Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

NOVEMBER 18, 2023

Accident prevention mechanisms in transportation systems. Thus, companies must obtain appropriate consent from users when storing, processing, and collecting data from IoT devices. In this regard, organizations should implement transparent policies which inform customers of their purpose, retention and scope of data collection.

Machine Learning 52

Machine Learning Transportation Healthcare Amazon Web Services 52

Grouparoo

DECEMBER 7, 2021

If undetected, corruption of data and its information will compromise the processes that utilize that data. Personal Data Collecting and managing data carries regulatory responsibilities regarding data protection and evidence required for regulatory compliance.

Data Integration 52

Data Integration Manufacturing Transportation ETL Tools 52

Knowledge Hut

JUNE 23, 2023

Who Uses Real-time Data Analytics? Many industries and businesses utilize real-time data analytics to get insights and make decisions based on data collected in real time. Real-time data analytics are applied in transportation to improve safety, plan paths, and watch traffic.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

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

APRIL 25, 2024

Only one in three data scientists claim to be specialist in geographical analysis, indicating that there are still very few spatial data scientists. Generally, five key steps comprise the standard workflow for spatial data scientists, which takes them from data collection to offering business insights after the process.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

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.

Transportation 40

Transportation NoSQL Electronics Data Preparation 40

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. This helps businesses reduce storage, transportation and waste costs while ensuring there’s always enough stock available to meet customers’ needs without overstocking.

Transportation 52

Transportation Government Certification Consulting 52

Ascend.io

NOVEMBER 21, 2023

Benefits of ELT Compared to ETL, the adoption of ELT in data management strategies offers a host of advantages: Increased Efficiency and Speed: By loading data directly into the warehouse before transforming it, ELT minimizes the time lag between data collection and availability for analysis.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Transportation 52

Edureka

JULY 18, 2023

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. The company is headquartered in New York City, and it has offices in London, Mumbai, and Bangalore.

Data Analytics 40

Data Analytics Telecommunication Consulting Manufacturing 40

Knowledge Hut

MARCH 22, 2024

It also allows organizations to leverage data collected from IoT devices, converting IoT data into actionable information. These devices are found as sensors, actuators, cameras, and others and are distributed in various settings ranging from industrial facilities, smart buildings, healthcare, and transportation systems.

Cloud Computing 52

Cloud Computing Transportation Utilities Cloud 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

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

U-Next

SEPTEMBER 21, 2022

Using Artificial Intelligence in finance and fintech has enabled financial organizations to make intelligent judgments by evaluating vast amounts of data acquired in real-time from financial markets. This method is extremely reliable as the data collecting, processing, and analysis occur in real time. Smart Assistants .

Insurance 40

Insurance Transportation Finance Machine Learning 40