Data Science Dojo

JULY 12, 2023

Welcome to the world of databases, where the choice between SQL (Structured Query Language) and NoSQL (Not Only SQL) databases can be a significant decision. In this blog, we’ll explore the defining traits, benefits, use cases, and key factors to consider when choosing between SQL and NoSQL databases.

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Data Science Dojo

MAY 10, 2023

They require strong programming skills, expertise in data processing, and knowledge of database management. Salary Trends – Data engineers can earn salaries ranging from $90,000 to $130,000 per year, depending on their experience and the location of the job.

Data Science 366

Data Science Data Scientist Database Administration Machine Learning 366

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc.,

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ODSC - Open Data Science

FEBRUARY 16, 2023

One business process growing in popularity is data mining. Since every organization must prioritize cybersecurity, data mining is applicable across all industries. But what role does data mining play in cybersecurity? They store and manage data either on-premise or in the cloud.

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Data Mining Data Mining Data Mining Data Science 98

Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? OLTP is the backbone of modern data processing, a critical component in managing large volumes of transactions quickly and efficiently. This approach allows businesses to efficiently manage large amounts of data and leverage it to their advantage in a highly competitive market.

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Database Data Scientist Data Mining Data Mining 159

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

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Data Mining Data Mining Data Mining Data Science 77

insideBIGDATA

AUGUST 4, 2023

Sponsored by the ACM, the 29TH SIGKDD Conference on Knowledge Discovery and Data Mining is coming to Long Beach, CA on August 6-10. The annual conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences.

Data Mining 195

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Analytics Vidhya

OCTOBER 8, 2021

This article was published as a part of the Data Science Blogathon Gathering and getting ready datasets is one of the critical techniques in any Machine learning project. People accumulate the dataset thru numerous approaches like databases, online repositories, APIs, survey forms, and many others.

Machine Learning 292

Machine Learning Machine Learning Data Science Database 292

Precisely

JULY 1, 2024

Each of the following data mining techniques cater to a different business problem and provides a different insight. Knowing the type of business problem that you’re trying to solve will determine the type of data mining technique that will yield the best results. The knowledge is deeply buried inside.

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Data Science Dojo

JUNE 19, 2023

Amidst the buzz surrounding big data technologies, one thing remains constant: the use of Relational Database Management Systems (RDBMS). The foundation of data – RDBMS as the bedrock Imagine building a skyscraper without a solid foundation—it would crumble under its own weight.

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Pickl AI

JUNE 28, 2023

What is Data Mining? In today’s data-driven world, organizations collect vast amounts of data from various sources. But, this data is often stored in disparate systems and formats. Here comes the role of Data Mining. Here comes the role of Data Mining.

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IBM Journey to AI blog

MARCH 14, 2024

The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage. Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation.

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Smart Data Collective

MAY 16, 2022

Data Management is considered to be a core function of any organization. Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. There are various types of data management systems available.

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Data Warehouse Data Mining Data Mining Data Mining 136

Data Science Dojo

MARCH 17, 2023

PubMed – PubMed is a free search engine accessing primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. Scopus – Scopus citation database that covers scientific, technical, medical, and social sciences literature.

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Analytics Vidhya

SEPTEMBER 25, 2023

It extracts the entire HTML code along with data stored in the database. Introduction Web scraping is the process of generating content and information from a website with the help of bots. Web scraping has various uses for large business organizations.

Database 191

Database Analytics Analytics Data Mining 191

Smart Data Collective

APRIL 19, 2022

Data mining technology has become very important for modern businesses. Companies use data mining technology for a variety of purposes. One of the most important is collecting revenue data to draft financial statements, forecast future sales and make decisions to address revenue shortfalls.

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Data Mining Data Mining Data Mining Database 122

Smart Data Collective

FEBRUARY 21, 2020

Maintaining product databases. They need to know how to use big data to handle these responsibilities. On top of that, you will need to possess different skills, including advanced mathematics, time management and data science to ensure a great work ethic. Database Design Electronic System Management.

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Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

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Data Mining Data Mining Data Mining Data Science 81

Smart Data Collective

JUNE 15, 2021

Big data can play a very important role in solving these challenges. Pre-employment screening with data mining tools increases the quality of candidates. These organizations use data mining tools to find out everything that they can about the people they are screening. Let’s have a look at some facts.

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Data Mining Data Mining Data Mining Big Data 134

Smart Data Collective

DECEMBER 29, 2021

You need to know which data-driven SEO tools and resources to utilize and how to use them to your advantage. Use Data Mining Tools to Discover the Best Performing Local Keywords. The good news is that big data tools have made it much easier. Tools like Ahrefs and SEMRush rely extensively on data analytics.

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Dataconomy

FEBRUARY 19, 2025

Association rules play a key role in data mining, revealing hidden patterns and correlations that empower businesses to make informed decisions. By utilizing these rules, organizations can uncover valuable insights from data, driving innovation and improving customer experiences. What are association rules in data mining?

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Data Mining Data Mining Data Mining Algorithm 91

Smart Data Collective

NOVEMBER 12, 2021

We talked about the benefits of outsourcing IoT and other data science obligations. You should use big data to improve your outsourcing models by data mining pools of talented employees. You will get even more benefits from outsourcing if you incorporate big data technology into it. Global companies spent over $92.5

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Data Science Blog

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.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

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Smart Data Collective

OCTOBER 14, 2019

They would source large volumes of data from different platforms into Hadoop’s. In addressing storage needs, traditional databases like Oracle are being replaced. Developers need an understanding of MongoDB, Couchbase, and other NoSQL database types. Spark is an in-memory database that’s a faster alternative to MapReduce.

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Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. The raw data can be fed into a database or data warehouse. An analyst can examine the data using business intelligence tools to derive useful information. .

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Smart Data Collective

SEPTEMBER 15, 2021

Some groups are turning to Hadoop-based data mining gear as a result. That means they could manually update mailing lists that are stored this way as though they were any other database. Nevertheless, there’s no reason why people can’t also rely on it to manage their lists and sendmail daemons as well.

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Smart Data Collective

DECEMBER 18, 2020

The data you need to disclose include the amount of cholesterol, calories, fats, sugars, proteins, vitamins, and minerals contained in the food. You can use a food & beverage labeling software to link data from production and pricing database files, weighing scales, ERP, WMS, and clocks to your labels.

Analytics 131

Analytics Analytics Big Data Big Data 131

Towards AI

FEBRUARY 1, 2024

Meme shared by bin4ry_d3struct0r TAI Curated section Article of the week Building a YoutubeGPT with LangChain, Gradio, and Vector Database by Yanli Liu This article discusses the GenAI Application Development Stack, a key to creating customized AI solutions. It also explores key components like LangChain, Gradio, and Vector Database.

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Towards AI

MAY 3, 2023

This is where the utilization of vector databases like Pinecone becomes valuable to store all the past experiences and aids as the memory for LLMs. Storing past ML insights to guide decision making Machine learning and deep learning models transform unstructured data into numerical vectors called embeddings.

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Dataconomy

SEPTEMBER 22, 2023

By creating backups of the archived data, organizations can ensure that their data is safe and recoverable in case of a disaster or data breach. Databases are the unsung heroes of AI Furthermore, data archiving improves the performance of applications and databases.

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Clustering Algorithm Data Classification Machine Learning 185

Dataversity

JUNE 3, 2021

Data Science is a multidisciplinary field that uses processes, algorithms, and systems to obtain various insights coming from both structured and unstructured data. It is related to data mining, machine learning, and big data. A data scientist – the person in […].

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Data Science Dojo

JANUARY 16, 2023

Structured data, for example, is the data a company obtains from its users via internal data acquisition methods such as marketing automation tools. More importantly, it follows the usual row-column database and is suited to the company’s exact needs.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Dataconomy

MAY 10, 2023

Open-source business intelligence (OSBI) is commonly defined as useful business data that is not traded using traditional software licensing agreements. This is one alternative for businesses that want to aggregate more data from data-mining processes without buying fee-based products.

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Smart Data Collective

OCTOBER 11, 2021

You’ll need to be very acquainted with SQL, a foundational programming language in the realm of data science, and be at least somewhat familiar with other languages and frameworks like Python, Spark, and Kafka. In addition to boosting your skills, this step will help you assemble a portfolio of work to show off your talent.

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Dataconomy

SEPTEMBER 17, 2024

When a user opens a website, the SSP collects data about them via cookies and sends the lot to Ad Exchange. The DSP accepts a request to display an ad, and checks the user profile information in the database, as well as in the database purchased from the DMP. The process of collecting and extracting data is called data mining.

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Becoming Human

JANUARY 23, 2023

Let’s understand with an example if we consider web development so there are UI , UX , Database , Networking , and Servers and for implementing all these things we have different-different tools - technologies and frameworks , and when we have done with these things we just called this process as web development.

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