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. It focuses on collecting, storing, and processing extensive datasets.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

AltexSoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. To gain competitive advantage, organizations have to make the best use of the unstructured data collected for profitable business decision making. What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

Striim

SEPTEMBER 11, 2024

Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

MAY 31, 2023

Artificial intelligence has had a profound impact on our daily lives, and we employ AI whenever you look through social media, open Spotify, or conduct a fast Google search. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field.

Project 96

Project Healthcare Deep Learning Transportation 96

Striim

OCTOBER 11, 2024

Because of this significant processing delay, businesses are unable to make timely decisions, as data is outdated by the time it’s finally transferred to the target. Real-time data pipelines equip business leaders with the knowledge necessary to make data-fueled decisions. This can result in major consequences.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Data Engineering Weekly

MAY 8, 2023

Receipt table (later referred to as table_receipts_index): It turns out that all the receipts were manually entered into the system, which creates unstructured data that is error-prone. This data collection method was chosen because it was simple to deploy, with each employee responsible for their own receipts.

Process 52

Process Banking Raw Data Finance 52

Knowledge Hut

JANUARY 30, 2024

Here, we explore the diverse types of Extraction, showcasing the breadth of possibilities it offers: Textual Data: This includes extracting textual content from sources such as documents, emails, social media posts, and web pages. 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

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

AltexSoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Data virtualization architecture example.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

APRIL 14, 2015

Dating sites need to generate as much online dating data as possible for more probability of success in matching up partners who like each other. It collects data on the behavior of users in website such as how many pictures they upload to the database, how many times they log in, what kind of profile they visit frequently, etc.

Big Data 52

Big Data Data Analysis Algorithm Hadoop 52

Knowledge Hut

JULY 26, 2023

This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing. Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Handling this variety of data requires flexible data storage and processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

U-Next

AUGUST 18, 2022

These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Both organized and unstructured data are used in Data Science. Data Science is thus entirely concerned with the present moment.

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

ProjectPro

APRIL 17, 2015

Last year when Twitter and IBM announced their partnership it seemed an unlikely pairing, but the recent big data news on New York Times about this partnership took a leap forward with IBM’s Watson all set to mine Tweets for sentiments.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Knowledge Hut

JUNE 20, 2023

Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters. Facial reorganization, social media optimization, etc. Additionally, they create and test the systems necessary to gather and process data for predictive modelling. They transform unstructured data into scalable models for data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

U-Next

AUGUST 11, 2022

Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. It’s a subset of ML which is capable of learning from unstructured data. Cybersecurity: Today, every individual has a virtual presence through a social media profile or a business website.

Medical 52

Medical Computer Science Machine Learning Scala 52

Knowledge Hut

JUNE 23, 2023

Who Uses Real-time Data Analytics? Many industries and businesses utilize real-time data analytics to get insights and make decisions based on data collected in real time. 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

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. The leading media streaming service says 80 percent of its watched content is based on algorithmic recommendations. How recommender systems work: data processing phases. Data collection.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

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

Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports. Companies utilize different approaches to deal with data in order to extract information from structured, semi-structured, or unstructured data sets.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

Knowledge Hut

MARCH 29, 2024

It helps teams organize large amounts of unstructured data or ideas into meaningful groups based on their natural relationships or similarities. The resulting diagram provides a visual representation of the data, making it easier to identify patterns, themes, and insights that can inform decision-making.

Process 52

Process Designing Unstructured Data Raw Data 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

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

SEPTEMBER 22, 2022

Data that is structured, such as spreadsheets or machine data, is used in machine learning (ML). A deep learning algorithm (DL) analyzes unstructured data such as text, video, social media posts, audio, images, etc. . Approximately 80% of a data scientist’s time is spent on this step. Random Forest

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

JUNE 2, 2015

It is difficult to make sense out of billions of unstructured data points (in the form of news articles, forum comments, and social media data) without powerful technologies like Hadoop, Spark and NoSQL in place. times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Data Analytics 40

ProjectPro

OCTOBER 20, 2021

This is used in social media to better gauge sentiments towards an event or a product. Solutions where speech, text, and other structures, as well as unstructured data, can be used to make better decisions Custom AI The final stage in the AI Journey is when a Custom AI solution to solve business problems can be made.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

Knowledge Hut

DECEMBER 27, 2023

Market Research Analyst Market Research Analyst supervises trending keywords, survey responses, and social media tags and understands the depth of the digital market to reach their potential customers. They help companies develop or maintain competition through thorough research and delivering data-packed insights into the market.

Banking 52

Banking Recruitment Finance Portfolio 52

ProjectPro

AUGUST 16, 2021

A typical machine learning project involves data collection, data cleaning, data transformation, feature extraction, model evaluation approaches to find the best model fitting and hyper tuning parameters for efficiency. Companies commonly use it to infer social media reviews, customer response and brand reputation.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

FEBRUARY 21, 2023

Microsoft introduced the Data Engineering on Microsoft Azure DP 203 certification exam in June 2021 to replace the earlier two exams. This professional certificate demonstrates one's abilities to integrate, analyze, and transform various structured and unstructured data for creating effective data analytics solutions.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

AUGUST 9, 2021

Topic modelling finds use in labelling vast amounts of unstructured data and organising the texts into topics and labels. Fake news is a deliberate misrepresentation of data and facts. With easy accessibility to the internet, new media and news houses have popped up all over the country.

Data Science 52

Data Science Python Project Datasets 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

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

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. Spark has a Streaming tool that can process real-time streaming data.

Big Data 52

Big Data Coding Project Hadoop 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