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

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 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

NOVEMBER 20, 2023

Automation is more prevalent in the manufacturing, administrative, logistics, and optimization industries. Robotic process automation (RPA), data entry, manufacturing, etc. This is done in the following sequence: Data collection, Data processing, Feature extraction, Model selection, Training.

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Finance 52

Knowledge Hut

MARCH 27, 2024

Although it's open source, it only supports 10000 data rows and one logical processor. ML models can be deployed to the web or mobile (only when the user interface is ready for real-time data collection) with the assistance of Rapid Miner. 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

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JUNE 23, 2023

Many industries and businesses utilize real-time data analytics to get insights and make decisions based on data collected in real time. Here are some examples: Social media networks utilize real-time data analytics to examine user behavior, identify unwanted material, and improve user experience.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. IT, Retail, Sales & Marketing, Healthcare, Manufacturing, Education, etc.,

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

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

AltexSoft

APRIL 27, 2023

Increasing diversity in clinical trials: Moderna Data has always been a critical asset for a research-driven biopharmaceutical manufacturer like Moderna , especially when it comes to increasing the efficacy of clinical trials. The event harmonizer automates data collection and processing.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

ProjectPro

OCTOBER 20, 2021

Six Sigma, factory-like approach to manufacturing and managing algorithm Considering algorithms as part of the entire flow instead of the whole process means that we can focus more on manufacturing algorithms and reducing errors. A new branch of data collection and processing for ai / ml is federated learning.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

DoorDash Engineering

APRIL 23, 2024

As our catalog expands, we seek new approaches driven by machine learning to auto-enrich SKU data. Extracting attribute-value information from unstructured data is formally known as named-entity recognition ; most recent approaches model the extraction task as a token classification.

Building 84

Building Retail Manufacturing Unstructured Data 84

Knowledge Hut

APRIL 23, 2024

NLP also allows businesses to generate insights from unstructured data sources like customer feedback and social media. Data Discovery and Visualization Data discovery and visualization are also emerging trends in BI. Data discovery refers to exploring data to identify patterns, trends, and outliers.

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

U-Next

SEPTEMBER 23, 2022

Previously, organizations dealt with static, centrally stored data collected from numerous sources, but with the advent of the web and cloud services, cloud computing is fast supplanting the traditional in-house system as a dependable, scalable, and cost-effective IT solution. Streaming -It refers to the continuous flow of data.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Knowledge Hut

DECEMBER 26, 2023

The knowledge gap is filled by this book, which provides a first-hand account of how big businesses use big data daily. Find out more about big data trends and how they affect the business world (risk, marketing, healthcare, financial services, etc.).

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

MARCH 14, 2014

As the big data boom spreads globally, we at ProjectPro describe on how big data helps business across different industries and the companies using big data that stand to gain the most from implementing big data initiatives. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio!

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Knowledge Hut

FEBRUARY 28, 2024

In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. What is Big Data? Big data refers to large amounts of data. The differentiation between data and big data becomes clear once we look at the methods of analyzing them.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52