ProjectPro

JUNE 2, 2015

This will supercharge the marketing tactics of the business and make data precious than ever. Before organizations rely on data driven decision making, it is important for them to have a good processing power like Hadoop in place for data processing. times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Retail 40

Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Let's check some of the best big data analytics tools and free big data analytics tools.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

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

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

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

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

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. Real-life Examples of Big Data In Action .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

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

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