Cloudera

OCTOBER 28, 2021

For example, the types of data sourced from other industries that we can use in the underwriting process include: Manufacturing – sensors (for quality, safety and maintenance-related). Retail – location (and associated risk), type of equipment used, inventory sensors, supply chain data, hours of operation.

Insurance 102

Insurance Transportation Unstructured Data Manufacturing 102

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 92

Systems Hadoop Metadata Telecommunication 92

Snowflake

MAY 9, 2024

It started when one capable model suited for text gained mainstream attention, and now, less than 18 months later, there is a long list of commercial and open-source gen AI models are now available, alongside new multimodal models that also understand images and other unstructured data.

Unstructured Data 100

Unstructured Data Manufacturing Retail Data Warehouse 100

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Deep Learning Models Deep learning models are particularly adept at extracting insights from unstructured data like images, text, and audio.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Cloudera

JULY 26, 2021

Among the plethora of industry-specific and technology themes contributing towards that growth agenda, there are some common business and technology forces influencing data product development: An increasing focus on data collaboration partnerships between enterprises to enable data sharing and value exchange across an industry value chain.

Generalist 120

Generalist Telecommunication Healthcare Data Science 120

Precisely

MARCH 9, 2023

We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data. They may want to look at those numbers on a daily or weekly basis.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons Hadoop can store close to 1 trillion files using enterprise class storage processing layer.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

Knowledge Hut

JANUARY 18, 2024

Splunk Splunk is an American software company broadening its horizon in monitoring, investigating, and analyzing data. Splunk is the leading software to convert any data into real-world action. You can search structured as well as unstructured data with Splunk.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

Cloudera

DECEMBER 3, 2020

A lot of the traditional in-person methods used for gathering data in insurance are now impossible and new ways of capturing data remotely are being implemented. The data being captured in forms of structured and unstructured data can unlock new insights. Customers want to listen and learn from them. .

Insurance 54

Insurance Unstructured Data Healthcare Manufacturing 54

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

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? So Big Data is a Big Deal!

Hadoop 52

Hadoop Big Data Unstructured Data Retail 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.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Cloudera

AUGUST 31, 2020

The XM platform, smg360 , helps customers across verticals, including restaurants, retail, and healthcare, drive changes that boost loyalty and improve business outcomes. . With data at the heart of its business, SMG has for many years pursued the most cutting-edge data management technologies.

Management 67

Management Hadoop Data Warehouse Data Science 67

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.) Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

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. A deep learning model called FormNet was explicitly designed for extracting documents from scanned forms.

Project 96

Project Healthcare Deep Learning Transportation 96

ProjectPro

JULY 22, 2016

Data warehouses do a good job for what they are meant to do, but with disparate data sources and different data types like transaction logs, social media data, tweets, user reviews, and clickstream data –Data Lakes fulfil a critical need.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

Striim

AUGUST 28, 2024

For instance, real-time inventory management in retail can prevent stockouts and overstock, directly impacting sales and customer satisfaction. Dynamic Pricing in Retail ML algorithms consider a multitude of factors, including competitor pricing, inventory levels, historical sales data, and customer behavior.

Healthcare 52

Healthcare Retail Algorithm Finance 52

Knowledge Hut

APRIL 23, 2024

Healthcare Fraud Detection : Big data analytics plays a crucial role in preventing financial losses and guaranteeing the integrity of the healthcare system by examining trends and abnormalities in claims data. Big Data Use Cases in Retail Demand Forecasting: Big data analytics aid merchants in properly forecasting customer demand.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

DECEMBER 1, 2017

The demand for hadoop in managing huge amounts of unstructured data has become a major trend catalyzing the demand for various social BI tools. Source : [link] ) For the complete list of big data companies and their salaries- CLICK HERE Hadoop Market Opportunities, Scope, Business Overview and Forecasts to 2022.OpenPR.com,

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

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. Connection layer.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

APRIL 23, 2024

Example of Data Variety An instance of data variety within the four Vs of big data is exemplified by customer data in the retail industry. Customer data come in numerous formats. It can be structured data from customer profiles, transaction records, or purchase history.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

MAY 2, 2024

Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. Let’s look at some of the use cases in a few of these organizations.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

Knowledge Hut

APRIL 25, 2024

Variety: Unstructured data, semi-structured data, and raw data are only a few examples of the variety of data kinds that exist. In many situations, as stated below, a useful conclusion can be reached by examining this data: 1.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

MARCH 19, 2024

RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases). Challenge SPS serves over 90,000 retail, distribution, grocery, and e-commerce businesses.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

ProjectPro

JUNE 9, 2015

The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses. We have made significant investment in data intelligence.”-said Hadoop is de-facto at Flipkart.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

Striim

AUGUST 31, 2023

Additionally, it allows for efficient processing of both real-time and historical data which eliminates the need for multiple versions of the same dataset or manually managed systems. The versatility offered by kappa architectures makes them suitable for many industries such as healthcare, finance, retail, telecoms energy and more.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 69

ProjectPro

APRIL 27, 2015

there is not sufficient man power to keep track of all the streams of video, the government could use one of the many big data analytics solutions provided by big data start-ups. 1) Spotify Big Data Startup Success Stories With 60 million active users worldwide, close to 6 million paying customers, 20 million songs and approximately 1.5

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

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. 6 th May, 2015, Yahoo News - IBM announces partnership with Facebook.

Big Data 40

Big Data Retail Banking Unstructured Data 40

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Monte Carlo

MAY 28, 2024

Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture. Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

DECEMBER 27, 2023

A business generates data daily related to production, sales, marketing , customer feedback, team structure, costs, and other metrics. Sometimes it isn't easy to get a clear picture of the business because of unstructured data, and data visualization benefits the company by visually structuring the data.

Telecommunication 52

Telecommunication Bytes Machine Learning Data Science 52

Knowledge Hut

JULY 24, 2023

In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. From retail giants tracking customer behavior to healthcare organizations optimizing patient care, the possibilities are endless. In this blog, we will talk about the future of database management.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

MAY 31, 2023

It can also be used to generate reports and forecasts based on inventory data. This type of project can be useful for businesses in various industries, such as retail, manufacturing and distribution. From optimizing retail inventory to building decentralized organizations on blockchains, there's something here for everyone.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

JULY 26, 2023

RDBMSs such as MySQL and PostgreSQL provide structured storage, defined relationships, and data integrity. NoSQL databases, such as MongoDB or Cassandra, can handle massive amounts of unstructured data while being scalable. NoSQL databases like MongoDB are intended to store and manage massive amounts of unstructured data.

Database 52

Database NoSQL Telecommunication MongoDB 52