ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Knowledge Hut

MARCH 27, 2024

A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JANUARY 11, 2024

BI is a trending and highly used domain that combines business analytics, data visualization, data mining, and multiple other data-related operations. Businesses use the best practices coming under business intelligence to mine their data and extract the information essential to make significant business decisions.

Business Intelligence 52

Business Intelligence BI Raw Data Retail 52

AltexSoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Edureka

APRIL 17, 2023

What is the Role of Data Analytics? Data analytics is used to make sense of data and provide valuable insights to help organizations make better decisions. Data analytics aims to turn raw data into meaningful insights that can be used to solve complex problems.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist?

Retail 52

Retail Data Science Computer Science Entertainment 52

Edureka

FEBRUARY 18, 2023

BI can help organizations turn raw data into meaningful insights, enabling better decision-making, optimizing operations, enhancing customer experiences, and providing a strategic advantage. This may involve cleaning the data, formatting it, and structuring it in a way that is useful for analysis.

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 52

U-Next

JULY 4, 2022

Data science helps mine large amounts of data to derive insight into the customer of a business organisation. Since a huge amount of data is generated daily, businesses now make decisions based on the pattern of data. A data scientist’s salary may range between Rs. Data Analysts. Lakh to Rs.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

U-Next

SEPTEMBER 23, 2022

Reframing course material based on data acquired depending on what a student learns and to what extent by real-time monitoring of course components of database is useful to students. As a result of proper data analysis, new developments in grading methods have been created. Components of Database of the Big Data Ecosystem .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

U-Next

SEPTEMBER 28, 2022

The practice of gathering and analyzing Human Resource (HR) data to boost an effective and efficient workforce performance is known as HR Analytics. This data analysis approach uses commonly acquired HR data and compares it to HR and organizational objectives. Let’s learn the types of HR Analytics one by one: .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

JUNE 24, 2021

Data Cleaning: To improve the data quality and filter the noisy, inaccurate, and irrelevant data for analysis, data cleaning is a key skill needed for all analytics job roles. Microsoft Excel: A successful Excel spreadsheet helps to organize raw data into a more readable format.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

OCTOBER 18, 2021

Recommendation engines are popular in media, entertainment, and shopping. To build such ML projects, you must know different approaches to cleaning raw data. Also, must have a thorough understanding of regression analysis especially, simple linear regression. Modern e-commerce sites like Flipkart, Amazon, Alibaba, etc.,

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. To build a big data project, you should always adhere to a clearly defined workflow.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

AUGUST 11, 2021

Data Lake vs Data Warehouse - The Differences Before we closely analyse some of the key differences between a data lake and a data warehouse, it is important to have an in depth understanding of what a data warehouse and data lake is. Data Lake vs Data Warehouse - The Introduction What is a Data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

FEBRUARY 8, 2016

Different types, types, and stages of data analysis have emerged due to the big data revolution. Data analytics is booming in boardrooms worldwide, promising enterprise-wide strategies for business success. The main techniques used here are data mining and data aggregation.

Data Mining 56

Data Mining Big Data Medical Healthcare 56

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. Finally, the data is published and visualized on a Java-based custom Dashboard.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52