Knowledge Hut

DECEMBER 26, 2023

Mining of Massive Datasets By Jure Leskovec, Anand Rajaraman, Jeff Ullma This book will provide a comprehensive understanding of large-scale data mining and network analysis. Web Scraping Web scraping knowledge is one of the basic requirements to become a data scientist or analyst to develop completely automated systems.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

ProjectPro

JUNE 9, 2021

As we proceed further into the blog, you will find some statistics on data engineering vs. data science jobs and data engineering vs. data science salary, along with an in-depth comparison between the two roles- data engineer vs. data scientist. vs. What does a Data Engineer do?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JUNE 18, 2021

Python is used heavily in the backend to process the data. Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. Many top companies like Spotify, Uber, continue to use Java along with Python to host business-critical data science applications.

Java 52

Java Data Science Python Programming Language 52

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. What is Data Aggregation?

Process 59

Process Data Mining Aggregated Data Portfolio 59

ProjectPro

OCTOBER 18, 2021

Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

U-Next

OCTOBER 27, 2022

It has recently gained prominence and has been deployed for various purposes, such as data storage, processing, and software development. It can be used for managing large data sets and processing them quickly. This method allows computers to discover hidden patterns in large datasets by grouping similar items together.

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

It has recently gained prominence and has been deployed for various purposes, such as data storage, processing, and software development. It can be used for managing large data sets and processing them quickly. The algorithms are trained using a large data set, and then they can perform tasks requiring human intelligence.

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

Knowledge Hut

SEPTEMBER 6, 2023

Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Consequently, we see a huge demand for big data professionals.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

SEPTEMBER 25, 2023

Is Data Analyst Certification worth it? In my opinion, Data analyst certification is definitely worth it. In just five months, you can learn everything you need to know to launch a lucrative career in data analysis.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

FEBRUARY 8, 2016

It is the simplest form of analytics, and it describes or summarises the existing data using existing business intelligence tools. The main techniques used here are data mining and data aggregation. Descriptive analytics involves using descriptive statistics such as arithmetic operations on existing data.

Data Mining 56

Data Mining Big Data Medical Healthcare 56

ProjectPro

JULY 3, 2015

solutions with in-memory technology store data in the working memory instead of the hard drive making it easier for processing, evaluation and use. SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. .

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JULY 13, 2015

With more than 150 petabytes of data, approximately 3.5 billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

U-Next

SEPTEMBER 21, 2022

Read this article to learn how a massive amount of data is collected, organized, and processed to extract useful information using data warehousing and data mining. You will also understand the Difference between Data Warehousing and Data Mining in a detailed manner. . Data Mining .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

Architecture 52

Architecture Database-centric Process BI 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

MARCH 7, 2016

With the increasing surge in Big Data applications and solutions, a number of big data certifications are growing which aim at recognizing the potential of a candidate to work with large datasets.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Grouparoo

NOVEMBER 16, 2021

Breaking silos and collating data into a coherent set of information for processing will yield business benefits. This is where data transformation can come to the rescue. Traditional processes for data transformation follow the principle of Extract, Transform, and Load (ETL). To validate data and improve quality.

Data Mining 52

Data Mining Raw Data ETL Tools Unstructured Data 52

Advancing Analytics: Data Engineering

JULY 2, 2019

That’s why I’m calling it “emerging” – it’s not yet mainstream and it’s undergoing flux in its definition, but it’s growing at a significant rate… but what is it? We might even extend this definition to cover the “COLLECT” layer and even some of the “AGGREGATE/LABEL” layer, that’s not the point I’m trying to make.

Business Intelligence 52

Business Intelligence Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Natural Language Processing (NLP) 5. Quite similar to classification is clustering but with the minor difference of working with unlabelled data. Clustering defines the process of grouping together identical objects into individual clusters. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

MAY 23, 2015

With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. petabytes of unstructured data from 1 million customers every hour. How Walmart uses Big Data? Walmart has a broad big data ecosystem.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

U-Next

AUGUST 3, 2022

Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. And Data Science has a significant impact here. They gather and examine enormous amounts of structured and unstructured data.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. The data may be accessed to issue reports or to find any hidden patterns in the data.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Rockset

JULY 25, 2019

This type of analytics, like others, involves the use of various data mining and data aggregation tools to get more transparent information for business planning. Definition of Operational Analytics Processing An operational analytics system helps you make instant decisions from reams of real-time data.

Software Engineer 40

Software Engineer Software Engineering Engineering PostgreSQL 40

ProjectPro

MARCH 16, 2015

McKinsey projects that the use of Big Data in healthcare can reduce the healthcare data management expenses by $300 billion -$500 billion. Big Data in healthcare originates from the large electronic health datasets – these datasets are very difficult to manage with the conventional hardware and software.

Healthcare 40

Healthcare Big Data Project Hospitality 40

Knowledge Hut

DECEMBER 26, 2023

Big Data is an immense amount of data that is constantly growing exponentially. Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Kicking off a big data analytics project is always the most challenging part.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

MAY 12, 2023

By understanding these aspects comprehensively, you can harness the true potential of unstructured data and transform it into a strategic asset. What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Towards Data Science

FEBRUARY 2, 2024

And while there’s certainly value in its simplicity, it doesn’t capture the full value of the data team. The data ROI pyramid tackles this question with a similar formula to the one in the introduction: (Data product value — data downtime) / data investment = ROI …but there are two key differences.

Data 85

Data Aggregated Data Machine Learning Data Mining 85

Monte Carlo

JANUARY 24, 2024

And while there’s certainly value in its simplicity, it doesn’t capture the full value of the data team. The data ROI pyramid tackles this question with a similar formula to the one in the introduction: (Data product value – data downtime) / data investment = ROI …but there are two key differences.

Data 69

Data Aggregated Data Machine Learning Data Mining 69