ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? The main objective of migrating the Hadoop clusters was to combine 10 different websites into a single website so that all the unstructured data generated is collected into a new Hadoop cluster. Walmart uses data mining to discover patterns in point of sales data.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

FEBRUARY 16, 2023

The term "intelligence" in AI refers to computer intelligence, whereas "intelligence" in BI refers to more intelligent business decision-making that data analysis and visualization may provide. AI can help BI tools provide clear, actionable insights from the study data. Individual data analysis takes a long time.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Processing massive amounts of unstructured text data requires the distributed computing power of Hadoop, which is used in text mining projects.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Knowledge Hut

MAY 31, 2023

Sales Data Analysis It involves the analysis of data on every aspect of a company’s sales. Excel or Google Sheets can clean and analyze data for charts and graphs. Python or R is good for advanced data analysis and statistical modeling, like looking for trends or making predictions.

Project 52

Project Datasets Media Python 52

Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Textual data extraction is vital for sentiment analysis, content categorization, and text mining.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

MAY 1, 2024

A data scientist is a person who is trained and experienced in working with data, i.e. data gathering, data cleaning, data preparation, data transformation, and data analysis. These steps will help understand the data, extract hidden patterns and put forward insights about the data.

Algorithm 98

Algorithm Raw Data Data Science Computer Science 98

Knowledge Hut

MAY 31, 2024

Sociological: life, culture, the media, and population. Descriptive Analytics Data aggregation and data mining are essential BA (Business Analytics) elicitation techniques used in descriptive analytics to analyze historical data and find patterns and trends. Economic: Interest rates, the cost of energy, and labor.

Business Analyst 52

Business Analyst Data Mining Machine Learning Utilities 52

Knowledge Hut

MARCH 27, 2024

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. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Edureka

APRIL 17, 2023

This type of analysis can help businesses better understand their customers and tailor their products and services to meet their specific needs. Social Media Sentiment Analysis: Social media sentiment analysis involves analyzing social media data to determine the sentiment or opinion of users about a particular product or service.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. These use cases show only fractional potential applications of real-time data ingestion.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

Knowledge Hut

DECEMBER 26, 2023

A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis. The industry is computer software.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Edureka

FEBRUARY 18, 2023

This may involve cleaning the data, formatting it, and structuring it in a way that is useful for analysis. Data analysis: The next step is to analyze the data to identify trends, patterns, and insights. This helps decision-makers to quickly and easily interpret the data and identify key insights.

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 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 Media 52

U-Next

OCTOBER 27, 2022

To bridge the gap between the massive volumes of consumer data being acquired and the following actions digital marketers may take for future campaigns, the following components of AI marketing are making up today’s top solutions: . Companies’ data-mining practices are coming under scrutiny from both consumers and authorities.

Designing 40

Designing Machine Learning Media Digital Media 40

Knowledge Hut

APRIL 19, 2023

Identify source systems and potential problems such as data quality, data volume, or compatibility issues. Step 2: Extract data: extracts the necessary data from the source system. This API may include using SQL queries or other data mining tools. It can handle huge data and is highly scalable.

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

Knowledge Hut

DECEMBER 27, 2023

Big data is often denoted as three V’s: Volume, Variety and Velocity. Volume : Refers to the massive data that organizations collect from various sources like transactions, smart devices (IoTs), videos, images, audio, social media and industrial equipment just to name a few. Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

JUNE 16, 2023

It is apt for data mining and analysis tasks and provides efficient models for clustering, model selection, pre-processing, and many other data management tasks. It can help you write engaging copies of emails, social media posts, and other significant documentation. Are you looking for free machine-learning tools?

Machine Learning 52

Machine Learning Data Mining Algorithm Data Science 52

Knowledge Hut

JANUARY 18, 2024

Picture this: every day, we generate a mind-boggling amount of data. From social media posts and online transactions to sensor readings and healthcare records, data is the fuel that powers modern businesses and organizations. A Data Analyst Bootcamp online course can be pursued to gain more in-depth knowledge and expertise.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

U-Next

AUGUST 11, 2022

Other skills this role requires are predictive analysis, data mining, mathematics, computation analysis, exploratory data analysis, deep learning systems, statistical tests, and statistical analysis. Also, experience is required in software development, data processes, and cloud platforms. .

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

AUGUST 16, 2024

This will form a strong foundation for your Data Science career and help you gain the essential skills for processing and analyzing data, and make you capable of stepping into the Data Science industry. Skills in Python Python is one of the highly required and one of the most popular programming languages among Data Scientists.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Knowledge Hut

NOVEMBER 16, 2023

It is an integrated system of software products that help to perform critical data-entry, data-retrieval, data-management, data-mining, report writing and graphics. MongoDB is built to handle large amounts of data while maintaining good performance.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Knowledge Hut

JULY 26, 2023

With the ever-expanding explosion of data generated via social media, the Internet, and various other sources, companies are constantly looking for skilled people to help them with all the data. It implies that professionals with expertise in fields like data modeling, data warehousing, and data mining will be highly demanded.

Database 52

Database MySQL Certification SQL 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 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 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. Examples of Descriptive HR Analytics . Challenges .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Airport Authority Data Analysis 12. Covid-19 Insights Analysis 13.

BI 52

BI Project Business Intelligence Datasets 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

OCTOBER 18, 2021

Recommendation engines are popular in media, entertainment, and shopping. Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). also have the same feature.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

JUNE 4, 2024

Examples of Data Visualization in Data Science Here are some popular data visualization examples. Internet websites: Social media analytics websites such as Social Blade and Google Analytics use data visualization techniques to analyze and compare the performance of websites. It is a collection of these skills.

Data Science 40

Data Science Datasets Data Python 40

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 Data Analytics 56

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

AltexSoft

JULY 27, 2021

TikTok – the China-based social media platform popular with teenagers – recommends accounts to follow with the help of user-centered modeling. This type of CF uses machine learning or data mining techniques to build a model to predict a user’s reaction to items. How recommender systems work: data processing phases.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Data Cleaning — Explaining the data inconsistencies and how did you handle them. Explore More Data Science and Machine Learning Projects for Practice. How would you detect fake news on social media?

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

AUGUST 24, 2021

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Blob Storage for intermediate storage of generated predictions.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Knowledge Hut

JANUARY 19, 2024

You will learn about data management, data optimization, predictive modeling, & machine learning. This specialization will prepare you for a career in business intelligence, data mining, & data analysis.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

ProjectPro

APRIL 2, 2015

Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. Thus, it is extremely important for retailers to employ sentiment analysis using Hadoop, for precise and accurate predictions as the customers are unforgiving.

Retail 40

Retail Hadoop Big Data Data Mining 40