Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

APRIL 23, 2024

Big data stands out due to its significant volume, quick velocity, and wide variety, leading to difficulties in storage, processing, analysis, and interpretation. Organizations can utilize big data to discover valuable insights, patterns, and trends that encourage innovation, enhance decision-making, and boost operational efficiency.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Sync Computing

NOVEMBER 7, 2024

Depending on what sort of leaky analogy you prefer, data can be the new oil , gold , or even electricity. Of course, even the biggest data sets are worthless, and might even be a liability, if they arent organized properly. Data collected from every corner of modern society has transformed the way people live and do business.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Knowledge Hut

DECEMBER 26, 2023

An information and computer scientist, database and software programmer, curator, and knowledgeable annotator are all examples of data scientists. They are all crucial for the administration of digital data collection to be successful. In the twenty-first century, data science is regarded as a profitable career.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

U-Next

SEPTEMBER 7, 2022

The various steps in the data management process are listed below: . Data collection, processing, validation, and archiving . Combining various data kinds, including both structured and unstructured data, from various sources . Ensuring catastrophe recovery and high data availability .

Data Management 52

Data Management Management Electronics Database 52

Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JUNE 20, 2023

Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

AltexSoft

JUNE 7, 2021

The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. The framework provides a way to divide a huge data collection into smaller chunks and shove them across interconnected computers or nodes that make up a Hadoop cluster.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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. Also, experience is required in software development, data processes, and cloud platforms. .

Medical 52

Medical Computer Science Machine Learning Scala 52

ProjectPro

JULY 3, 2015

.”- Henry Morris, senior VP with IDC SAP is considering Apache Hadoop as large scale data storage container for the Internet of Things (IoT) deployments and all other application deployments where data collection and processing requirements are distributed geographically. Table of Contents How SAP Hadoop work together?

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights. And this innovation ultimately creates bikes that the competition can only dream of.”

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights. And this innovation ultimately creates bikes that the competition can only dream of.”

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

AltexSoft

OCTOBER 18, 2022

Medical data labeling. Medical or not, unstructured data — like texts, images, or audio files — require labeling or annotation to train machine learning models. This process involves adding descriptive elements — tags — to pieces of data so that a computer could understand what the image or text is about.

Medical 52

Medical Datasets Machine Learning Hospitality 52

AltexSoft

MAY 14, 2021

Data generated from various sources including sensors, log files and social media, you name it, can be utilized both independently and as a supplement to existing transactional data many organizations already have at hand. The process of identifying the sources and then getting Big Data varies from company to company.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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

AltexSoft

JULY 27, 2021

By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

JANUARY 27, 2023

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 52

BI ETL Tools 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

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. The data is continually watched, processed, and the necessary actions are done in an iterative process known as real-time analytics.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Knowledge Hut

JANUARY 30, 2024

Its flexibility allows organizations to leverage data value, regardless of its format or source, and can reside in various storage environments, from on-premises solutions to cloud-based platforms or a hybrid approach, tailored to the organization's specific needs and strategies. What is the purpose of extracting data?

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively. Optimizing resource utilization is crucial.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

Knowledge Hut

NOVEMBER 20, 2023

More than 97% of mobile users reportedly utilize AI voice assistants. This is done in the following sequence: Data collection, Data processing, Feature extraction, Model selection, Training. They can also work with unstructured data (like emails, feedback, webpages, images, videos, etc.) What is Automation?

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Finance 52

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

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

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Generally, the range is $99,000 to $164,000.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

ProjectPro

MAY 8, 2015

We are producing huge amount of big data ranging from our online purchases on e-commerce websites, our social interactions, financial activities, energy utilization, driving activities, online marketing campaigns and online petitions. The customer’s data is highly valuable to a company.

Big Data 40

Big Data Retail Banking Healthcare 40

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

AltexSoft

FEBRUARY 21, 2023

With sufficient and quality data in place, ML becomes a valuable tool to forecast hotel deals. Data collection and preprocessing As with any machine learning task, it all starts with high-quality data that should be enough for training a model. So how exactly are hotel price prediction tools built? Public datasets.

Hospitality 52

Hospitality Algorithm Datasets Machine Learning 52

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

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

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

AltexSoft

SEPTEMBER 21, 2023

These indices are specially designed data structures that map out the data for rapid searches, allowing for the retrieval of queries in milliseconds. As a result, Elasticsearch is exceptionally efficient in managing structured and unstructured data. Fluentd is a data collector and a lighter-weight alternative to Logstash.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

JUNE 9, 2021

Difference between Data Science and Data Engineering Data Science Data Engineering Data Science involves extracting information from raw data to derive business insights and values using statistical methods. Data Engineering is associated with data collecting, processing, analyzing, and cleaning data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 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 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