Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Companies have not treated the collection, distribution, and tracking of data throughout their data estate as a first-class problem requiring a first-class solution.

Systems 104

Systems Data Lake Google Cloud Data Collection 104

Cloudera

APRIL 22, 2022

There are numerous applications for these, ranging from public transit and congestion control, to security and law enforcement, to identification of free parking spots or footfall trends for retailers and urban planners. There may be particular advantages for location-specific data collected or managed by operators.

Data Solutions 134

Data Solutions Amazon Web Services Data Storage Cloud 134

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. He currently works at Cloudera, managing their Data-in-Motion product line.

Data Ingestion 73

Data Ingestion Retail Kafka Data Lake 73

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 Data Collection 92

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. Third party opportunities One way for financial services firms to monetize their data is by selling it to third parties.

Banking 70

Banking Portfolio Retail Finance 70

AltexSoft

APRIL 12, 2022

When using patient data for AI purposes, companies must do additional data preprocessing work such as anonymization and de-identification not to violate HIPAA rules (the Health Insurance Portability and Accountability Act that protects the privacy of health records in the US.). Here’s how data is prepared for machine learning .

Insurance 98

Insurance Recruitment Government Algorithm 98

Cloudera

SEPTEMBER 4, 2020

Using the data collected, they are also able to offer services such as vehicle diagnostics, provide roadside assistance, stolen vehicle assistance, and emergency assistance as well.

Machine Learning 93

Machine Learning Insurance Retail Government 93

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Medical 83

Medical Government Hospitality Electronics 83

Picnic Engineering

DECEMBER 3, 2024

As an online grocery retailer, we operate in a complex environment that requires us to adapt on an ongoing basis to changes in customer behavior, our operations, legislation etc. In order to do so adequately, we need to be able to ship changes to our apps often and with little lead time.

Business Analyst 40

Business Analyst Software Engineering Software Engineer Architecture 40

Knowledge Hut

JANUARY 18, 2024

These professionals are capable of handling feature engineering, getting the data, and model building. They also ensure the efficient application of the model for making relevant predictions using the data collected through various methods. Some key reasons to become a data scientist include the following.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

DECEMBER 27, 2023

Retail Amazon Walmart Target Best Buy Research and Development Microsoft Research Asia Energy Research Institute JAH Tech Rekiki PTE Ltd Singapore Energy Centre Asian Consumer Intelligence Information Technology Apple Inc. Retail Many retail companies in Singapore use software applications to interact with customers and offer online support.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Knowledge Hut

JULY 26, 2023

Biases can arise from various factors such as sample selection methods, survey design flaws, or inherent biases in data collection processes. Bugs in Application: Errors or bugs in data collection, storage, and processing applications can compromise the accuracy of the data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

OCTOBER 27, 2023

AI-Powered Shopping System AI-Powered Shopping System is a useful software engineering project that can assist online retailers provide customers with personalized product suggestions and real-time price tracking. It delivers a spectrum of elements like integration with payment gateways, product reviews, and mobile compatibility.

Software Engineering 98

Software Engineering Software Engineer Coding Project 98

ProjectPro

JANUARY 27, 2023

ETL for IoT - Use ETL to analyze large volumes of data IoT devices generate. Real-World ETL Use Cases and Applications Across Industries This blog discusses the numerous ETL use cases in various industries, including finance, healthcare, and retail.

BI 52

BI ETL Tools Retail Healthcare 52

Snowflake

APRIL 18, 2023

Additionally, the gradual deprecation of the third-party cookie has placed a growing premium on first-party data, or data collected directly from customers, to support effective digital targeting strategies. Brands are spending upwards of $100B globally to advertise on these networks, with ads delivering a 70-90% sales margin.

Retail 52

Retail Digital Media Media Food 52

AltexSoft

JUNE 16, 2022

The first ones involve data collection and preparation to ensure it’s of high quality and fits the task. Here, you also do data splitting to receive samples for training, validation, and testing. Then you choose an algorithm and do the model training on historic data and make your first predictions.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

JANUARY 18, 2024

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. This data can be of any type, i.e., structured or unstructured, which also includes images, videos and social media, and more.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

RandomTrees

JANUARY 29, 2024

Traditionally, the quest for labeled data involves the meticulous task of human annotation, a process both labor-intensive and financially demanding. Yet, beyond the sheer toil, there are lurking concerns of privacy, limitations in data diversity, and the uphill battle of scaling up real-world data collection.

Medical 52

Medical Retail Entertainment Datasets 52

Snowflake

APRIL 20, 2023

Daltix Daltix provides quality retail data you can trust. The company’s data is highly accurate, which makes deriving insights easy and decision-making truly fact based. Data access is daily and seamless, another significant benefit in the industry’s competitive landscape.

Medical 59

Medical Retail Python Pharmaceutical 59

Edureka

JULY 18, 2023

billion (2022) Employees: 505,000+ Services: Data analytics, consulting, technology Clients: 9,000+ Industry focus: Financial services, healthcare, retail, manufacturing, and telecommunications Accenture Analytics is a leader in the data analytics industry. Some of the key figures for Accenture Analytics include: Revenue: $50.5

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Rockset

MARCH 25, 2022

It doesn’t just build Apple gadgets, Beats headphones and other products on behalf of brands, PCH also sources products it doesn’t make, and ships finished goods to retailers as well as straight to consumers. PCH needed to upgrade its data technology for the age of real-time data.

Manufacturing 52

Manufacturing MongoDB Retail Data Warehouse 52

ProjectPro

MAY 23, 2015

With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. Whether it is in-store purchases or social mentions or any other online activity, Walmart has always been one of the best retailers in the world. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

MAY 3, 2024

Zalando: As the leading online fashion retailer in Europe, Zalando uses Kafka as an ESB (Enterprise Service Bus), which helps us in transitioning from a monolithic to a microservices architecture. With Kafka Streams, spending predictions are more accurate than ever.

Kafka 98

Kafka Scala Java Amazon Web Services 98

AltexSoft

NOVEMBER 23, 2021

City Furniture: Online retailer creates enterprise-wide data fabric to advance analytics. A huge online retail company, City Furniture realized that in the pandemic realities, it is necessary to opt for digital transformation and data virtualization was the way to facilitate this goal.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

MAY 31, 2023

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

RandomTrees

DECEMBER 12, 2023

Synthetic data can get used to assist computer vision in the following ways. Data collection for real-world visuals with desirable characteristics and diversity can be time-consuming and extremely expensive. In order to achieve accurate model outcomes, data points must get annotated with the correct labels after collection.

Deep Learning 52

Deep Learning Datasets Healthcare Algorithm 52

Knowledge Hut

JUNE 4, 2024

The data you sell will be covered by dozens of companies, and these companies will be in the telecommunications and information services sectors. Develop an Online Survey Tool The demand for data collection makes it one of the viable data science ideas for businesses to develop an online survey tool.

Data Science 52

Data Science Data Mining Media Recruitment 52

Knowledge Hut

MAY 2, 2024

The applications of math are used in many Industries like Retail, Manufacturing, IT to bring out the company overview in terms of sales, production, goods intake, wage paid, prediction of their level in the present market and much more. Analysis of data includes Condensation, Summarization, Conclusion etc.,

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

Knowledge Hut

NOVEMBER 3, 2023

If you are involved with retail, for example, you can start with a retail-specific template and tweak it to your company's needs. It uses machine learning and neural networks (AI) to streamline data collection, mine insights, and deliver personalized recommendations.

BI 52

BI Cloud Retail Medical 52

Knowledge Hut

APRIL 19, 2023

E-commerce: To monitor sales patterns and consumer behavior, online retailers frequently use data aggregation. In order to determine the most popular goods, average order value, or repeat purchase rate, for instance, customer purchase data may be aggregated. This can be done manually or with a data cleansing tool.

Process 59

Process Data Mining Aggregated Data Portfolio 59

Knowledge Hut

FEBRUARY 11, 2023

A data analyst uses logic-based tools and techniques and computer programming to realize goals, develop a new product, or form better business strategies. Multiple industries, like the education industry, the software industry, the retail industry, etc., The average pay scale of a data analyst in the industry is $68,000.

Retail 52

Retail Education Data Mining Healthcare 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. million people around the globe.

Data Science 52

Data Science Project Food Pharmaceutical 52

Knowledge Hut

JANUARY 19, 2024

Collect Data Green Belts or Black Belts are responsible for data collection by the project champion. For a few weeks, this team tried to collect any data that would help the project. The champion then enters the data into a charter template and collaborates with the group to edit it.

Project 52

Project Retail Media Manufacturing 52

ProjectPro

MAY 8, 2015

This article elaborates on how big data is changing our lives and what are the challenges businesses are confronted with for leveraging effective data analytics. 7 th May 2015, InformationWeek - Cuba turns to big data analytics for improving tourism. The customer’s data is highly valuable to a company.

Big Data 40

Big Data Retail Banking Healthcare 40

Towards Data Science

MARCH 17, 2023

You have enough data to train a decent time-series model, but because transaction patterns differ quite a bit between customers, then you need to train a model for each customer in order to accurately forecast and detect anomalies in their specific usage patterns. What if we have thousands or even hundreds of thousands of customers?

Datasets 98

Datasets Scala Machine Learning SQL 98

Snowflake

FEBRUARY 16, 2023

But it’s really hard and becoming increasingly harder to find and extract that data in a way that machines can process later,” explained Or Lenchner, CEO of Bright Data. We also support 650 organizations through our Bright Initiative—a pro-bono program designed to help entities that use data for the public good,” explained Lenchner.

Accessible 52

Accessible Accessibility BI Data 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52