Knowledge Hut

JULY 26, 2023

Users can use commands or user-friendly graphical interfaces to create, update, delete, and retrieve data from the database. They are used in a wide range of businesses and areas, including banking, healthcare, e-commerce, and manufacturing. Cloud-based databases provide flexibility, scalability, and cost-effectiveness.

Database 52

Database NoSQL Telecommunication MongoDB 52

Snowflake

JANUARY 18, 2024

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

Manufacturing 83

Manufacturing Unstructured Data Cloud Architecture 83

Precisely

MARCH 27, 2023

Transforming Go-to-Market After years of acquiring and integrating smaller companies, a $37 billion multinational manufacturer of confectionery, pet food, and other food products was struggling with complex and largely disparate processes, systems, and data models that needed to be normalized.

Food 52

Food Consulting Pharmaceutical Data Lake 52

Cloudera

OCTOBER 28, 2021

There is a wealth of data now available to make this possible. 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). Another example is fleet management.

Insurance 95

Insurance Transportation Unstructured Data Manufacturing 95

Knowledge Hut

MARCH 26, 2024

Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Cloudera

APRIL 20, 2021

Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better. Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production.

Hospitality 93

Hospitality Retail Kafka Data Ingestion 93

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.

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Underpinning everything with security and governance.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Knowledge Hut

NOVEMBER 18, 2023

Many companies manufacturing agricultural products use these techniques to learn about the soil type and plan their work strategies accordingly. AI Algorithms in Business Processes From advanced to basic AI algorithms, each can handle vast amounts of structured and unstructured data.

Algorithm 52

Algorithm IT Computer Science Unstructured Data 52

AltexSoft

AUGUST 29, 2023

Unstructured data sources. This category includes a diverse range of data types that do not have a predefined structure. Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JUNE 27, 2023

It helps to exchange data and interact with each other without human intervention. Applications: Healthcare, transportation, agriculture, and manufacturing. Big Data Overview: Big data refers to the massive volumes of structured and unstructured data generated by modern digital technologies.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

Knowledge Hut

JUNE 16, 2023

Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format. After the data has been extracted, data analysts must transform the unstructured data into structured data by fixing data errors, removing unnecessary data, and identifying potential data.

Programming Language 52

Programming Language Data Preparation Cloud Computing Data Science 52

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio analysis has already gained broad adoption in various industries, from entertainment to healthcare to manufacturing. Audio data file formats. Below we’ll give most popular use cases.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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. Systems can be designed to monitor inventory levels, suppliers and purchases.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

Knowledge Hut

JUNE 26, 2023

Multiple types of data exist within organizations, and it is the obligation of data architects to standardize them so that data analysts and scientists can use them interchangeably. If data scientists and analysts are pilots, data engineers are aircraft manufacturers.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Snowflake

FEBRUARY 6, 2024

An end-user-facing data catalog or marketplace can improve discoverability and access. Transform unstructured data to expand available internal data. To ensure that all data is made available, organizations must adopt tools to transform unstructured data into usable formats.

Unstructured Data 95

Unstructured Data Retail Data Manufacturing 95

ProjectPro

JANUARY 28, 2022

This is especially useful in unstructured data like images where anomalies could be any type of image other than the one trained on the model. To summarise, unsupervised anomaly detection methods work best when you’re not aware of the type of anomalies that may occur, especially with unstructured data.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

Knowledge Hut

APRIL 23, 2024

Targeted Marketing & Campaigns: Big data gives telecom companies the ability to divide up their client base, analyze the use patterns and demographic information, and create personalized marketing campaigns and offers that will boost customer acquisition and retention.

Big Data 52

Big Data Retail Recruitment Transportation 52

Knowledge Hut

DECEMBER 27, 2023

Supply Chain Executive Supply Chain Executives are responsible for how companies drive the smooth flow of goods from manufacturing to delivery. In recent years, the demand for Data Scientists has grown on a huge scale. A Data Scientist is a computer expert with skills like collecting and analyzing data.

Banking 52

Banking Recruitment Finance Portfolio 52

ProjectPro

JUNE 1, 2017

Zensar Technologies announced the launch of its new big data platform for effortless end to end information management to address complex business problems through empowered data driven insights.The new big data platform provides data driven decision making culture by integrating the existing assets of an organization with various unstructured data (..)

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Monte Carlo

JANUARY 16, 2024

Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

ProjectPro

SEPTEMBER 26, 2014

BI professionals use various tools to draw useful data that are used to generate customized reports and this is where the Hadoop File Distribution System (HDFS) proves itself. Today, the manufacturing sector uses Hadoop for assessment of product quality. Hadoop has proven its usefulness in various segments of business.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

Knowledge Hut

NOVEMBER 20, 2023

Automation is more prevalent in the manufacturing, administrative, logistics, and optimization industries. Robotic process automation (RPA), data entry, manufacturing, etc. Artificial Intelligence AI systems are adept at mimicking human intelligence, be it problem-solving, understanding complex data, reasoning, or learning.

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Finance 52

Snowflake

APRIL 10, 2023

The platform pushes the boundaries of natural language processing (NLP) with a diverse, rapidly expanding (and almost limitless) number of use cases that extends from automotive manufacturing and chemicals to HR, insurance, legal, finance, and government. From there, we can process information not unlike how humans do.

Unstructured Data 54

Unstructured Data Manufacturing Insurance Government 54

ProjectPro

JUNE 2, 2015

The General Services Administration has partnered with a Massachusetts based big data analytics company FirstFuel to save $13 million annually in the energy costs across 180 buildings. Big data is unusable without structure and companies might take years to comprehend the data, and yet might not be able to yield useful insights.

Big Data 40

Big Data Hadoop Banking Retail 40

Knowledge Hut

MARCH 27, 2024

Factors Considered for Selecting the Best Big Data Analytics Tools There are a few factors to consider when selecting the best big data analytics tool for your organization. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JUNE 23, 2023

Here are some examples: Social media networks utilize real-time data analytics to examine user behavior, identify unwanted material, and improve user experience. Real-time data analytics monitors production lines, identifies problems, and enhances methods in manufacturing industries.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Cloudera

JUNE 4, 2018

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. By use case: content may also support multiple research and drug manufacturing use cases.

Pharmaceutical 46

Pharmaceutical Unstructured Data Electronics Metadata 46

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

SEPTEMBER 15, 2022

There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency.

Systems 87

Systems Hadoop Metadata Telecommunication 87